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{.z.z.z.z.z.z.vz.Zz.6z."z. z.y.y.y.y.y.y.ly.^y.Ny.:y. y.y.x.x.x.x.x.x.nx.Rx.@x.,x.x.x.w.w.w.w.w.w.pw.^w..x#x#P#p#p#*#@a,L#1@1pc,pP,pPbad allocationЌ,pPField.with_nullable(self, nullable) A copy of this field with the replaced nullability Parameters ---------- nullable : bool Returns ------- field: pyarrow.Field Examples -------- >>> import pyarrow as pa >>> field = pa.field('key', pa.int32()) >>> field pyarrow.Field >>> field.nullable True Create new field by replacing the nullability of an existing one: >>> field_new = field.with_nullable(False) >>> field_new pyarrow.Field >>> field_new.nullable FalseRecordBatchReader.read_next_batch(self) Read next RecordBatch from the stream. Raises ------ StopIteration: At end of stream. Returns ------- RecordBatcharrow.opaqueSchema.from_pandas(cls, df, preserve_index=None) Returns implied schema from DataFrame Parameters ---------- df : pandas.DataFrame preserve_index : bool, optional Whether to store the index as an additional field in the resulting ``Schema``. The default of None will store the index as a field, except for RangeIndex which is stored as metadata only. Use ``preserve_index=True`` to force it to be stored as a field. Returns ------- pyarrow.Schema Examples -------- >>> import pandas as pd >>> import pyarrow as pa >>> df = pd.DataFrame({ ... 'int': [1, 2], ... 'str': ['a', 'b'] ... }) Create an Arrow Schema from the schema of a pandas DataFrame: >>> pa.Schema.from_pandas(df) int: int64 str: large_string -- schema metadata -- pandas: '{"index_columns": [{"kind": "range", "name": null, ...BooleanScalar.as_py(self, *, maps_as_pydicts=None) Return this value as a Python bool. Parameters ---------- maps_as_pydicts : str, optional, default `None` Valid values are `None`, 'lossy', or 'strict'. This parameter is ignored for non-nested Scalars.Table.remove_column(self, int i) Create new Table with the indicated column removed. Parameters ---------- i : int Index of column to remove. Returns ------- Table New table without the column. Examples -------- >>> import pyarrow as pa >>> table = pa.table({'n_legs': [2, 4, 5, 100], ... 'animals': ["Flamingo", "Horse", "Brittle stars", "Centipede"]}) >>> table.remove_column(1) pyarrow.Table n_legs: int64 ---- n_legs: [[2,4,5,100]]RecordBatch._import_from_c(in_ptr, schema) Import RecordBatch from a C ArrowArray struct, given its pointer and the imported schema. Parameters ---------- in_ptr: int The raw pointer to a C ArrowArray struct. type: Schema or int Either a Schema object, or the raw pointer to a C ArrowSchema struct. This is a low-level function intended for expert users.RecordBatchReader.close(self) Release any resources associated with the reader.concat_batches(recordbatches, MemoryPool memory_pool=None) Concatenate pyarrow.RecordBatch objects. All recordbatches must share the same Schema, the operation implies a copy of the data to merge the arrays of the different RecordBatches. Parameters ---------- recordbatches : iterable of pyarrow.RecordBatch objects Pyarrow record batches to concatenate into a single RecordBatch. memory_pool : MemoryPool, default None For memory allocations, if required, otherwise use default pool. Examples -------- >>> import pyarrow as pa >>> t1 = pa.record_batch([ ... pa.array([2, 4, 5, 100]), ... pa.array(["Flamingo", "Horse", "Brittle stars", "Centipede"]) ... ], names=['n_legs', 'animals']) >>> t2 = pa.record_batch([ ... pa.array([2, 4]), ... pa.array(["Parrot", "Dog"]) ... ], names=['n_legs', 'animals']) >>> pa.concat_batches([t1,t2]) pyarrow.RecordBatch n_legs: int64 animals: string ---- n_legs: [2,4,5,100,2,4] animals: ["Flamingo","Horse","Brittle stars","Centipede","Parrot","Dog"]ChunkedArray.__arrow_c_stream__(self, requested_schema=None) Export to a C ArrowArrayStream PyCapsule. Parameters ---------- requested_schema : PyCapsule, default None The schema to which the stream should be casted, passed as a PyCapsule containing a C ArrowSchema representation of the requested schema. Returns ------- PyCapsule A capsule containing a C ArrowArrayStream struct.RecordBatchReader.__exit__(self, exc_type, exc_val, exc_tb)Field.with_name(self, name) A copy of this field with the replaced name Parameters ---------- name : str Returns ------- field : pyarrow.Field Examples -------- >>> import pyarrow as pa >>> field = pa.field('key', pa.int32()) >>> field pyarrow.Field Create new field by replacing the name of an existing one: >>> field_new = field.with_name('lock') >>> field_new pyarrow.FieldDevice.__setstate_cython__(self, __pyx_state)Table._is_initialized(self)PythonFile.readline(self, size=None) Read and return a line of bytes from the file. If size is specified, read at most size bytes. Parameters ---------- size : int Maximum number of bytes read_handle_arrow_array_protocol(obj, type, mask, size)StructArray._flattened_field(self, index, MemoryPool memory_pool=None) Retrieves the child array belonging to field, accounting for the parent array null bitmap. Parameters ---------- index : Union[int, str] Index / position or name of the field. memory_pool : MemoryPool, default None For memory allocations, if required, otherwise use default pool. Returns ------- result : ArrayIpcReadOptions.__setstate_cython__(self, __pyx_state)TransformInputStream.__setstate_cython__(self, __pyx_state)NativeFile.__setstate_cython__(self, __pyx_state)RecordBatchReader.from_stream(data, schema=None) Create RecordBatchReader from a Arrow-compatible stream object. This accepts objects implementing the Arrow PyCapsule Protocol for streams, i.e. objects that have a ``__arrow_c_stream__`` method. Parameters ---------- data : Arrow-compatible stream object Any object that implements the Arrow PyCapsule Protocol for streams. schema : Schema, default None The schema to which the stream should be casted, if supported by the stream object. Returns ------- RecordBatchReaderTable.add_column(self, int i, field_, column) Add column to Table at position. A new table is returned with the column added, the original table object is left unchanged. Parameters ---------- i : int Index to place the column at. field_ : str or Field If a string is passed then the type is deduced from the column data. column : Array, list of Array, or values coercible to arrays Column data. Returns ------- Table New table with the passed column added. Examples -------- >>> import pyarrow as pa >>> table = pa.table({'n_legs': [2, 4, 5, 100], ... 'animals': ["Flamingo", "Horse", "Brittle stars", "Centipede"]}) Add column: >>> year = [2021, 2022, 2019, 2021] >>> table.add_column(0,"year", [year]) pyarrow.Table year: int64 n_legs: int64 animals: string ---- year: [[2021,2022,2019,2021]] n_legs: [[2,4,5,100]] animals: [["Flamingo","Horse","Brittle stars","Centipede"]] Original table is left unchanged: >>> table pyarrow.Table n_legs: int64 animals: string ---- n_legs: [[2,4,5,100]] animals: [["Flamingo","Horse","Brittle stars","Centipede"]]BaseListArray.value_parent_indices(self) Return array of same length as list child values array where each output value is the index of the parent list array slot containing each child value. Examples -------- >>> import pyarrow as pa >>> arr = pa.array([[1, 2, 3], [], None, [4]], ... type=pa.list_(pa.int32())) >>> arr.value_parent_indices() [ 0, 0, 0, 3 ]_Tabular.column(self, i) Select single column from Table or RecordBatch. Parameters ---------- i : int or string The index or name of the column to retrieve. Returns ------- column : Array (for RecordBatch) or ChunkedArray (for Table) Examples -------- Table (works similarly for RecordBatch) >>> import pyarrow as pa >>> import pandas as pd >>> df = pd.DataFrame({'n_legs': [2, 4, 5, 100], ... 'animals': ["Flamingo", "Horse", "Brittle stars", "Centipede"]}) >>> table = pa.Table.from_pandas(df) Select a column by numeric index: >>> table.column(0) [ [ 2, 4, 5, 100 ] ] Select a column by its name: >>> table.column("animals") [ [ "Flamingo", "Horse", "Brittle stars", "Centipede" ] ]set_memory_pool(MemoryPool pool) Set the default memory pool. Parameters ---------- pool : MemoryPool The memory pool that should be used by default.DictionaryArray.from_buffers(DataType type, int64_t length, buffers, Array dictionary, int64_t null_count=-1, int64_t offset=0) Construct a DictionaryArray from buffers. Parameters ---------- type : pyarrow.DataType length : int The number of values in the array. buffers : List[Buffer | None] The buffers backing the indices array. dictionary : pyarrow.Array, ndarray or pandas.Series The array of values referenced by the indices. null_count : int, default -1 The number of null entries in the indices array. Negative value means that the null count is not known. offset : int, default 0 The array's logical offset (in values, not in bytes) from the start of each buffer. Returns ------- dict_array : DictionaryArrayBool8Type.__arrow_ext_class__(self)SparseCSRMatrix.to_scipy(self) Convert arrow::SparseCSRMatrix to scipy.sparse.csr_array.table(data, names=None, schema=None, metadata=None, nthreads=None) Create a pyarrow.Table from a Python data structure or sequence of arrays. Parameters ---------- data : dict, list, pandas.DataFrame, Arrow-compatible table A mapping of strings to Arrays or Python lists, a list of arrays or chunked arrays, a pandas DataFame, or any tabular object implementing the Arrow PyCapsule Protocol (has an ``__arrow_c_array__``, ``__arrow_c_device_array__`` or ``__arrow_c_stream__`` method). names : list, default None Column names if list of arrays passed as data. Mutually exclusive with 'schema' argument. schema : Schema, default None The expected schema of the Arrow Table. If not passed, will be inferred from the data. Mutually exclusive with 'names' argument. If passed, the output will have exactly this schema (raising an error when columns are not found in the data and ignoring additional data not specified in the schema, when data is a dict or DataFrame). metadata : dict or Mapping, default None Optional metadata for the schema (if schema not passed). nthreads : int, default None For pandas.DataFrame inputs: if greater than 1, convert columns to Arrow in parallel using indicated number of threads. By default, this follows :func:`pyarrow.cpu_count` (may use up to system CPU count threads). Returns ------- Table See Also -------- Table.from_arrays, Table.from_pandas, Table.from_pydict Examples -------- >>> import pyarrow as pa >>> n_legs = pa.array([2, 4, 5, 100]) >>> animals = pa.array(["Flamingo", "Horse", "Brittle stars", "Centipede"]) >>> names = ["n_legs", "animals"] Construct a Table from a python dictionary: >>> pa.table({"n_legs": n_legs, "animals": animals}) pyarrow.Table n_legs: int64 animals: string ---- n_legs: [[2,4,5,100]] animals: [["Flamingo","Horse","Brittle stars","Centipede"]] Construct a Table from arrays: >>> pa.table([n_legs, animals], names=names) pyarrow.Table n_legs: int64 animals: string ---- n_legs: [[2,4,5,100]] animals: [["Flamingo","Horse","Brittle stars","Centipede"]] Construct a Table from arrays with metadata: >>> my_metadata={"n_legs": "Number of legs per animal"} >>> pa.table([n_legs, animals], names=names, metadata = my_metadata).schema n_legs: int64 animals: string -- schema metadata -- n_legs: 'Number of legs per animal' Construct a Table from pandas DataFrame: >>> import pandas as pd >>> df = pd.DataFrame({'year': [2020, 2022, 2019, 2021], ... 'n_legs': [2, 4, 5, 100], ... 'animals': ["Flamingo", "Horse", "Brittle stars", "Centipede"]}) >>> pa.table(df) pyarrow.Table year: int64 n_legs: int64 animals: large_string ---- year: [[2020,2022,2019,2021]] n_legs: [[2,4,5,100]] animals: [["Flamingo","Horse","Brittle stars","Centipede"]] Construct a Table from pandas DataFrame with pyarrow schema: >>> my_schema = pa.schema([ ... pa.field('n_legs', pa.int64()), ... pa.field('animals', pa.string())], ... metadata={"n_legs": "Number of legs per animal"}) >>> pa.table(df, my_schema).schema n_legs: int64 animals: string -- schema metadata -- n_legs: 'Number of legs per animal' pandas: '{"index_columns": [], "column_indexes": [{"name": null, ... Construct a Table from chunked arrays: >>> n_legs = pa.chunked_array([[2, 2, 4], [4, 5, 100]]) >>> animals = pa.chunked_array([["Flamingo", "Parrot", "Dog"], ["Horse", "Brittle stars", "Centipede"]]) >>> table = pa.table([n_legs, animals], names=names) >>> table pyarrow.Table n_legs: int64 animals: string ---- n_legs: [[2,2,4],[4,5,100]] animals: [["Flamingo","Parrot","Dog"],["Horse","Brittle stars","Centipede"]]NativeFile.read(self, nbytes=None) Read and return up to n bytes. If *nbytes* is None, then the entire remaining file contents are read. Parameters ---------- nbytes : int, default None Returns ------- data : bytesFixedShapeTensorArray.from_numpy_ndarray(obj, dim_names=None) Convert numpy tensors (ndarrays) to a fixed shape tensor extension array. The first dimension of ndarray will become the length of the fixed shape tensor array. If input array data is not contiguous a copy will be made. Parameters ---------- obj : numpy.ndarray dim_names : tuple or list of strings, default None Explicit names to tensor dimensions. Examples -------- >>> import pyarrow as pa >>> import numpy as np >>> arr = np.array( ... [[[1, 2, 3], [4, 5, 6]], [[1, 2, 3], [4, 5, 6]]], ... dtype=np.float32) >>> pa.FixedShapeTensorArray.from_numpy_ndarray(arr) [ [ 1, 2, 3, 4, 5, 6 ], [ 1, 2, 3, 4, 5, 6 ] ]StructScalar._as_py_tuple(self)StructScalar.items(self)_PandasAPIShim.is_index(self, obj)SparseCOOTensor.from_numpy(data, coords, shape, dim_names=None) Create arrow::SparseCOOTensor from numpy.ndarrays Parameters ---------- data : numpy.ndarray Data used to populate the rows. coords : numpy.ndarray Coordinates of the data. shape : tuple Shape of the tensor. dim_names : list, optional Names of the dimensions. Examples -------- >>> import pyarrow as pa >>> import numpy as np >>> data = np.array([1.0, 2.0, 3.0], dtype=np.float32) >>> coords = np.array([[0, 1], [1, 0], [1, 2]], dtype=np.int64) >>> sparse_coo = pa.SparseCOOTensor.from_numpy(data, coords, shape=(2, 3)) >>> sparse_coo type: float shape: (2, 3)set_timezone_db_path(path) Configure the path to text timezone database on Windows. .. deprecated:: 24.0.0 This function is deprecated and will be removed in a future version. PyArrow now uses the operating system's timezone database on Windows. Parameters ---------- path : str Path to text timezone database._PandasAPIShim.data_frame(self, *args, **kwargs)read_tensor(source) Read pyarrow.Tensor from pyarrow.NativeFile object from current position. If the file source supports zero copy (e.g. a memory map), then this operation does not allocate any memory. This function not assume that the stream is aligned Parameters ---------- source : pyarrow.NativeFile Returns ------- tensor : Tensor_pac()Table.join_asof(self, right_table, on, by, tolerance, right_on=None, right_by=None) Perform an asof join between this table and another one. This is similar to a left-join except that we match on nearest key rather than equal keys. Both tables must be sorted by the key. This type of join is most useful for time series data that are not perfectly aligned. Optionally match on equivalent keys with "by" before searching with "on". Result of the join will be a new Table, where further operations can be applied. Parameters ---------- right_table : Table The table to join to the current one, acting as the right table in the join operation. on : str The column from current table that should be used as the "on" key of the join operation left side. An inexact match is used on the "on" key, i.e. a row is considered a match if and only if ``right.on - left.on`` is in the range ``[min(0, tolerance), max(0, tolerance)]``. The input dataset must be sorted by the "on" key. Must be a single field of a common type. Currently, the "on" key must be an integer, date, or timestamp type. by : str or list[str] The columns from current table that should be used as the keys of the join operation left side. The join operation is then done only for the matches in these columns. tolerance : int The tolerance for inexact "on" key matching. A right row is considered a match with a left row if ``right.on - left.on`` is in the range ``[min(0, tolerance), max(0, tolerance)]``. ``tolerance`` may be: - negative, in which case a past-as-of-join occurs (match iff ``tolerance <= right.on - left.on <= 0``); - or positive, in which case a future-as-of-join occurs (match iff ``0 <= right.on - left.on <= tolerance``); - or zero, in which case an exact-as-of-join occurs (match iff ``right.on == left.on``). The tolerance is interpreted in the same units as the "on" key. right_on : str or list[str], default None The columns from the right_table that should be used as the on key on the join operation right side. When ``None`` use the same key name as the left table. right_by : str or list[str], default None The columns from the right_table that should be used as keys on the join operation right side. When ``None`` use the same key names as the left table. Returns ------- Table Examples -------- >>> import pyarrow as pa >>> t1 = pa.table({'id': [1, 3, 2, 3, 3], ... 'year': [2020, 2021, 2022, 2022, 2023]}) >>> t2 = pa.table({'id': [3, 4], ... 'year': [2020, 2021], ... 'n_legs': [5, 100], ... 'animal': ["Brittle stars", "Centipede"]}) >>> t1.join_asof(t2, on='year', by='id', tolerance=-2) pyarrow.Table id: int64 year: int64 n_legs: int64 animal: string ---- id: [[1,3,2,3,3]] year: [[2020,2021,2022,2022,2023]] n_legs: [[null,5,null,5,null]] animal: [[null,"Brittle stars",null,"Brittle stars",null]]Array._import_from_c(in_ptr, type) Import Array from a C ArrowArray struct, given its pointer and the imported array type. Parameters ---------- in_ptr: int The raw pointer to a C ArrowArray struct. type: DataType or int Either a DataType object, or the raw pointer to a C ArrowSchema struct. This is a low-level function intended for expert users.Array._import_from_c_device_capsule(schema_capsule, array_capsule)_ensure_cuda_loaded()ChunkedArray.cast(self, target_type=None, safe=None, options=None) Cast array values to another data type See :func:`pyarrow.compute.cast` for usage. Parameters ---------- target_type : DataType, None Type to cast array to. safe : boolean, default True Whether to check for conversion errors such as overflow. options : CastOptions, default None Additional checks pass by CastOptions Returns ------- cast : Array or ChunkedArray Examples -------- >>> import pyarrow as pa >>> n_legs = pa.chunked_array([[2, 2, 4], [4, 5, 100]]) >>> n_legs.type DataType(int64) Change the data type of an array: >>> n_legs_seconds = n_legs.cast(pa.duration('s')) >>> n_legs_seconds.type DurationType(duration[s])DataType._import_from_c_capsule(schema) Import a DataType from a ArrowSchema PyCapsule Parameters ---------- schema : PyCapsule A valid PyCapsule with name 'arrow_schema' containing an ArrowSchema pointer.Array.get_total_buffer_size(self) The sum of bytes in each buffer referenced by the array. An array may only reference a portion of a buffer. This method will overestimate in this case and return the byte size of the entire buffer. If a buffer is referenced multiple times then it will only be counted once.Tensor._make_shape_or_strides_buffer(self, values) Make a bytes object holding an array of `values` cast to `Py_ssize_t`.OpaqueType.__arrow_ext_scalar_class__(self)DataType.field(self, i) -> Field Parameters ---------- i : int Returns ------- pyarrow.FieldRunEndEncodedArray.from_buffers(DataType type, length, buffers, null_count=-1, offset=0, children=None) Construct a RunEndEncodedArray from all the parameters that make up an Array. RunEndEncodedArrays do not have buffers, only children arrays, but this implementation is needed to satisfy the Array interface. Parameters ---------- type : DataType The run_end_encoded(run_end_type, value_type) type. length : int The logical length of the run-end encoded array. Expected to match the last value of the run_ends array (children[0]) minus the offset. buffers : List[Buffer] Empty List or [None]. null_count : int, default -1 The number of null entries in the array. Run-end encoded arrays are specified to not have valid bits and null_count always equals 0. offset : int, default 0 The array's logical offset (in values, not in bytes) from the start of each buffer. children : List[Array] Nested type children containing the run_ends and values arrays. Returns ------- RunEndEncodedArray_CRecordBatchWriter.__setstate_cython__(self, __pyx_state)RunEndEncodedArray.from_arrays(run_ends, values, type=None) Construct RunEndEncodedArray from run_ends and values arrays. Parameters ---------- run_ends : Array (int16, int32, or int64 type) The run_ends array. values : Array (any type) The values array. type : pyarrow.DataType, optional The run_end_encoded(run_end_type, value_type) array type. Returns ------- RunEndEncodedArray_RecordBatchFileReader.__setstate_cython__(self, __pyx_state)large_list_view(value_type) -> LargeListViewType Create LargeListViewType instance from child data type or field. This data type may not be supported by all Arrow implementations because it is an alternative to the ListType. Parameters ---------- value_type : DataType or Field Returns ------- list_view_type : DataType Examples -------- Create an instance of LargeListViewType: >>> import pyarrow as pa >>> pa.large_list_view(pa.int8()) LargeListViewType(large_list_view)ChunkedArray.take(self, indices) Select values from the chunked array. See :func:`pyarrow.compute.take` for full usage. Parameters ---------- indices : Array or array-like The indices in the array whose values will be returned. Returns ------- taken : Array or ChunkedArray An array with the same datatype, containing the taken values. Examples -------- >>> import pyarrow as pa >>> n_legs = pa.chunked_array([[2, 2, 4], [4, 5, 100]]) >>> n_legs [ [ 2, 2, 4 ], [ 4, 5, 100 ] ] >>> n_legs.take([1,4,5]) [ [ 2, 5, 100 ] ]binary(int length=-1) Create variable-length or fixed size binary type. Parameters ---------- length : int, optional, default -1 If length == -1 then return a variable length binary type. If length is greater than or equal to 0 then return a fixed size binary type of width `length`. Examples -------- Create an instance of a variable-length binary type: >>> import pyarrow as pa >>> pa.binary() DataType(binary) and use the variable-length binary type to create an array: >>> pa.array(['foo', 'bar', 'baz'], type=pa.binary()) [ 666F6F, 626172, 62617A ] Create an instance of a fixed-size binary type: >>> pa.binary(3) FixedSizeBinaryType(fixed_size_binary[3]) and use the fixed-length binary type to create an array: >>> pa.array(['foo', 'bar', 'baz'], type=pa.binary(3)) [ 666F6F, 626172, 62617A ]MemoryManager.__setstate_cython__(self, __pyx_state)Field.remove_metadata(self) Create new field without metadata, if any Returns ------- field : pyarrow.Field Examples -------- >>> import pyarrow as pa >>> field = pa.field('key', pa.int32(), ... metadata={"key": "Something important"}) >>> field.metadata {b'key': b'Something important'} Create new field by removing the metadata from the existing one: >>> field_new = field.remove_metadata() >>> field_new.metadataDictionaryArray.dictionary_encode(self)Bool8Type.__arrow_ext_scalar_class__(self)Scalar.validate(self, *, full=False) Perform validation checks. An exception is raised if validation fails. By default only cheap validation checks are run. Pass `full=True` for thorough validation checks (potentially O(n)). Parameters ---------- full : bool, default False If True, run expensive checks, otherwise cheap checks only. Raises ------ ArrowInvalidSchema.append(self, Field field) Append a field at the end of the schema. In contrast to Python's ``list.append()`` it does return a new object, leaving the original Schema unmodified. Parameters ---------- field : Field Returns ------- schema: Schema New object with appended field. Examples -------- >>> import pyarrow as pa >>> schema = pa.schema([ ... pa.field('n_legs', pa.int64()), ... pa.field('animals', pa.string())]) Append a field 'extra' at the end of the schema: >>> schema_new = schema.append(pa.field('extra', pa.bool_())) >>> schema_new n_legs: int64 animals: string extra: bool Original schema is unmodified: >>> schema n_legs: int64 animals: stringStructScalar.as_py(self, *, maps_as_pydicts=None) Return this value as a Python dict. Parameters ---------- maps_as_pydicts : str, optional, default `None` Valid values are `None`, 'lossy', or 'strict'. The default behavior (`None`), is to convert Arrow Map arrays to Python association lists (list-of-tuples) in the same order as the Arrow Map, as in [(key1, value1), (key2, value2), ...]. If 'lossy' or 'strict', convert Arrow Map arrays to native Python dicts. If 'lossy', whenever duplicate keys are detected, a warning will be printed. The last seen value of a duplicate key will be in the Python dictionary. If 'strict', this instead results in an exception being raised when detected.OSFile.fileno(self)RecordBatchReader.__setstate_cython__(self, __pyx_state)create_memory_map(path, size) Create a file of the given size and memory-map it. Parameters ---------- path : str The file path to create, on the local filesystem. size : int The file size to create. Returns ------- mmap : MemoryMappedFile Examples -------- Create a file with a memory map: >>> import pyarrow as pa >>> with pa.create_memory_map('example_mmap_create.dat', 27) as mmap: ... mmap.write(b'Create a memory-mapped file') ... mmap.read_at(10, 9) ... 27 b'memory-map'Array._debug_print(self)SparseCSRMatrix.__setstate_cython__(self, __pyx_state)Schema.__reduce__(self)log_memory_allocations(enable=True) Enable or disable memory allocator logging for debugging purposes Parameters ---------- enable : bool, default True Pass False to disable loggingBuffer._assert_cpu(self)RecordBatch._import_from_c_capsule(schema_capsule, array_capsule) Import RecordBatch from a pair of PyCapsules containing a C ArrowSchema and ArrowArray, respectively. Parameters ---------- schema_capsule : PyCapsule A PyCapsule containing a C ArrowSchema representation of the schema. array_capsule : PyCapsule A PyCapsule containing a C ArrowArray representation of the array. Returns ------- pyarrow.RecordBatchdate32() Create instance of 32-bit date (days since UNIX epoch 1970-01-01). Examples -------- Create an instance of 32-bit date type: >>> import pyarrow as pa >>> pa.date32() DataType(date32[day]) Create a scalar with 32-bit date type: >>> from datetime import date >>> pa.scalar(date(2012, 1, 1), type=pa.date32()) CompressedOutputStream.__reduce_cython__(self)Int16Scalar.as_py(self, *, maps_as_pydicts=None) Return this value as a Python int. Parameters ---------- maps_as_pydicts : str, optional, default `None` Valid values are `None`, 'lossy', or 'strict'. This parameter is ignored for non-nested Scalars.JsonType.__arrow_ext_class__(self)SparseCSCMatrix.from_scipy(obj, dim_names=None) Convert scipy.sparse.csc_array or scipy.sparse.csc_matrix to arrow::SparseCSCMatrix Parameters ---------- obj : scipy.sparse.csc_array or scipy.sparse.csc_matrix The scipy matrix that should be converted. dim_names : list, optional Names of the dimensions.Codec.minimum_compression_level(str compression) Returns the smallest valid value for the compression level Parameters ---------- compression : str Type of compression codec, refer to Codec docstring for a list of supported ones.BufferedInputStream.detach(self) Release the raw InputStream. Further operations on this stream are invalid. Returns ------- raw : NativeFile The underlying raw input streamrecord_batch(data, names=None, schema=None, metadata=None) Create a pyarrow.RecordBatch from another Python data structure or sequence of arrays. Parameters ---------- data : dict, list, pandas.DataFrame, Arrow-compatible table A mapping of strings to Arrays or Python lists, a list of Arrays, a pandas DataFame, or any tabular object implementing the Arrow PyCapsule Protocol (has an ``__arrow_c_array__`` or ``__arrow_c_device_array__`` method). names : list, default None Column names if list of arrays passed as data. Mutually exclusive with 'schema' argument. schema : Schema, default None The expected schema of the RecordBatch. If not passed, will be inferred from the data. Mutually exclusive with 'names' argument. metadata : dict or Mapping, default None Optional metadata for the schema (if schema not passed). Returns ------- RecordBatch See Also -------- RecordBatch.from_arrays, RecordBatch.from_pandas, table Examples -------- >>> import pyarrow as pa >>> n_legs = pa.array([2, 2, 4, 4, 5, 100]) >>> animals = pa.array(["Flamingo", "Parrot", "Dog", "Horse", "Brittle stars", "Centipede"]) >>> names = ["n_legs", "animals"] Construct a RecordBatch from a python dictionary: >>> pa.record_batch({"n_legs": n_legs, "animals": animals}) pyarrow.RecordBatch n_legs: int64 animals: string ---- n_legs: [2,2,4,4,5,100] animals: ["Flamingo","Parrot","Dog","Horse","Brittle stars","Centipede"] >>> pa.record_batch({"n_legs": n_legs, "animals": animals}).to_pandas() n_legs animals 0 2 Flamingo 1 2 Parrot 2 4 Dog 3 4 Horse 4 5 Brittle stars 5 100 Centipede Creating a RecordBatch from a list of arrays with names: >>> pa.record_batch([n_legs, animals], names=names) pyarrow.RecordBatch n_legs: int64 animals: string ---- n_legs: [2,2,4,4,5,100] animals: ["Flamingo","Parrot","Dog","Horse","Brittle stars","Centipede"] Creating a RecordBatch from a list of arrays with names and metadata: >>> my_metadata={"n_legs": "How many legs does an animal have?"} >>> pa.record_batch([n_legs, animals], ... names=names, ... metadata = my_metadata) pyarrow.RecordBatch n_legs: int64 animals: string ---- n_legs: [2,2,4,4,5,100] animals: ["Flamingo","Parrot","Dog","Horse","Brittle stars","Centipede"] >>> pa.record_batch([n_legs, animals], ... names=names, ... metadata = my_metadata).schema n_legs: int64 animals: string -- schema metadata -- n_legs: 'How many legs does an animal have?' Creating a RecordBatch from a pandas DataFrame: >>> import pandas as pd >>> df = pd.DataFrame({'year': [2020, 2022, 2021, 2022], ... 'month': [3, 5, 7, 9], ... 'day': [1, 5, 9, 13], ... 'n_legs': [2, 4, 5, 100], ... 'animals': ["Flamingo", "Horse", "Brittle stars", "Centipede"]}) >>> pa.record_batch(df) pyarrow.RecordBatch year: int64 month: int64 day: int64 n_legs: int64 animals: large_string ---- year: [2020,2022,2021,2022] month: [3,5,7,9] day: [1,5,9,13] n_legs: [2,4,5,100] animals: ["Flamingo","Horse","Brittle stars","Centipede"] >>> pa.record_batch(df).to_pandas() year month day n_legs animals 0 2020 3 1 2 Flamingo 1 2022 5 5 4 Horse 2 2021 7 9 5 Brittle stars 3 2022 9 13 100 Centipede Creating a RecordBatch from a pandas DataFrame with schema: >>> my_schema = pa.schema([ ... pa.field('n_legs', pa.int64()), ... pa.field('animals', pa.string())], ... metadata={"n_legs": "Number of legs per animal"}) >>> pa.record_batch(df, my_schema).schema n_legs: int64 animals: string -- schema metadata -- n_legs: 'Number of legs per animal' pandas: ... >>> pa.record_batch(df, my_schema).to_pandas() n_legs animals 0 2 Flamingo 1 4 Horse 2 5 Brittle stars 3 100 CentipedeUuidType.__arrow_ext_class__(self)ChunkedArray.dictionary_encode(self, null_encoding='mask') Compute dictionary-encoded representation of array. See :func:`pyarrow.compute.dictionary_encode` for full usage. Parameters ---------- null_encoding : str, default "mask" How to handle null entries. Returns ------- encoded : ChunkedArray A dictionary-encoded version of this array. Examples -------- >>> import pyarrow as pa >>> animals = pa.chunked_array(( ... ["Flamingo", "Parrot", "Dog"], ... ["Horse", "Brittle stars", "Centipede"] ... )) >>> animals.dictionary_encode() [ ... -- dictionary: [ "Flamingo", "Parrot", "Dog", "Horse", "Brittle stars", "Centipede" ] -- indices: [ 0, 1, 2 ], ... -- dictionary: [ "Flamingo", "Parrot", "Dog", "Horse", "Brittle stars", "Centipede" ] -- indices: [ 3, 4, 5 ] ]Array.is_nan(self) Return BooleanArray indicating the NaN values. Returns ------- array : boolean Array((((غ((((((@(X(p((((л((((((8(P(h(((default_cpu_memory_manager() Return the default CPU MemoryManager instance. The returned singleton instance uses the default MemoryPool.NativeFile.flush(self) Flush the stream, if applicable. An error is raised if stream is not writable.Schema.insert(self, int i, Field field) Add a field at position i to the schema. Parameters ---------- i : int field : Field Returns ------- schema: Schema Examples -------- >>> import pyarrow as pa >>> schema = pa.schema([ ... pa.field('n_legs', pa.int64()), ... pa.field('animals', pa.string())]) Insert a new field on the second position: >>> schema.insert(1, pa.field('extra', pa.bool_())) n_legs: int64 extra: bool animals: string_RecordBatchFileReader.__enter__(self)Decimal256Scalar.as_py(self, *, maps_as_pydicts=None) Return this value as a Python Decimal. Parameters ---------- maps_as_pydicts : str, optional, default `None` Valid values are `None`, 'lossy', or 'strict'. This parameter is ignored for non-nested Scalars._CRecordBatchWriter.__enter__(self)_PandasAPIShim.is_extension_array_dtype(self, obj)SparseCSRMatrix.equals(self, SparseCSRMatrix other) Return true if sparse tensors contains exactly equal data. Parameters ---------- other : SparseCSRMatrix The other tensor to compare for equality.uint16() Create instance of unsigned uint16 type. Examples -------- Create an instance of unsigned int16 type: >>> import pyarrow as pa >>> pa.uint16() DataType(uint16) >>> print(pa.uint16()) uint16 Create an array with unsigned int16 type: >>> pa.array([0, 1, 2], type=pa.uint16()) [ 0, 1, 2 ]ChunkedArray.flatten(self, MemoryPool memory_pool=None) Flatten this ChunkedArray. If it has a struct type, the column is flattened into one array per struct field. Parameters ---------- memory_pool : MemoryPool, default None For memory allocations, if required, otherwise use default pool Returns ------- result : list of ChunkedArray Examples -------- >>> import pyarrow as pa >>> n_legs = pa.chunked_array([[2, 2, 4], [4, 5, 100]]) >>> c_arr = pa.chunked_array(n_legs.value_counts()) >>> c_arr [ -- is_valid: all not null -- child 0 type: int64 [ 2, 4, 5, 100 ] -- child 1 type: int64 [ 2, 2, 1, 1 ] ] >>> c_arr.flatten() [ [ [ 2, 4, 5, 100 ] ], [ [ 2, 2, 1, 1 ] ]] >>> c_arr.type StructType(struct) >>> n_legs.type DataType(int64)FixedSizeBufferWriter.set_memcopy_blocksize(self, int64_t blocksize) Parameters ---------- blocksize : int64system_memory_pool() Return a memory pool based on the C malloc heap.StringViewBuilder.__reduce_cython__(self)Codec.detect(path) Detect and instantiate compression codec based on file extension. Parameters ---------- path : str, path-like File-path to detect compression from. Raises ------ TypeError If the passed value is not path-like. ValueError If the compression can't be detected from the path. Returns ------- CodecFixedShapeTensorType.__arrow_ext_scalar_class__(self)StructType.get_field_index(self, name) Return index of the unique field with the given name. Parameters ---------- name : str The name of the field to look up. Returns ------- index : int The index of the field with the given name; -1 if the name isn't found or there are several fields with the given name. Examples -------- >>> import pyarrow as pa >>> struct_type = pa.struct({'x': pa.int32(), 'y': pa.string()}) Index of the field with a name 'y': >>> struct_type.get_field_index('y') 1 Index of the field that does not exist: >>> struct_type.get_field_index('z') -1MessageReader.read_next_message(self) Read next Message from the stream. Raises ------ StopIteration At end of streamint16() Create instance of signed int16 type. Examples -------- Create an instance of int16 type: >>> import pyarrow as pa >>> pa.int16() DataType(int16) >>> print(pa.int16()) int16 Create an array with int16 type: >>> pa.array([0, 1, 2], type=pa.int16()) [ 0, 1, 2 ]Table.set_column(self, int i, field_, column) Replace column in Table at position. Parameters ---------- i : int Index to place the column at. field_ : str or Field If a string is passed then the type is deduced from the column data. column : Array, list of Array, or values coercible to arrays Column data. Returns ------- Table New table with the passed column set. Examples -------- >>> import pyarrow as pa >>> table = pa.table({'n_legs': [2, 4, 5, 100], ... 'animals': ["Flamingo", "Horse", "Brittle stars", "Centipede"]}) Replace a column: >>> year = [2021, 2022, 2019, 2021] >>> table.set_column(1,'year', [year]) pyarrow.Table n_legs: int64 year: int64 ---- n_legs: [[2,4,5,100]] year: [[2021,2022,2019,2021]]ListViewType.__reduce__(self)StructType.field(self, i) -> Field Select a field by its column name or numeric index. Parameters ---------- i : int or str Returns ------- pyarrow.Field Examples -------- >>> import pyarrow as pa >>> struct_type = pa.struct({'x': pa.int32(), 'y': pa.string()}) Select the second field: >>> struct_type.field(1) pyarrow.Field Select the field named 'x': >>> struct_type.field('x') pyarrow.FieldCompressedInputStream.__reduce_cython__(self)ChunkedArray.drop_null(self) Remove missing values from a chunked array. See :func:`pyarrow.compute.drop_null` for full description. Examples -------- >>> import pyarrow as pa >>> n_legs = pa.chunked_array([[2, 2, None], [4, 5, 100]]) >>> n_legs [ [ 2, 2, null ], [ 4, 5, 100 ] ] >>> n_legs.drop_null() [ [ 2, 2 ], [ 4, 5, 100 ] ]_RecordBatchFileReader.__reduce_cython__(self)Schema.__arrow_c_schema__(self) Export to a ArrowSchema PyCapsule Unlike _export_to_c, this will not leak memory if the capsule is not used.Array.__reduce__(self)SparseCOOTensor.from_tensor(obj) Convert arrow::Tensor to arrow::SparseCOOTensor. Parameters ---------- obj : Tensor The tensor that should be converted._empty_array(DataType type) Create empty array of the given type.DictionaryArray.dictionary_decode(self) Decodes the DictionaryArray to an Array.Array.sort(self, order='ascending', **kwargs) Sort the Array Parameters ---------- order : str, default "ascending" Which order to sort values in. Accepted values are "ascending", "descending". **kwargs : dict, optional Additional sorting options. As allowed by :class:`SortOptions` Returns ------- result : Array_build_info() Get PyArrow build information. Returns ------- info : pyarrow.BuildInfo_PandasAPIShim.infer_dtype(self, obj)RecordBatch._to_pandas(self, options, **kwargs)SparseCSCMatrix.__setstate_cython__(self, __pyx_state)NativeFile.readinto(self, b) Read into the supplied buffer Parameters ---------- b : buffer-like object A writable buffer object (such as a bytearray). Returns ------- written : int number of bytes writtenis_integer_value(obj) Check if the object is an integer. Parameters ---------- obj : object The object to checkArray._import_from_c_device(in_ptr, type) Import Array from a C ArrowDeviceArray struct, given its pointer and the imported array type. Parameters ---------- in_ptr: int The raw pointer to a C ArrowDeviceArray struct. type: DataType or int Either a DataType object, or the raw pointer to a C ArrowSchema struct. This is a low-level function intended for expert users.tobytes(o) Encode a unicode or bytes string to bytes. Parameters ---------- o : str or bytes Input string.Time64Scalar.as_py(self, *, maps_as_pydicts=None) Return this value as a Python datetime.timedelta instance. Parameters ---------- maps_as_pydicts : str, optional, default `None` Valid values are `None`, 'lossy', or 'strict'. This parameter is ignored for non-nested Scalars.string() Create UTF8 variable-length string type. Examples -------- Create an instance of a string type: >>> import pyarrow as pa >>> pa.string() DataType(string) and use the string type to create an array: >>> pa.array(['foo', 'bar', 'baz'], type=pa.string()) [ "foo", "bar", "baz" ]RecordBatchReader.__arrow_c_stream__(self, requested_schema=None) Export to a C ArrowArrayStream PyCapsule. Parameters ---------- requested_schema : PyCapsule, default None The schema to which the stream should be casted, passed as a PyCapsule containing a C ArrowSchema representation of the requested schema. Returns ------- PyCapsule A capsule containing a C ArrowArrayStream struct.MapScalar.__getitem__(self, i) Return the value at the given index or key.MemoryMappedFile.__reduce_cython__(self)_ReadPandasMixin.read_pandas(self, **options) Read contents of stream to a pandas.DataFrame. Read all record batches as a pyarrow.Table then convert it to a pandas.DataFrame using Table.to_pandas. Parameters ---------- **options Arguments to forward to :meth:`Table.to_pandas`. Returns ------- df : pandas.DataFrame_Tabular.from_pydict(cls, mapping, schema=None, metadata=None) Construct a Table or RecordBatch from Arrow arrays or columns. Parameters ---------- mapping : dict or Mapping A mapping of strings to Arrays or Python lists. schema : Schema, default None If not passed, will be inferred from the Mapping values. metadata : dict or Mapping, default None Optional metadata for the schema (if inferred). Returns ------- Table or RecordBatch Examples -------- Table (works similarly for RecordBatch) >>> import pyarrow as pa >>> n_legs = pa.array([2, 4, 5, 100]) >>> animals = pa.array(["Flamingo", "Horse", "Brittle stars", "Centipede"]) >>> pydict = {'n_legs': n_legs, 'animals': animals} Construct a Table from a dictionary of arrays: >>> pa.Table.from_pydict(pydict) pyarrow.Table n_legs: int64 animals: string ---- n_legs: [[2,4,5,100]] animals: [["Flamingo","Horse","Brittle stars","Centipede"]] >>> pa.Table.from_pydict(pydict).schema n_legs: int64 animals: string Construct a Table from a dictionary of arrays with metadata: >>> my_metadata={"n_legs": "Number of legs per animal"} >>> pa.Table.from_pydict(pydict, metadata=my_metadata).schema n_legs: int64 animals: string -- schema metadata -- n_legs: 'Number of legs per animal' Construct a Table from a dictionary of arrays with pyarrow schema: >>> my_schema = pa.schema([ ... pa.field('n_legs', pa.int64()), ... pa.field('animals', pa.string())], ... metadata={"n_legs": "Number of legs per animal"}) >>> pa.Table.from_pydict(pydict, schema=my_schema).schema n_legs: int64 animals: string -- schema metadata -- n_legs: 'Number of legs per animal'ExtensionScalar.as_py(self, *, maps_as_pydicts=None) Return this scalar as a Python object. Parameters ---------- maps_as_pydicts : str, optional, default `None` Valid values are `None`, 'lossy', or 'strict'. The default behavior (`None`), is to convert Arrow Map arrays to Python association lists (list-of-tuples) in the same order as the Arrow Map, as in [(key1, value1), (key2, value2), ...]. If 'lossy' or 'strict', convert Arrow Map arrays to native Python dicts. If 'lossy', whenever duplicate keys are detected, a warning will be printed. The last seen value of a duplicate key will be in the Python dictionary. If 'strict', this instead results in an exception being raised when detected. 1RecordBatchReader.__reduce_cython__(self)Transcoder.__init__(self, decoder, encoder)RecordBatch.from_pandas(cls, df, Schema schema=None, preserve_index=None, nthreads=None, columns=None) Convert pandas.DataFrame to an Arrow RecordBatch Parameters ---------- df : pandas.DataFrame schema : pyarrow.Schema, optional The expected schema of the RecordBatch. This can be used to indicate the type of columns if we cannot infer it automatically. If passed, the output will have exactly this schema. Columns specified in the schema that are not found in the DataFrame columns or its index will raise an error. Additional columns or index levels in the DataFrame which are not specified in the schema will be ignored. preserve_index : bool, optional Whether to store the index as an additional column in the resulting ``RecordBatch``. The default of None will store the index as a column, except for RangeIndex which is stored as metadata only. Use ``preserve_index=True`` to force it to be stored as a column. nthreads : int, default None If greater than 1, convert columns to Arrow in parallel using indicated number of threads. By default, this follows :func:`pyarrow.cpu_count` (may use up to system CPU count threads). columns : list, optional List of column to be converted. If None, use all columns. Returns ------- pyarrow.RecordBatch Examples -------- >>> import pandas as pd >>> df = pd.DataFrame({'year': [2020, 2022, 2021, 2022], ... 'month': [3, 5, 7, 9], ... 'day': [1, 5, 9, 13], ... 'n_legs': [2, 4, 5, 100], ... 'animals': ["Flamingo", "Horse", "Brittle stars", "Centipede"]}) Convert pandas DataFrame to RecordBatch: >>> import pyarrow as pa >>> pa.RecordBatch.from_pandas(df) pyarrow.RecordBatch year: int64 month: int64 day: int64 n_legs: int64 animals: large_string ---- year: [2020,2022,2021,2022] month: [3,5,7,9] day: [1,5,9,13] n_legs: [2,4,5,100] animals: ["Flamingo","Horse","Brittle stars","Centipede"] Convert pandas DataFrame to RecordBatch using schema: >>> my_schema = pa.schema([ ... pa.field('n_legs', pa.int64()), ... pa.field('animals', pa.string())], ... metadata={"n_legs": "Number of legs per animal"}) >>> pa.RecordBatch.from_pandas(df, schema=my_schema) pyarrow.RecordBatch n_legs: int64 animals: string ---- n_legs: [2,4,5,100] animals: ["Flamingo","Horse","Brittle stars","Centipede"] Convert pandas DataFrame to RecordBatch specifying columns: >>> pa.RecordBatch.from_pandas(df, columns=["n_legs"]) pyarrow.RecordBatch n_legs: int64 ---- n_legs: [2,4,5,100]Schema.remove_metadata(self) Create new schema without metadata, if any Returns ------- schema : pyarrow.Schema Examples -------- >>> import pyarrow as pa >>> schema = pa.schema([ ... pa.field('n_legs', pa.int64()), ... pa.field('animals', pa.string())], ... metadata={"n_legs": "Number of legs per animal"}) >>> schema n_legs: int64 animals: string -- schema metadata -- n_legs: 'Number of legs per animal' Create a new schema with removing the metadata from the original: >>> schema.remove_metadata() n_legs: int64 animals: stringBuffer.hex(self) Compute hexadecimal representation of the buffer. Returns ------- : bytesasarray(values, type=None) Convert to pyarrow.Array, inferring type if not provided. Parameters ---------- values : array-like This can be a sequence, numpy.ndarray, pyarrow.Array or pyarrow.ChunkedArray. If a ChunkedArray is passed, the output will be a ChunkedArray, otherwise the output will be a Array. type : string or DataType Explicitly construct the array with this type. Attempt to cast if indicated type is different. Returns ------- arr : Array or ChunkedArrayMemoryPool.release_unused(self) Attempt to return to the OS any memory being held onto by the pool. This function should not be called except potentially for benchmarking or debugging as it could be expensive and detrimental to performance. This is best effort and may not have any effect on some memory pools or in some situations (e.g. fragmentation).Decimal32Scalar.as_py(self, *, maps_as_pydicts=None) Return this value as a Python Decimal. Parameters ---------- maps_as_pydicts : str, optional, default `None` Valid values are `None`, 'lossy', or 'strict'. This parameter is ignored for non-nested Scalars.SignalStopHandler.__exit__(self, exc_type, exc_value, exc_tb)Array.to_string(self, *, int indent=2, int top_level_indent=0, int window=10, int container_window=2, bool skip_new_lines=False, int element_size_limit=100) Render a "pretty-printed" string representation of the Array. Note: for data on a non-CPU device, the full array is copied to CPU memory. Parameters ---------- indent : int, default 2 How much to indent the internal items in the string to the right, by default ``2``. top_level_indent : int, default 0 How much to indent right the entire content of the array, by default ``0``. window : int How many primitive items to preview at the begin and end of the array when the array is bigger than the window. The other items will be ellipsed. container_window : int How many container items (such as a list in a list array) to preview at the begin and end of the array when the array is bigger than the window. skip_new_lines : bool If the array should be rendered as a single line of text or if each element should be on its own line. element_size_limit : int, default 100 Maximum number of characters of a single element before it is truncated.RecordBatch.to_struct_array(self) Convert to a struct array.__pyx_unpickle__PandasAPIShim(__pyx_type, long __pyx_checksum, tuple __pyx_state)ListArray.from_arrays(offsets, values, DataType type=None, MemoryPool pool=None, mask=None) Construct ListArray from arrays of int32 offsets and values. Parameters ---------- offsets : Array (int32 type) values : Array (any type) type : DataType, optional If not specified, a default ListType with the values' type is used. pool : MemoryPool, optional mask : Array (boolean type), optional Indicate which values are null (True) or not null (False). Returns ------- list_array : ListArray Examples -------- >>> import pyarrow as pa >>> values = pa.array([1, 2, 3, 4]) >>> offsets = pa.array([0, 2, 4]) >>> pa.ListArray.from_arrays(offsets, values) [ [ 1, 2 ], [ 3, 4 ] ] >>> # nulls in the offsets array become null lists >>> offsets = pa.array([0, None, 2, 4]) >>> pa.ListArray.from_arrays(offsets, values) [ [ 1, 2 ], null, [ 3, 4 ] ]Schema.empty_table(self) Provide an empty table according to the schema. Returns ------- table: pyarrow.Table Examples -------- >>> import pyarrow as pa >>> schema = pa.schema([ ... pa.field('n_legs', pa.int64()), ... pa.field('animals', pa.string())]) Create an empty table with schema's fields: >>> schema.empty_table() pyarrow.Table n_legs: int64 animals: string ---- n_legs: [[]] animals: [[]]arrow_array_streamused_dltensorPythonFile.__setstate_cython__(self, __pyx_state)MemoryMappedFile.fileno(self)ChunkedArray.equals(self, ChunkedArray other) Return whether the contents of two chunked arrays are equal. Parameters ---------- other : pyarrow.ChunkedArray Chunked array to compare against. Returns ------- are_equal : bool Examples -------- >>> import pyarrow as pa >>> n_legs = pa.chunked_array([[2, 2, 4], [4, 5, 100]]) >>> animals = pa.chunked_array(( ... ["Flamingo", "Parrot", "Dog"], ... ["Horse", "Brittle stars", "Centipede"] ... )) >>> n_legs.equals(n_legs) True >>> n_legs.equals(animals) False_PandasAPIShim.get_rangeindex_attribute(self, level, name)StructArray.flatten(self, MemoryPool memory_pool=None) Return one individual array for each field in the struct. Parameters ---------- memory_pool : MemoryPool, default None For memory allocations, if required, otherwise use default pool. Returns ------- result : List[Array]Array.__arrow_c_device_array__(self, requested_schema=None, **kwargs) Get a pair of PyCapsules containing a C ArrowDeviceArray representation of the object. Parameters ---------- requested_schema : PyCapsule | None A PyCapsule containing a C ArrowSchema representation of a requested schema. PyArrow will attempt to cast the array to this data type. If None, the array will be returned as-is, with a type matching the one returned by :meth:`__arrow_c_schema__()`. kwargs Currently no additional keyword arguments are supported, but this method will accept any keyword with a value of ``None`` for compatibility with future keywords. Returns ------- Tuple[PyCapsule, PyCapsule] A pair of PyCapsules containing a C ArrowSchema and ArrowDeviceArray, respectively.ExtensionType.__arrow_ext_class__(self) Return an extension array class to be used for building or deserializing arrays with this extension type. This method should return a subclass of the ExtensionArray class. By default, if not specialized in the extension implementation, an extension type array will be a built-in ExtensionArray instance.Schema.remove(self, int i) Remove the field at index i from the schema. Parameters ---------- i : int Returns ------- schema: Schema Examples -------- >>> import pyarrow as pa >>> schema = pa.schema([ ... pa.field('n_legs', pa.int64()), ... pa.field('animals', pa.string())]) Remove the second field of the schema: >>> schema.remove(1) n_legs: int64_PandasConvertible.__reduce_cython__(self)RecordBatch.__arrow_c_device_array__(self, requested_schema=None, **kwargs) Get a pair of PyCapsules containing a C ArrowDeviceArray representation of the object. Parameters ---------- requested_schema : PyCapsule | None A PyCapsule containing a C ArrowSchema representation of a requested schema. PyArrow will attempt to cast the batch to this data type. If None, the batch will be returned as-is, with a type matching the one returned by :meth:`__arrow_c_schema__()`. kwargs Currently no additional keyword arguments are supported, but this method will accept any keyword with a value of ``None`` for compatibility with future keywords. Returns ------- Tuple[PyCapsule, PyCapsule] A pair of PyCapsules containing a C ArrowSchema and ArrowDeviceArray, respectively.SparseCSCMatrix.from_tensor(obj) Convert arrow::Tensor to arrow::SparseCSCMatrix Parameters ---------- obj : Tensor The dense tensor that should be converted.total_allocated_bytes() Return the currently allocated bytes from the default memory pool. Other memory pools may not be accounted for.MockOutputStream.size(self)read_record_batch(obj, Schema schema, DictionaryMemo dictionary_memo=None) Read RecordBatch from message, given a known schema. If reading data from a complete IPC stream, use ipc.open_stream instead Parameters ---------- obj : Message or Buffer-like schema : Schema dictionary_memo : DictionaryMemo, optional If message contains dictionaries, must pass a populated DictionaryMemo Returns ------- batch : RecordBatchSparseCSRMatrix.dim_name(self, i) Returns the name of the i-th tensor dimension. Parameters ---------- i : int The physical index of the tensor dimension. Returns ------- str_reconstruct_record_batch(columns, schema) Internal: reconstruct RecordBatch from pickled components.ArrowKeyError.__str__(self)UnionArray.from_sparse(Array types, list children, list field_names=None, list type_codes=None) Construct sparse UnionArray from arrays of int8 types and children arrays Parameters ---------- types : Array (int8 type) children : list field_names : list type_codes : list Returns ------- union_array : UnionArrayget_tensor_size(Tensor tensor) Return total size of serialized Tensor including metadata and padding. Parameters ---------- tensor : Tensor The tensor for which we want to known the size.Schema._import_from_c(in_ptr) Import Schema from a C ArrowSchema struct, given its pointer. This is a low-level function intended for expert users.ChunkedArray.__array__(self, dtype=None, copy=None)RecordBatch._import_from_c_device(in_ptr, schema) Import RecordBatch from a C ArrowDeviceArray struct, given its pointer and the imported schema. Parameters ---------- in_ptr: int The raw pointer to a C ArrowDeviceArray struct. type: Schema or int Either a Schema object, or the raw pointer to a C ArrowSchema struct. This is a low-level function intended for expert users.SparseCSRMatrix.from_tensor(obj) Convert arrow::Tensor to arrow::SparseCSRMatrix. Parameters ---------- obj : Tensor The dense tensor that should be converted.TableGroupBy.aggregate(self, aggregations) Perform an aggregation over the grouped columns of the table. Parameters ---------- aggregations : list[tuple(str, str)] or list[tuple(str, str, FunctionOptions)] List of tuples, where each tuple is one aggregation specification and consists of: aggregation column name followed by function name and optionally aggregation function option. Pass empty list to get a single row for each group. The column name can be a string, an empty list or a list of column names, for unary, nullary and n-ary aggregation functions respectively. For the list of function names and respective aggregation function options see :ref:`py-grouped-aggrs`. Returns ------- Table Results of the aggregation functions. Examples -------- >>> import pyarrow as pa >>> t = pa.table([ ... pa.array(["a", "a", "b", "b", "c"]), ... pa.array([1, 2, 3, 4, 5]), ... ], names=["keys", "values"]) Sum the column "values" over the grouped column "keys": >>> t.group_by("keys").aggregate([("values", "sum")]) pyarrow.Table keys: string values_sum: int64 ---- keys: [["a","b","c"]] values_sum: [[3,7,5]] Count the rows over the grouped column "keys": >>> t.group_by("keys").aggregate([([], "count_all")]) pyarrow.Table keys: string count_all: int64 ---- keys: [["a","b","c"]] count_all: [[2,2,1]] Do multiple aggregations: >>> t.group_by("keys").aggregate([ ... ("values", "sum"), ... ("keys", "count") ... ]) pyarrow.Table keys: string values_sum: int64 keys_count: int64 ---- keys: [["a","b","c"]] values_sum: [[3,7,5]] keys_count: [[2,2,1]] Count the number of non-null values for column "values" over the grouped column "keys": >>> import pyarrow.compute as pc >>> t.group_by(["keys"]).aggregate([ ... ("values", "count", pc.CountOptions(mode="only_valid")) ... ]) pyarrow.Table keys: string values_count: int64 ---- keys: [["a","b","c"]] values_count: [[2,2,1]] Get a single row for each group in column "keys": >>> t.group_by("keys").aggregate([]) pyarrow.Table keys: string ---- keys: [["a","b","c"]]from_numpy_dtype(dtype) Convert NumPy dtype to pyarrow.DataType. Parameters ---------- dtype : the numpy dtype to convert Examples -------- Create a pyarrow DataType from NumPy dtype: >>> import pyarrow as pa >>> import numpy as np >>> pa.from_numpy_dtype(np.dtype('float16')) DataType(halffloat) >>> pa.from_numpy_dtype('U') DataType(string) >>> pa.from_numpy_dtype(bool) DataType(bool) >>> pa.from_numpy_dtype(np.str_) DataType(string)SparseCSFTensor.dim_name(self, i) Returns the name of the i-th tensor dimension. Parameters ---------- i : int The physical index of the tensor dimension. Returns ------- strBuffer.slice(self, offset=0, length=None) Slice this buffer. Memory is not copied. You can also use the Python slice notation ``buffer[start:stop]``. Parameters ---------- offset : int, default 0 Offset from start of buffer to slice. length : int, default None Length of slice (default is until end of Buffer starting from offset). Returns ------- sliced : Buffer A logical view over this buffer.map_(key_type, item_type, keys_sorted=False) -> MapType Create MapType instance from key and item data types or fields. Parameters ---------- key_type : DataType or Field item_type : DataType or Field keys_sorted : bool Returns ------- map_type : DataType Examples -------- Create an instance of MapType: >>> import pyarrow as pa >>> pa.map_(pa.string(), pa.int32()) MapType(map) >>> pa.map_(pa.string(), pa.int32(), keys_sorted=True) MapType(map) Use MapType to create an array: >>> data = [[{'key': 'a', 'value': 1}, {'key': 'b', 'value': 2}], [{'key': 'c', 'value': 3}]] >>> pa.array(data, type=pa.map_(pa.string(), pa.int32(), keys_sorted=True)) [ keys: [ "a", "b" ] values: [ 1, 2 ], keys: [ "c" ] values: [ 3 ] ]memory_map(path, mode='r') Open memory map at file path. Size of the memory map cannot change. Parameters ---------- path : str mode : {'r', 'r+', 'w'}, default 'r' Whether the file is opened for reading ('r'), writing ('w') or both ('r+'). Returns ------- mmap : MemoryMappedFile Examples -------- Reading from a memory map without any memory allocation or copying: >>> import pyarrow as pa >>> with pa.output_stream('example_mmap.txt') as stream: ... stream.write(b'Constructing a buffer referencing the mapped memory') ... 51 >>> with pa.memory_map('example_mmap.txt') as mmap: ... mmap.read_at(6,45) ... b'memory'Array.sum(self, **kwargs) Sum the values in a numerical array. See :func:`pyarrow.compute.sum` for full usage. Parameters ---------- **kwargs : dict, optional Options to pass to :func:`pyarrow.compute.sum`. Returns ------- sum : Scalar A scalar containing the sum value.MessageReader.__reduce_cython__(self)RecordBatchReader.read_all(self) Read all record batches as a pyarrow.Table. Returns ------- TableMemoryPool.total_bytes_allocated(self) Return the total number of bytes that have been allocated from this memory pool.CacheOptions._reconstruct(kwargs)RecordBatch._column(self, int i) Select single column from record batch by its numeric index. Parameters ---------- i : int The index of the column to retrieve. Returns ------- column : pyarrow.ArrayTable.from_struct_array(struct_array) Construct a Table from a StructArray. Each field in the StructArray will become a column in the resulting ``Table``. Parameters ---------- struct_array : StructArray or ChunkedArray Array to construct the table from. Returns ------- pyarrow.Table Examples -------- >>> import pyarrow as pa >>> struct = pa.array([{'n_legs': 2, 'animals': 'Parrot'}, ... {'year': 2022, 'n_legs': 4, 'animals': 'Goat'}]) >>> pa.Table.from_struct_array(struct).to_pandas() n_legs animals year 0 2 Parrot NaN 1 4 Goat 2022.0_PandasAPIShim.is_ge_v3(self)ChunkedArray.slice(self, offset=0, length=None) Compute zero-copy slice of this ChunkedArray Parameters ---------- offset : int, default 0 Offset from start of array to slice length : int, default None Length of slice (default is until end of batch starting from offset) Returns ------- sliced : ChunkedArray Examples -------- >>> import pyarrow as pa >>> n_legs = pa.chunked_array([[2, 2, 4], [4, 5, 100]]) >>> n_legs [ [ 2, 2, 4 ], [ 4, 5, 100 ] ] >>> n_legs.slice(2,2) [ [ 4 ], [ 4 ] ]FixedSizeListType.__reduce__(self)StructType.__reduce__(self)read_message(source) Read length-prefixed message from file or buffer-like object Parameters ---------- source : pyarrow.NativeFile, file-like object, or buffer-like object Returns ------- message : MessageMemoryMappedFile.create(path, size) Create a MemoryMappedFile Parameters ---------- path : str Where to create the file. size : int Size of the memory mapped file.RecordBatch.equals(self, other, bool check_metadata=False) Check if contents of two record batches are equal. Parameters ---------- other : pyarrow.RecordBatch RecordBatch to compare against. check_metadata : bool, default False Whether schema metadata equality should be checked as well. Returns ------- are_equal : bool Examples -------- >>> import pyarrow as pa >>> n_legs = pa.array([2, 2, 4, 4, 5, 100]) >>> animals = pa.array(["Flamingo", "Parrot", "Dog", "Horse", "Brittle stars", "Centipede"]) >>> batch = pa.RecordBatch.from_arrays([n_legs, animals], ... names=["n_legs", "animals"]) >>> batch_0 = pa.record_batch([]) >>> batch_1 = pa.RecordBatch.from_arrays([n_legs, animals], ... names=["n_legs", "animals"], ... metadata={"n_legs": "Number of legs per animal"}) >>> batch.equals(batch) True >>> batch.equals(batch_0) False >>> batch.equals(batch_1) True >>> batch.equals(batch_1, check_metadata=True) FalseRecordBatchReader.cast(self, target_schema) Wrap this reader with one that casts each batch lazily as it is pulled. Currently only a safe cast to target_schema is implemented. Parameters ---------- target_schema : Schema Schema to cast to, the names and order of fields must match. Returns ------- RecordBatchReaderStructType.get_all_field_indices(self, name) Return sorted list of indices for the fields with the given name. Parameters ---------- name : str The name of the field to look up. Returns ------- indices : List[int] Examples -------- >>> import pyarrow as pa >>> struct_type = pa.struct({'x': pa.int32(), 'y': pa.string()}) >>> struct_type.get_all_field_indices('x') [0]Schema.serialize(self, memory_pool=None) Write Schema to Buffer as encapsulated IPC message Parameters ---------- memory_pool : MemoryPool, default None Uses default memory pool if not specified Returns ------- serialized : Buffer Examples -------- >>> import pyarrow as pa >>> schema = pa.schema([ ... pa.field('n_legs', pa.int64()), ... pa.field('animals', pa.string())]) Write schema to Buffer: >>> schema.serialize() int32() Create instance of signed int32 type. Examples -------- Create an instance of int32 type: >>> import pyarrow as pa >>> pa.int32() DataType(int32) >>> print(pa.int32()) int32 Create an array with int32 type: >>> pa.array([0, 1, 2], type=pa.int32()) [ 0, 1, 2 ]ChunkedArray._to_pandas(self, options, types_mapper=None, **kwargs)SparseCOOTensor.to_numpy(self) Convert arrow::SparseCOOTensor to numpy.ndarrays with zero copy._Tabular.from_pylist(cls, mapping, schema=None, metadata=None) Construct a Table or RecordBatch from list of rows / dictionaries. Parameters ---------- mapping : list of dicts of rows A mapping of strings to row values. schema : Schema, default None If not passed, will be inferred from the first row of the mapping values. metadata : dict or Mapping, default None Optional metadata for the schema (if inferred). Returns ------- Table or RecordBatch Examples -------- Table (works similarly for RecordBatch) >>> import pyarrow as pa >>> pylist = [{'n_legs': 2, 'animals': 'Flamingo'}, ... {'n_legs': 4, 'animals': 'Dog'}] Construct a Table from a list of rows: >>> pa.Table.from_pylist(pylist) pyarrow.Table n_legs: int64 animals: string ---- n_legs: [[2,4]] animals: [["Flamingo","Dog"]] Construct a Table from a list of rows with metadata: >>> my_metadata={"n_legs": "Number of legs per animal"} >>> pa.Table.from_pylist(pylist, metadata=my_metadata).schema n_legs: int64 animals: string -- schema metadata -- n_legs: 'Number of legs per animal' Construct a Table from a list of rows with pyarrow schema: >>> my_schema = pa.schema([ ... pa.field('n_legs', pa.int64()), ... pa.field('animals', pa.string())], ... metadata={"n_legs": "Number of legs per animal"}) >>> pa.Table.from_pylist(pylist, schema=my_schema).schema n_legs: int64 animals: string -- schema metadata -- n_legs: 'Number of legs per animal'Int32Scalar.as_py(self, *, maps_as_pydicts=None) Return this value as a Python int. Parameters ---------- maps_as_pydicts : str, optional, default `None` Valid values are `None`, 'lossy', or 'strict'. This parameter is ignored for non-nested Scalars.transcoding_input_stream(stream, src_encoding, dest_encoding) Add a transcoding transformation to the stream. Incoming data will be decoded according to ``src_encoding`` and then re-encoded according to ``dest_encoding``. Parameters ---------- stream : NativeFile The stream to which the transformation should be applied. src_encoding : str The codec to use when reading data. dest_encoding : str The codec to use for emitted data.Table.unify_dictionaries(self, MemoryPool memory_pool=None) Unify dictionaries across all chunks. This method returns an equivalent table, but where all chunks of each column share the same dictionary values. Dictionary indices are transposed accordingly. Columns without dictionaries are returned unchanged. Parameters ---------- memory_pool : MemoryPool, default None For memory allocations, if required, otherwise use default pool Returns ------- Table Examples -------- >>> import pyarrow as pa >>> arr_1 = pa.array(["Flamingo", "Parrot", "Dog"]).dictionary_encode() >>> arr_2 = pa.array(["Horse", "Brittle stars", "Centipede"]).dictionary_encode() >>> c_arr = pa.chunked_array([arr_1, arr_2]) >>> table = pa.table([c_arr], names=["animals"]) >>> table pyarrow.Table animals: dictionary ---- animals: [ -- dictionary: ["Flamingo","Parrot","Dog"] -- indices: [0,1,2], -- dictionary: ["Horse","Brittle stars","Centipede"] -- indices: [0,1,2]] Unify dictionaries across both chunks: >>> table.unify_dictionaries() pyarrow.Table animals: dictionary ---- animals: [ -- dictionary: ["Flamingo","Parrot","Dog","Horse","Brittle stars","Centipede"] -- indices: [0,1,2], -- dictionary: ["Flamingo","Parrot","Dog","Horse","Brittle stars","Centipede"] -- indices: [3,4,5]]uint8() Create instance of unsigned int8 type. Examples -------- Create an instance of unsigned int8 type: >>> import pyarrow as pa >>> pa.uint8() DataType(uint8) >>> print(pa.uint8()) uint8 Create an array with unsigned int8 type: >>> pa.array([0, 1, 2], type=pa.uint8()) [ 0, 1, 2 ]Schema.to_string(self, truncate_metadata=True, show_field_metadata=True, show_schema_metadata=True, element_size_limit=100) Return human-readable representation of Schema Parameters ---------- truncate_metadata : boolean, default True Limit metadata key/value display to a single line of ~80 characters or less show_field_metadata : boolean, default True Display Field-level KeyValueMetadata show_schema_metadata : boolean, default True Display Schema-level KeyValueMetadata element_size_limit : int, default 100 Maximum number of characters of a single element before it is truncated. Returns ------- str : the formatted outputFixedShapeTensorScalar.to_tensor(self) Convert fixed shape tensor extension scalar to a pyarrow.Tensor, using shape and strides derived from corresponding FixedShapeTensorType. The conversion is zero-copy. Returns ------- pyarrow.Tensor Tensor represented stored in FixedShapeTensorScalar.UuidType.__arrow_ext_scalar_class__(self)NativeFile.seekable(self)type_for_alias(name) Return DataType given a string alias if one exists. Parameters ---------- name : str The alias of the DataType that should be retrieved. Returns ------- type : DataTypeCodec.maximum_compression_level(str compression) Returns the largest valid value for the compression level Parameters ---------- compression : str Type of compression codec, refer to Codec docstring for a list of supported ones._Tabular.take(self, indices) Select rows from a Table or RecordBatch. See :func:`pyarrow.compute.take` for full usage. Parameters ---------- indices : Array or array-like The indices in the tabular object whose rows will be returned. Returns ------- Table or RecordBatch A tabular object with the same schema, containing the taken rows. Examples -------- Table (works similarly for RecordBatch) >>> import pyarrow as pa >>> table = pa.table({'year': [2020, 2022, 2019, 2021], ... 'n_legs': [2, 4, 5, 100], ... 'animals': ["Flamingo", "Horse", "Brittle stars", "Centipede"]}) >>> table.take([1,3]) pyarrow.Table year: int64 n_legs: int64 animals: string ---- year: [[2022,2021]] n_legs: [[4,100]] animals: [["Horse","Centipede"]]Field.with_metadata(self, metadata) Add metadata as dict of string keys and values to Field Parameters ---------- metadata : dict Keys and values must be string-like / coercible to bytes Returns ------- field : pyarrow.Field Examples -------- >>> import pyarrow as pa >>> field = pa.field('key', pa.int32()) Create new field by adding metadata to existing one: >>> field_new = field.with_metadata({"key": "Something important"}) >>> field_new pyarrow.Field >>> field_new.metadata {b'key': b'Something important'}SparseCSCMatrix.from_dense_numpy(cls, obj, dim_names=None) Convert numpy.ndarray to arrow::SparseCSCMatrix Parameters ---------- obj : numpy.ndarray Data used to populate the rows. dim_names : list[str], optional Names of the dimensions. Returns ------- pyarrow.SparseCSCMatrixSparseCSRMatrix.to_tensor(self) Convert arrow::SparseCSRMatrix to arrow::Tensor.Schema.with_metadata(self, metadata) Add metadata as dict of string keys and values to Schema Parameters ---------- metadata : dict Keys and values must be string-like / coercible to bytes Returns ------- schema : pyarrow.Schema Examples -------- >>> import pyarrow as pa >>> schema = pa.schema([ ... pa.field('n_legs', pa.int64()), ... pa.field('animals', pa.string())]) Add metadata to existing schema field: >>> schema.with_metadata({"n_legs": "Number of legs per animal"}) n_legs: int64 animals: string -- schema metadata -- n_legs: 'Number of legs per animal'RecordBatch.__arrow_c_stream__(self, requested_schema=None) Export the batch as an Arrow C stream PyCapsule. Parameters ---------- requested_schema : PyCapsule, default None The schema to which the stream should be casted, passed as a PyCapsule containing a C ArrowSchema representation of the requested schema. Currently, this is not supported and will raise a NotImplementedError if the schema doesn't match the current schema. Returns ------- PyCapsuleListScalar.__getitem__(self, i) Return the value at the given index._PandasAPIShim.is_sparse(self, obj)SparseCSFTensor.from_numpy(data, indptr, indices, shape, axis_order=None, dim_names=None) Create arrow::SparseCSFTensor from numpy.ndarrays Parameters ---------- data : numpy.ndarray Data used to populate the sparse tensor. indptr : numpy.ndarray The sparsity structure. Each two consecutive dimensions in a tensor correspond to a buffer in indices. A pair of consecutive values at `indptr[dim][i]` `indptr[dim][i + 1]` signify a range of nodes in `indices[dim + 1]` who are children of `indices[dim][i]` node. indices : numpy.ndarray Stores values of nodes. Each tensor dimension corresponds to a buffer in indptr. shape : tuple Shape of the matrix. axis_order : list, optional the sequence in which dimensions were traversed to produce the prefix tree. dim_names : list, optional Names of the dimensions. Examples -------- >>> import pyarrow as pa >>> import numpy as np >>> data = np.array([1.0, 2.0], dtype=np.float32) >>> indptr = [ ... np.array([0, 1, 2], dtype=np.int64), ... np.array([0, 1, 2], dtype=np.int64), ... ] >>> indices = [ ... np.array([0, 1], dtype=np.int64), ... np.array([1, 2], dtype=np.int64), ... np.array([0, 1], dtype=np.int64), ... ] >>> sparse_csf = pa.SparseCSFTensor.from_numpy( ... data, indptr, indices, shape=(2, 3, 2)) >>> sparse_csf type: float shape: (2, 3, 2)LargeListViewArray.from_arrays(offsets, sizes, values, DataType type=None, MemoryPool pool=None, mask=None) Construct LargeListViewArray from arrays of int64 offsets and values. Parameters ---------- offsets : Array (int64 type) sizes : Array (int64 type) values : Array (any type) type : DataType, optional If not specified, a default ListType with the values' type is used. pool : MemoryPool, optional mask : Array (boolean type), optional Indicate which values are null (True) or not null (False). Returns ------- list_view_array : LargeListViewArray Examples -------- >>> import pyarrow as pa >>> values = pa.array([1, 2, 3, 4]) >>> offsets = pa.array([0, 1, 2]) >>> sizes = pa.array([2, 2, 2]) >>> pa.LargeListViewArray.from_arrays(offsets, sizes, values) [ [ 1, 2 ], [ 2, 3 ], [ 3, 4 ] ] >>> # use a null mask to represent null values >>> mask = pa.array([False, True, False]) >>> pa.LargeListViewArray.from_arrays(offsets, sizes, values, mask=mask) [ [ 1, 2 ], null, [ 3, 4 ] ] >>> # null values can be defined in either offsets or sizes arrays >>> # WARNING: this will result in a copy of the offsets or sizes arrays >>> offsets = pa.array([0, None, 2]) >>> pa.LargeListViewArray.from_arrays(offsets, sizes, values) [ [ 1, 2 ], null, [ 3, 4 ] ]write_tensor(Tensor tensor, NativeFile dest) Write pyarrow.Tensor to pyarrow.NativeFile object its current position. Parameters ---------- tensor : pyarrow.Tensor dest : pyarrow.NativeFile Returns ------- bytes_written : int Total number of bytes written to the fileRecordBatch.get_total_buffer_size(self) The sum of bytes in each buffer referenced by the record batch An array may only reference a portion of a buffer. This method will overestimate in this case and return the byte size of the entire buffer. If a buffer is referenced multiple times then it will only be counted once. Examples -------- >>> import pyarrow as pa >>> n_legs = pa.array([2, 2, 4, 4, 5, 100]) >>> animals = pa.array(["Flamingo", "Parrot", "Dog", "Horse", "Brittle stars", "Centipede"]) >>> batch = pa.RecordBatch.from_arrays([n_legs, animals], ... names=["n_legs", "animals"]) >>> batch.get_total_buffer_size() 120Decimal32Type.__reduce__(self)Tensor.to_numpy(self) Convert arrow::Tensor to numpy.ndarray with zero copy Examples -------- >>> import pyarrow as pa >>> import numpy as np >>> x = np.array([[2, 2, 4], [4, 5, 100]], np.int32) >>> tensor = pa.Tensor.from_numpy(x, dim_names=["dim1","dim2"]) >>> tensor.to_numpy() array([[ 2, 2, 4], [ 4, 5, 100]], dtype=int32)ArrowCancelled.__init__(self, message, signum=None)string_view() Create UTF8 variable-length string view type. Examples -------- Create an instance of a string type: >>> import pyarrow as pa >>> pa.string_view() DataType(string_view)Codec.compress(self, buf, asbytes=False, memory_pool=None) Compress data from buffer-like object. Parameters ---------- buf : pyarrow.Buffer, bytes, or other object supporting buffer protocol asbytes : bool, default False Return result as Python bytes object, otherwise Buffer memory_pool : MemoryPool, default None Memory pool to use for buffer allocations, if any Returns ------- compressed : pyarrow.Buffer or bytes (if asbytes=True)_RecordBatchStreamReader._open(self, source, IpcReadOptions options=IpcReadOptions(), MemoryPool memory_pool=None)0(SignalStopHandler._init_signals(self)FixedSizeBufferWriter.__setstate_cython__(self, __pyx_state)StringViewBuilder.__setstate_cython__(self, __pyx_state)Table.from_arrays(arrays, names=None, schema=None, metadata=None) Construct a Table from Arrow arrays. Parameters ---------- arrays : list of pyarrow.Array or pyarrow.ChunkedArray Equal-length arrays that should form the table. names : list of str, optional Names for the table columns. If not passed, schema must be passed. schema : Schema, default None Schema for the created table. If not passed, names must be passed. metadata : dict or Mapping, default None Optional metadata for the schema (if inferred). Returns ------- Table Examples -------- >>> import pyarrow as pa >>> n_legs = pa.array([2, 4, 5, 100]) >>> animals = pa.array(["Flamingo", "Horse", "Brittle stars", "Centipede"]) >>> names = ["n_legs", "animals"] Construct a Table from arrays: >>> pa.Table.from_arrays([n_legs, animals], names=names) pyarrow.Table n_legs: int64 animals: string ---- n_legs: [[2,4,5,100]] animals: [["Flamingo","Horse","Brittle stars","Centipede"]] Construct a Table from arrays with metadata: >>> my_metadata={"n_legs": "Number of legs per animal"} >>> pa.Table.from_arrays([n_legs, animals], ... names=names, ... metadata=my_metadata) pyarrow.Table n_legs: int64 animals: string ---- n_legs: [[2,4,5,100]] animals: [["Flamingo","Horse","Brittle stars","Centipede"]] >>> pa.Table.from_arrays([n_legs, animals], ... names=names, ... metadata=my_metadata).schema n_legs: int64 animals: string -- schema metadata -- n_legs: 'Number of legs per animal' Construct a Table from arrays with pyarrow schema: >>> my_schema = pa.schema([ ... pa.field('n_legs', pa.int64()), ... pa.field('animals', pa.string())], ... metadata={"animals": "Name of the animal species"}) >>> pa.Table.from_arrays([n_legs, animals], ... schema=my_schema) pyarrow.Table n_legs: int64 animals: string ---- n_legs: [[2,4,5,100]] animals: [["Flamingo","Horse","Brittle stars","Centipede"]] >>> pa.Table.from_arrays([n_legs, animals], ... schema=my_schema).schema n_legs: int64 animals: string -- schema metadata -- animals: 'Name of the animal species'Array.__array__(self, dtype=None, copy=None)_RecordBatchFileReader.__exit__(self, exc_type, exc_value, traceback)Array.to_pylist(self, *, maps_as_pydicts=None) Convert to a list of native Python objects. Parameters ---------- maps_as_pydicts : str, optional, default `None` Valid values are `None`, 'lossy', or 'strict'. The default behavior (`None`), is to convert Arrow Map arrays to Python association lists (list-of-tuples) in the same order as the Arrow Map, as in [(key1, value1), (key2, value2), ...]. If 'lossy' or 'strict', convert Arrow Map arrays to native Python dicts. If 'lossy', whenever duplicate keys are detected, a warning will be printed. The last seen value of a duplicate key will be in the Python dictionary. If 'strict', this instead results in an exception being raised when detected. Returns ------- lst : listlarge_string() Create large UTF8 variable-length string type. This data type may not be supported by all Arrow implementations. Unless you need to represent data larger than 2GB, you should prefer string(). Examples -------- Create an instance of large UTF8 variable-length binary type: >>> import pyarrow as pa >>> pa.large_string() DataType(large_string) and use the type to create an array: >>> pa.array(['foo', 'bar'] * 50, type=pa.large_string()) [ "foo", "bar", ... "foo", "bar" ]Tensor.dim_name(self, i) Returns the name of the i-th tensor dimension. Parameters ---------- i : int The physical index of the tensor dimension. Examples -------- >>> import pyarrow as pa >>> import numpy as np >>> x = np.array([[2, 2, 4], [4, 5, 100]], np.int32) >>> tensor = pa.Tensor.from_numpy(x, dim_names=["dim1","dim2"]) >>> tensor.dim_name(0) 'dim1' >>> tensor.dim_name(1) 'dim2'TimestampType.__reduce__(self)Decimal128Scalar.as_py(self, *, maps_as_pydicts=None) Return this value as a Python Decimal. Parameters ---------- maps_as_pydicts : str, optional, default `None` Valid values are `None`, 'lossy', or 'strict'. This parameter is ignored for non-nested Scalars.RecordBatchReader._export_to_c(self, out_ptr) Export to a C ArrowArrayStream struct, given its pointer. Parameters ---------- out_ptr: int The raw pointer to a C ArrowArrayStream struct. Be careful: if you don't pass the ArrowArrayStream struct to a consumer, array memory will leak. This is a low-level function intended for expert users.jemalloc_memory_pool() Return a memory pool based on the jemalloc heap. NotImplementedError is raised if jemalloc support is not enabled._Tabular.to_pydict(self, *, maps_as_pydicts=None) Convert the Table or RecordBatch to a dict or OrderedDict. Parameters ---------- maps_as_pydicts : str, optional, default `None` Valid values are `None`, 'lossy', or 'strict'. The default behavior (`None`), is to convert Arrow Map arrays to Python association lists (list-of-tuples) in the same order as the Arrow Map, as in [(key1, value1), (key2, value2), ...]. If 'lossy' or 'strict', convert Arrow Map arrays to native Python dicts. If 'lossy', whenever duplicate keys are detected, a warning will be printed. The last seen value of a duplicate key will be in the Python dictionary. If 'strict', this instead results in an exception being raised when detected. Returns ------- dict Examples -------- Table (works similarly for RecordBatch) >>> import pyarrow as pa >>> n_legs = pa.array([2, 2, 4, 4, 5, 100]) >>> animals = pa.array(["Flamingo", "Parrot", "Dog", "Horse", "Brittle stars", "Centipede"]) >>> table = pa.Table.from_arrays([n_legs, animals], names=["n_legs", "animals"]) >>> table.to_pydict() {'n_legs': [2, 2, 4, 4, 5, 100], 'animals': ['Flamingo', 'Parrot', ..., 'Centipede']}Array._export_to_c_device(self, out_ptr, out_schema_ptr=0) Export to a C ArrowDeviceArray struct, given its pointer. If a C ArrowSchema struct pointer is also given, the array type is exported to it at the same time. Parameters ---------- out_ptr: int The raw pointer to a C ArrowDeviceArray struct. out_schema_ptr: int (optional) The raw pointer to a C ArrowSchema struct. Be careful: if you don't pass the ArrowDeviceArray struct to a consumer, array memory will leak. This is a low-level function intended for expert users._Tabular.to_pylist(self, *, maps_as_pydicts=None) Convert the Table or RecordBatch to a list of rows / dictionaries. Parameters ---------- maps_as_pydicts : str, optional, default `None` Valid values are `None`, 'lossy', or 'strict'. The default behavior (`None`), is to convert Arrow Map arrays to Python association lists (list-of-tuples) in the same order as the Arrow Map, as in [(key1, value1), (key2, value2), ...]. If 'lossy' or 'strict', convert Arrow Map arrays to native Python dicts. If 'lossy', whenever duplicate keys are detected, a warning will be printed. The last seen value of a duplicate key will be in the Python dictionary. If 'strict', this instead results in an exception being raised when detected. Returns ------- list Examples -------- Table (works similarly for RecordBatch) >>> import pyarrow as pa >>> data = [[2, 4, 5, 100], ... ["Flamingo", "Horse", "Brittle stars", "Centipede"]] >>> table = pa.table(data, names=["n_legs", "animals"]) >>> table.to_pylist() [{'n_legs': 2, 'animals': 'Flamingo'}, {'n_legs': 4, 'animals': 'Horse'}, ...Transcoder.__call__(self, buf)KeyValueMetadata.to_dict(self) Convert KeyValueMetadata to dict. If a key occurs twice, the value for the first one is returnedChunkedArray.is_null(self, *, nan_is_null=False) Return boolean array indicating the null values. Parameters ---------- nan_is_null : bool (optional, default False) Whether floating-point NaN values should also be considered null. Returns ------- array : boolean Array or ChunkedArray Examples -------- >>> import pyarrow as pa >>> n_legs = pa.chunked_array([[2, 2, 4], [4, None, 100]]) >>> n_legs.is_null() [ [ false, false, false, false, true, false ] ]FixedSizeBufferWriter.set_memcopy_threads(self, int num_threads) Parameters ---------- num_threads : intArray.validate(self, *, full=False) Perform validation checks. An exception is raised if validation fails. By default only cheap validation checks are run. Pass `full=True` for thorough validation checks (potentially O(n)). Parameters ---------- full : bool, default False If True, run expensive checks, otherwise cheap checks only. Raises ------ ArrowInvalidsupported_memory_backends() Return a list of available memory pool backendsjson_(DataType storage_type=utf8()) Create instance of JSON extension type. Parameters ---------- storage_type : DataType, default pyarrow.string() The underlying data type. Can be on of the following types: string, large_string, string_view. Returns ------- type : JsonType Examples -------- Create an instance of JSON extension type: >>> import pyarrow as pa >>> pa.json_(pa.utf8()) JsonType(extension) Use the JSON type to create an array: >>> pa.array(['{"a": 1}', '{"b": 2}'], type=pa.json_(pa.utf8())) [ "{"a": 1}", "{"b": 2}" ]logging_memory_pool(MemoryPool parent) Create and return a MemoryPool instance that redirects to the *parent*, but also dumps allocation logs on stderr. Parameters ---------- parent : MemoryPool The real memory pool that should be used for allocations.OpaqueType.__reduce__(self)unregister_extension_type(type_name) Unregister a Python extension type. Parameters ---------- type_name : str The name of the ExtensionType subclass to unregister. Examples -------- Define a RationalType extension type subclassing ExtensionType: >>> import pyarrow as pa >>> class RationalType(pa.ExtensionType): ... def __init__(self, data_type: pa.DataType): ... if not pa.types.is_integer(data_type): ... raise TypeError(f"data_type must be an integer type not {data_type}") ... super().__init__( ... pa.struct( ... [ ... ("numer", data_type), ... ("denom", data_type), ... ], ... ), ... # N.B. This name does _not_ reference `data_type` so deserialization ... # will work for _any_ integer `data_type` after registration ... "my_package.rational", ... ) ... def __arrow_ext_serialize__(self) -> bytes: ... # No parameters are necessary ... return b"" ... @classmethod ... def __arrow_ext_deserialize__(cls, storage_type, serialized): ... # return an instance of this subclass ... return RationalType(storage_type[0].type) Register the extension type: >>> pa.register_extension_type(RationalType(pa.int64())) Unregister the extension type: >>> pa.unregister_extension_type("my_package.rational")ListScalar.as_py(self, *, maps_as_pydicts=None) Return this value as a Python list. Parameters ---------- maps_as_pydicts : str, optional, default `None` Valid values are `None`, 'lossy', or 'strict'. The default behavior (`None`), is to convert Arrow Map arrays to Python association lists (list-of-tuples) in the same order as the Arrow Map, as in [(key1, value1), (key2, value2), ...]. If 'lossy' or 'strict', convert Arrow Map arrays to native Python dicts. If 'lossy', whenever duplicate keys are detected, a warning will be printed. The last seen value of a duplicate key will be in the Python dictionary. If 'strict', this instead results in an exception being raised when detected.nulls(size, type=None, MemoryPool memory_pool=None) Create a strongly-typed Array instance with all elements null. Parameters ---------- size : int Array length. type : pyarrow.DataType, default None Explicit type for the array. By default use NullType. memory_pool : MemoryPool, default None Arrow MemoryPool to use for allocations. Uses the default memory pool if not passed. Returns ------- arr : Array Examples -------- >>> import pyarrow as pa >>> pa.nulls(10) 10 nulls >>> pa.nulls(3, pa.uint32()) [ null, null, null ]UnionType.__len__(self) Like num_fields().MemoryPool.__reduce_cython__(self)Buffer.to_pybytes(self) Return this buffer as a Python bytes object. Memory is copied.MemoryMappedFile.__setstate_cython__(self, __pyx_state)Table.__arrow_c_stream__(self, requested_schema=None) Export the table as an Arrow C stream PyCapsule. Parameters ---------- requested_schema : PyCapsule, default None The schema to which the stream should be casted, passed as a PyCapsule containing a C ArrowSchema representation of the requested schema. Currently, this is not supported and will raise a NotImplementedError if the schema doesn't match the current schema. Returns ------- PyCapsulestruct(fields) Create StructType instance from fields. A struct is a nested type parameterized by an ordered sequence of types (which can all be distinct), called its fields. Parameters ---------- fields : iterable of Fields or tuples, or mapping of strings to DataTypes Each field must have a UTF8-encoded name, and these field names are part of the type metadata. Examples -------- Create an instance of StructType from an iterable of tuples: >>> import pyarrow as pa >>> fields = [ ... ('f1', pa.int32()), ... ('f2', pa.string()), ... ] >>> struct_type = pa.struct(fields) >>> struct_type StructType(struct) Retrieve a field from a StructType: >>> struct_type[0] pyarrow.Field >>> struct_type['f1'] pyarrow.Field Create an instance of StructType from an iterable of Fields: >>> fields = [ ... pa.field('f1', pa.int32()), ... pa.field('f2', pa.string(), nullable=False), ... ] >>> pa.struct(fields) StructType(struct) Returns ------- type : DataTypedefault_memory_pool() Return the process-global memory pool. Examples -------- >>> default_memory_pool() cpu_count() Return the number of threads to use in parallel operations. The number of threads is determined at startup by inspecting the ``OMP_NUM_THREADS`` and ``OMP_THREAD_LIMIT`` environment variables. If neither is present, it will default to the number of hardware threads on the system. It can be modified at runtime by calling :func:`set_cpu_count()`. See Also -------- set_cpu_count : Modify the size of this pool. io_thread_count : The analogous function for the I/O thread pool._Tabular.append_column(self, field_, column) Append column at end of columns. Parameters ---------- field_ : str or Field If a string is passed then the type is deduced from the column data. column : Array or value coercible to array Column data. Returns ------- Table or RecordBatch New table or record batch with the passed column added. Examples -------- >>> import pyarrow as pa >>> table = pa.table({'n_legs': [2, 4, 5, 100], ... 'animals': ["Flamingo", "Horse", "Brittle stars", "Centipede"]}) Append column at the end: >>> year = [2021, 2022, 2019, 2021] >>> table.append_column('year', [year]) pyarrow.Table n_legs: int64 animals: string year: int64 ---- n_legs: [[2,4,5,100]] animals: [["Flamingo","Horse","Brittle stars","Centipede"]] year: [[2021,2022,2019,2021]]Array._to_pandas(self, options, types_mapper=None, **kwargs)Codec.__setstate_cython__(self, __pyx_state)NativeFile.metadata(self) Return file metadata_CRecordBatchWriter.write_batch(self, RecordBatch batch, custom_metadata=None) Write RecordBatch to stream. Parameters ---------- batch : RecordBatch custom_metadata : mapping or KeyValueMetadata Keys and values must be string-like / coercible to bytesRecordBatch.to_tensor(self, bool null_to_nan=False, bool row_major=True, MemoryPool memory_pool=None) Convert to a :class:`~pyarrow.Tensor`. RecordBatches that can be converted have fields of type signed or unsigned integer or float, including all bit-widths. ``null_to_nan`` is ``False`` by default and this method will raise an error in case any nulls are present. RecordBatches with nulls can be converted with ``null_to_nan`` set to ``True``. In this case null values are converted to ``NaN`` and integer type arrays are promoted to the appropriate float type. Parameters ---------- null_to_nan : bool, default False Whether to write null values in the result as ``NaN``. row_major : bool, default True Whether resulting Tensor is row-major or column-major memory_pool : MemoryPool, default None For memory allocations, if required, otherwise use default pool Examples -------- >>> import pyarrow as pa >>> batch = pa.record_batch( ... [ ... pa.array([1, 2, 3, 4, None], type=pa.int32()), ... pa.array([10, 20, 30, 40, None], type=pa.float32()), ... ], names = ["a", "b"] ... ) >>> batch pyarrow.RecordBatch a: int32 b: float ---- a: [1,2,3,4,null] b: [10,20,30,40,null] Convert a RecordBatch to row-major Tensor with null values written as NaN values >>> batch.to_tensor(null_to_nan=True) type: double shape: (5, 2) strides: (16, 8) >>> batch.to_tensor(null_to_nan=True).to_numpy() array([[ 1., 10.], [ 2., 20.], [ 3., 30.], [ 4., 40.], [nan, nan]]) Convert a RecordBatch to column-major Tensor >>> batch.to_tensor(null_to_nan=True, row_major=False) type: double shape: (5, 2) strides: (8, 40) >>> batch.to_tensor(null_to_nan=True, row_major=False).to_numpy() array([[ 1., 10.], [ 2., 20.], [ 3., 30.], [ 4., 40.], [nan, nan]])_RecordBatchFileWriter.__setstate_cython__(self, __pyx_state)is_boolean_value(obj) Check if the object is a boolean. Parameters ---------- obj : object The object to checkRecordBatch.from_struct_array(StructArray struct_array) Construct a RecordBatch from a StructArray. Each field in the StructArray will become a column in the resulting ``RecordBatch``. Parameters ---------- struct_array : StructArray Array to construct the record batch from. Returns ------- pyarrow.RecordBatch Examples -------- >>> import pyarrow as pa >>> struct = pa.array([{'n_legs': 2, 'animals': 'Parrot'}, ... {'year': 2022, 'n_legs': 4, 'animals': 'Goat'}]) >>> pa.RecordBatch.from_struct_array(struct).to_pandas() n_legs animals year 0 2 Parrot NaN 1 4 Goat 2022.0RecordBatch.copy_to(self, destination) Copy the entire RecordBatch to destination device. This copies each column of the record batch to create a new record batch where all underlying buffers for the columns have been copied to the destination MemoryManager. Parameters ---------- destination : pyarrow.MemoryManager or pyarrow.Device The destination device to copy the array to. Returns ------- RecordBatchChunkedArray.sort(self, order='ascending', **kwargs) Sort the ChunkedArray Parameters ---------- order : str, default "ascending" Which order to sort values in. Accepted values are "ascending", "descending". **kwargs : dict, optional Additional sorting options. As allowed by :class:`SortOptions` Returns ------- result : ChunkedArrayuuid() Create UuidType instance. Returns ------- type : UuidType_ExtensionRegistryNanny.__reduce_cython__(self)UuidType.__reduce__(self)SparseCOOTensor.equals(self, SparseCOOTensor other) Return true if sparse tensors contains exactly equal data. Parameters ---------- other : SparseCOOTensor The other tensor to compare for equality.IpcWriteOptions.__setstate_cython__(self, __pyx_state)SparseCSCMatrix.__reduce_cython__(self)RecordBatch.remove_column(self, int i) Create new RecordBatch with the indicated column removed. Parameters ---------- i : int Index of column to remove. Returns ------- Table New record batch without the column. Examples -------- >>> import pyarrow as pa >>> batch = pa.RecordBatch.from_arrays( ... [[2, 4, 5, 100], ["Flamingo", "Horse", "Brittle stars", "Centipede"]], ... names=['n_legs', 'animals']) >>> batch.remove_column(1) pyarrow.RecordBatch n_legs: int64 ---- n_legs: [2,4,5,100]ChunkedArray.length(self) Return length of a ChunkedArray. Examples -------- >>> import pyarrow as pa >>> n_legs = pa.chunked_array([[2, 2, 4], [4, 5, 100]]) >>> n_legs.length() 6unify_schemas(schemas, *, promote_options='default') Unify schemas by merging fields by name. The resulting schema will contain the union of fields from all schemas. Fields with the same name will be merged. Note that two fields with different types will fail merging by default. - The unified field will inherit the metadata from the schema where that field is first defined. - The first N fields in the schema will be ordered the same as the N fields in the first schema. The resulting schema will inherit its metadata from the first input schema. Parameters ---------- schemas : list of Schema Schemas to merge into a single one. promote_options : str, default default Accepts strings "default" and "permissive". Default: null and only null can be unified with another type. Permissive: types are promoted to the greater common denominator. Returns ------- Schema Raises ------ ArrowInvalid : If any input schema contains fields with duplicate names. If Fields of the same name are not mergeable.Array.equals(self, Array other) Parameters ---------- other : pyarrow.Array Returns ------- boolint8() Create instance of signed int8 type. Examples -------- Create an instance of int8 type: >>> import pyarrow as pa >>> pa.int8() DataType(int8) >>> print(pa.int8()) int8 Create an array with int8 type: >>> pa.array([0, 1, 2], type=pa.int8()) [ 0, 1, 2 ]io_thread_count() Return the number of threads to use for I/O operations. Many operations, such as scanning a dataset, will implicitly make use of this pool. The number of threads is set to a fixed value at startup. It can be modified at runtime by calling :func:`set_io_thread_count()`. See Also -------- set_io_thread_count : Modify the size of this pool. cpu_count : The analogous function for the CPU thread pool._Tabular.sort_by(self, sorting, **kwargs) Sort the Table or RecordBatch by one or multiple columns. Parameters ---------- sorting : str or list[tuple(name, order)] Name of the column to use to sort (ascending), or a list of multiple sorting conditions where each entry is a tuple with column name and sorting order ("ascending" or "descending") **kwargs : dict, optional Additional sorting options. As allowed by :class:`SortOptions` Returns ------- Table or RecordBatch A new tabular object sorted according to the sort keys. Examples -------- Table (works similarly for RecordBatch) >>> import pyarrow as pa >>> table = pa.table({'year': [2020, 2022, 2021, 2022, 2019, 2021], ... 'n_legs': [2, 2, 4, 4, 5, 100], ... 'animal': ["Flamingo", "Parrot", "Dog", "Horse", ... "Brittle stars", "Centipede"]}) >>> table.sort_by('animal') pyarrow.Table year: int64 n_legs: int64 animal: string ---- year: [[2019,2021,2021,2020,2022,2022]] n_legs: [[5,100,4,2,4,2]] animal: [["Brittle stars","Centipede","Dog","Flamingo","Horse","Parrot"]]StringBuilder.__setstate_cython__(self, __pyx_state)ChunkedArray.fill_null(self, fill_value) Replace each null element in values with fill_value. See :func:`pyarrow.compute.fill_null` for full usage. Parameters ---------- fill_value : any The replacement value for null entries. Returns ------- result : Array or ChunkedArray A new array with nulls replaced by the given value. Examples -------- >>> import pyarrow as pa >>> fill_value = pa.scalar(5, type=pa.int8()) >>> n_legs = pa.chunked_array([[2, 2, 4], [4, None, 100]]) >>> n_legs.fill_null(fill_value) [ [ 2, 2, 4, 4, 5, 100 ] ]SparseCSFTensor.from_tensor(obj) Convert arrow::Tensor to arrow::SparseCSFTensor Parameters ---------- obj : Tensor The dense tensor that should be converted.LargeListType.__reduce__(self)RecordBatch.from_arrays(list arrays, names=None, schema=None, metadata=None) Construct a RecordBatch from multiple pyarrow.Arrays Parameters ---------- arrays : list of pyarrow.Array One for each field in RecordBatch names : list of str, optional Names for the batch fields. If not passed, schema must be passed schema : Schema, default None Schema for the created batch. If not passed, names must be passed metadata : dict or Mapping, default None Optional metadata for the schema (if inferred). Returns ------- pyarrow.RecordBatch Examples -------- >>> import pyarrow as pa >>> n_legs = pa.array([2, 2, 4, 4, 5, 100]) >>> animals = pa.array(["Flamingo", "Parrot", "Dog", "Horse", "Brittle stars", "Centipede"]) >>> names = ["n_legs", "animals"] Construct a RecordBatch from pyarrow Arrays using names: >>> pa.RecordBatch.from_arrays([n_legs, animals], names=names) pyarrow.RecordBatch n_legs: int64 animals: string ---- n_legs: [2,2,4,4,5,100] animals: ["Flamingo","Parrot","Dog","Horse","Brittle stars","Centipede"] >>> pa.RecordBatch.from_arrays([n_legs, animals], names=names).to_pandas() n_legs animals 0 2 Flamingo 1 2 Parrot 2 4 Dog 3 4 Horse 4 5 Brittle stars 5 100 Centipede Construct a RecordBatch from pyarrow Arrays using schema: >>> my_schema = pa.schema([ ... pa.field('n_legs', pa.int64()), ... pa.field('animals', pa.string())], ... metadata={"n_legs": "Number of legs per animal"}) >>> pa.RecordBatch.from_arrays([n_legs, animals], schema=my_schema).to_pandas() n_legs animals 0 2 Flamingo 1 2 Parrot 2 4 Dog 3 4 Horse 4 5 Brittle stars 5 100 Centipede >>> pa.RecordBatch.from_arrays([n_legs, animals], schema=my_schema).schema n_legs: int64 animals: string -- schema metadata -- n_legs: 'Number of legs per animal'__pyx_unpickle__PandasConvertible(__pyx_type, long __pyx_checksum, tuple __pyx_state)ChunkedArray.to_numpy(self, zero_copy_only=False) Return a NumPy copy of this array (experimental). Parameters ---------- zero_copy_only : bool, default False Introduced for signature consistence with pyarrow.Array.to_numpy. This must be False here since NumPy arrays' buffer must be contiguous. Returns ------- array : numpy.ndarray Examples -------- >>> import pyarrow as pa >>> n_legs = pa.chunked_array([[2, 2, 4], [4, 5, 100]]) >>> n_legs.to_numpy() array([ 2, 2, 4, 4, 5, 100])_datetime_from_int(int64_t value, TimeUnit unit, tzinfo=None)_RecordBatchStreamWriter.__reduce_cython__(self)_to_pandas_dtype(arrow_type, options=None)Table.join(self, right_table, keys, right_keys=None, join_type='left outer', left_suffix=None, right_suffix=None, coalesce_keys=True, use_threads=True, filter_expression=None) Perform a join between this table and another one. Result of the join will be a new Table, where further operations can be applied. Parameters ---------- right_table : Table The table to join to the current one, acting as the right table in the join operation. keys : str or list[str] The columns from current table that should be used as keys of the join operation left side. right_keys : str or list[str], default None The columns from the right_table that should be used as keys on the join operation right side. When ``None`` use the same key names as the left table. join_type : str, default "left outer" The kind of join that should be performed, one of ("left semi", "right semi", "left anti", "right anti", "inner", "left outer", "right outer", "full outer") left_suffix : str, default None Which suffix to add to left column names. This prevents confusion when the columns in left and right tables have colliding names. right_suffix : str, default None Which suffix to add to the right column names. This prevents confusion when the columns in left and right tables have colliding names. coalesce_keys : bool, default True If the duplicated keys should be omitted from one of the sides in the join result. use_threads : bool, default True Whether to use multithreading or not. filter_expression : pyarrow.compute.Expression Residual filter which is applied to matching row. Returns ------- Table Examples -------- >>> import pyarrow as pa >>> import pyarrow.compute as pc >>> t1 = pa.table({'id': [1, 2, 3], ... 'year': [2020, 2022, 2019]}) >>> t2 = pa.table({'id': [3, 4], ... 'n_legs': [5, 100], ... 'animal': ["Brittle stars", "Centipede"]}) Left outer join: >>> t1.join(t2, 'id').combine_chunks().sort_by('year') pyarrow.Table id: int64 year: int64 n_legs: int64 animal: string ---- id: [[3,1,2]] year: [[2019,2020,2022]] n_legs: [[5,null,null]] animal: [["Brittle stars",null,null]] Full outer join: >>> t1.join(t2, 'id', join_type="full outer").combine_chunks().sort_by('year') pyarrow.Table id: int64 year: int64 n_legs: int64 animal: string ---- id: [[3,1,2,4]] year: [[2019,2020,2022,null]] n_legs: [[5,null,null,100]] animal: [["Brittle stars",null,null,"Centipede"]] Right outer join: >>> t1.join(t2, 'id', join_type="right outer").combine_chunks().sort_by('year') pyarrow.Table year: int64 id: int64 n_legs: int64 animal: string ---- year: [[2019,null]] id: [[3,4]] n_legs: [[5,100]] animal: [["Brittle stars","Centipede"]] Right anti join: >>> t1.join(t2, 'id', join_type="right anti") pyarrow.Table id: int64 n_legs: int64 animal: string ---- id: [[4]] n_legs: [[100]] animal: [["Centipede"]] Inner join with intended mismatch filter expression: >>> t1.join(t2, 'id', join_type="inner", filter_expression=pc.equal(pc.field("n_legs"), 100)) pyarrow.Table id: int64 year: int64 n_legs: int64 animal: string ---- id: [] year: [] n_legs: [] animal: []Table.slice(self, offset=0, length=None) Compute zero-copy slice of this Table. Parameters ---------- offset : int, default 0 Offset from start of table to slice. length : int, default None Length of slice (default is until end of table starting from offset). Returns ------- Table Examples -------- >>> import pyarrow as pa >>> table = pa.table({'year': [2020, 2022, 2019, 2021], ... 'n_legs': [2, 4, 5, 100], ... 'animals': ["Flamingo", "Horse", "Brittle stars", "Centipede"]}) >>> table.slice(length=3) pyarrow.Table year: int64 n_legs: int64 animals: string ---- year: [[2020,2022,2019]] n_legs: [[2,4,5]] animals: [["Flamingo","Horse","Brittle stars"]] >>> table.slice(offset=2) pyarrow.Table year: int64 n_legs: int64 animals: string ---- year: [[2019,2021]] n_legs: [[5,100]] animals: [["Brittle stars","Centipede"]] >>> table.slice(offset=2, length=1) pyarrow.Table year: int64 n_legs: int64 animals: string ---- year: [[2019]] n_legs: [[5]] animals: [["Brittle stars"]]OpaqueType.__arrow_ext_class__(self)_restore_array(data) Reconstruct an Array from pickled ArrayData.StringViewBuilder.append_values(self, values) Append all the values from an iterable. Parameters ---------- values : iterable of string/bytes or np.nan/None values The values to append to the string array builder.Array.__dlpack__(self, stream=None) Export a primitive array as a DLPack capsule. Parameters ---------- stream : int, optional A Python integer representing a pointer to a stream. Currently not supported. Stream is provided by the consumer to the producer to instruct the producer to ensure that operations can safely be performed on the array. Returns ------- capsule : PyCapsule A DLPack capsule for the array, pointing to a DLManagedTensor.Array.tolist(self) Alias of to_pylist for compatibility with NumPy.MemoryManager.__reduce_cython__(self)_RecordBatchStreamWriter.__setstate_cython__(self, __pyx_state)Scalar.cast(self, target_type=None, safe=None, options=None, memory_pool=None) Cast scalar value to another data type. See :func:`pyarrow.compute.cast` for usage. Parameters ---------- target_type : DataType, default None Type to cast scalar to. safe : boolean, default True Whether to check for conversion errors such as overflow. options : CastOptions, default None Additional checks pass by CastOptions memory_pool : MemoryPool, optional memory pool to use for allocations during function execution. Returns ------- scalar : A Scalar of the given target data type._Tabular.__setstate_cython__(self, __pyx_state)ChunkedArray.__getitem__(self, key) Slice or return value at given index Parameters ---------- key : integer or slice Slices with step not equal to 1 (or None) will produce a copy rather than a zero-copy view Returns ------- value : Scalar (index) or ChunkedArray (slice)UnionType.field(self, i) -> Field Return a child field by its numeric index. Parameters ---------- i : int Returns ------- pyarrow.Field Examples -------- >>> import pyarrow as pa >>> union = pa.sparse_union([pa.field('a', pa.binary(10)), pa.field('b', pa.string())]) >>> union[0] pyarrow.FieldSchema._export_to_c(self, out_ptr) Export to a C ArrowSchema struct, given its pointer. Be careful: if you don't pass the ArrowSchema struct to a consumer, its memory will leak. This is a low-level function intended for expert users._PandasAPIShim.is_datetimetz(self, obj)_RecordBatchFileReader._open(self, source, footer_offset=None, IpcReadOptions options=IpcReadOptions(), MemoryPool memory_pool=None)PythonFile.readlines(self, hint=None) Read lines of the file. Parameters ---------- hint : int Maximum number of bytes read until we stopdate64() Create instance of 64-bit date (milliseconds since UNIX epoch 1970-01-01). Examples -------- Create an instance of 64-bit date type: >>> import pyarrow as pa >>> pa.date64() DataType(date64[ms]) Create a scalar with 64-bit date type: >>> from datetime import datetime >>> pa.scalar(datetime(2012, 1, 1), type=pa.date64()) uint32() Create instance of unsigned uint32 type. Examples -------- Create an instance of unsigned int32 type: >>> import pyarrow as pa >>> pa.uint32() DataType(uint32) >>> print(pa.uint32()) uint32 Create an array with unsigned int32 type: >>> pa.array([0, 1, 2], type=pa.uint32()) [ 0, 1, 2 ]NativeFile.__exit__(self, exc_type, exc_value, tb)BinaryScalar.as_buffer(self) Return a view over this value as a Buffer object.IpcReadOptions.__reduce_cython__(self)StopToken.__reduce_cython__(self)_RecordBatchFileWriter._open(self, sink, Schema schema, IpcWriteOptions options=IpcWriteOptions(), metadata=None)UInt8Scalar.as_py(self, *, maps_as_pydicts=None) Return this value as a Python int. Parameters ---------- maps_as_pydicts : str, optional, default `None` Valid values are `None`, 'lossy', or 'strict'. This parameter is ignored for non-nested Scalars._RecordBatchFileWriter.__reduce_cython__(self)ChunkedArray.value_counts(self) Compute counts of unique elements in array. Returns ------- An array of structs Examples -------- >>> import pyarrow as pa >>> n_legs = pa.chunked_array([[2, 2, 4], [4, 5, 100]]) >>> n_legs [ [ 2, 2, 4 ], [ 4, 5, 100 ] ] >>> n_legs.value_counts() -- is_valid: all not null -- child 0 type: int64 [ 2, 4, 5, 100 ] -- child 1 type: int64 [ 2, 2, 1, 1 ]Bool8Array.from_storage(Int8Array storage) Construct Bool8Array from Int8Array storage. Parameters ---------- storage : Int8Array The underlying storage for the result array. Returns ------- bool8_array : Bool8ArrayStructType.__iter__(self) Iterate over struct fields, in order.DataType._export_to_c(self, out_ptr) Export to a C ArrowSchema struct, given its pointer. Be careful: if you don't pass the ArrowSchema struct to a consumer, its memory will leak. This is a low-level function intended for expert users.NativeFile.size(self) Return file size_get_pandas_type(arrow_type, coerce_to_ns=False)large_utf8() Alias for large_string(). Examples -------- Create an instance of large UTF8 variable-length binary type: >>> import pyarrow as pa >>> pa.large_utf8() DataType(large_string) and use the type to create an array: >>> pa.array(['foo', 'bar'] * 50, type=pa.large_utf8()) [ "foo", "bar", ... "foo", "bar" ]float16() Create half-precision floating point type. Examples -------- Create an instance of float16 type: >>> import pyarrow as pa >>> pa.float16() DataType(halffloat) >>> print(pa.float16()) halffloat Create an array with float16 type: >>> arr = np.array([1.5, np.nan], dtype=np.float16) >>> a = pa.array(arr, type=pa.float16()) >>> a [ 1.5, nan ] Note that unlike other float types, if you convert this array to a python list, the types of its elements will be ``np.float16`` >>> [type(val) for val in a.to_pylist()] [, ]decimal128(int precision, int scale=0) -> DataType Create decimal type with precision and scale and 128-bit width. Arrow decimals are fixed-point decimal numbers encoded as a scaled integer. The precision is the number of significant digits that the decimal type can represent; the scale is the number of digits after the decimal point (note the scale can be negative). As an example, ``decimal128(7, 3)`` can exactly represent the numbers 1234.567 and -1234.567 (encoded internally as the 128-bit integers 1234567 and -1234567, respectively), but neither 12345.67 nor 123.4567. ``decimal128(5, -3)`` can exactly represent the number 12345000 (encoded internally as the 128-bit integer 12345), but neither 123450000 nor 1234500. If you need a precision higher than 38 significant digits, consider using ``decimal256``. Parameters ---------- precision : int Must be between 1 and 38 scale : int Returns ------- decimal_type : Decimal128Type Examples -------- Create an instance of decimal type: >>> import pyarrow as pa >>> pa.decimal128(5, 2) Decimal128Type(decimal128(5, 2)) Create an array with decimal type: >>> import decimal >>> a = decimal.Decimal('123.45') >>> pa.array([a], pa.decimal128(5, 2)) [ 123.45 ]SparseCSCMatrix.to_scipy(self) Convert arrow::SparseCSCMatrix to scipy.sparse.csc_arrayNativeFile.download(self, stream_or_path, buffer_size=None) Read this file completely to a local path or destination stream. This method first seeks to the beginning of the file. Parameters ---------- stream_or_path : str or file-like object If a string, a local file path to write to; otherwise, should be a writable stream. buffer_size : int, optional The buffer size to use for data transfers.Array.take(self, indices) Select values from an array. See :func:`pyarrow.compute.take` for full usage. Parameters ---------- indices : Array or array-like The indices in the array whose values will be returned. Returns ------- taken : Array An array with the same datatype, containing the taken values.string_to_tzinfo(name) Convert a time zone name into a time zone object. Supported input strings are: * As used in the Olson time zone database (the "tz database" or "tzdata"), such as "America/New_York" * An absolute time zone offset of the form +XX:XX or -XX:XX, such as +07:30 Parameters ---------- name: str Time zone name. Returns ------- tz : datetime.tzinfo Time zone objectExtensionScalar.from_storage(BaseExtensionType typ, value) Construct ExtensionScalar from type and storage value. Parameters ---------- typ : DataType The extension type for the result scalar. value : object The storage value for the result scalar. Returns ------- ext_scalar : ExtensionScalar_PandasAPIShim.pandas_dtype(self, dtype)NativeFile._assert_open(self)ChunkedArray.chunk(self, i) Select a chunk by its index. Parameters ---------- i : int Returns ------- pyarrow.Array Examples -------- >>> import pyarrow as pa >>> n_legs = pa.chunked_array([[2, 2, None], [4, 5, 100]]) >>> n_legs.chunk(1) [ 4, 5, 100 ]DictionaryScalar.as_py(self, *, maps_as_pydicts=None) Return this encoded value as a Python object. Parameters ---------- maps_as_pydicts : str, optional, default `None` Valid values are `None`, 'lossy', or 'strict'. The default behavior (`None`), is to convert Arrow Map arrays to Python association lists (list-of-tuples) in the same order as the Arrow Map, as in [(key1, value1), (key2, value2), ...]. If 'lossy' or 'strict', convert Arrow Map arrays to native Python dicts. If 'lossy', whenever duplicate keys are detected, a warning will be printed. The last seen value of a duplicate key will be in the Python dictionary. If 'strict', this instead results in an exception being raised when detected.SparseCSCMatrix.from_numpy(data, indptr, indices, shape, dim_names=None) Create arrow::SparseCSCMatrix from numpy.ndarrays Parameters ---------- data : numpy.ndarray Data used to populate the sparse matrix. indptr : numpy.ndarray Range of the rows, The i-th row spans from `indptr[i]` to `indptr[i+1]` in the data. indices : numpy.ndarray Column indices of the corresponding non-zero values. shape : tuple Shape of the matrix. dim_names : list, optional Names of the dimensions. Examples -------- >>> import pyarrow as pa >>> import numpy as np >>> data = np.array([1.0, 3.0, 2.0], dtype=np.float64) >>> indptr = np.array([0, 1, 2, 3], dtype=np.int64) >>> indices = np.array([0, 1, 0], dtype=np.int64) >>> sparse_csc = pa.SparseCSCMatrix.from_numpy( ... data, indptr, indices, shape=(2, 3)) >>> sparse_csc type: double shape: (2, 3)Array._export_to_c(self, out_ptr, out_schema_ptr=0) Export to a C ArrowArray struct, given its pointer. If a C ArrowSchema struct pointer is also given, the array type is exported to it at the same time. Parameters ---------- out_ptr: int The raw pointer to a C ArrowArray struct. out_schema_ptr: int (optional) The raw pointer to a C ArrowSchema struct. Be careful: if you don't pass the ArrowArray struct to a consumer, array memory will leak. This is a low-level function intended for expert users.Field.__arrow_c_schema__(self) Export to a ArrowSchema PyCapsule Unlike _export_to_c, this will not leak memory if the capsule is not used.CompressedInputStream.__setstate_cython__(self, __pyx_state)Field._import_from_c_capsule(schema) Import a Field from a ArrowSchema PyCapsule Parameters ---------- schema : PyCapsule A valid PyCapsule with name 'arrow_schema' containing an ArrowSchema pointer._Tabular.itercolumns(self) Iterator over all columns in their numerical order. Yields ------ Array (for RecordBatch) or ChunkedArray (for Table) Examples -------- Table (works similarly for RecordBatch) >>> import pyarrow as pa >>> table = pa.table({'n_legs': [None, 4, 5, None], ... 'animals': ["Flamingo", "Horse", None, "Centipede"]}) >>> for i in table.itercolumns(): ... print(i.null_count) ... 2 1_get_pandas_tz_type(arrow_type, coerce_to_ns=False)MapScalar.keys(self) Return the keys of the map as a list.BufferOutputStream.__setstate_cython__(self, __pyx_state)decimal256(int precision, int scale=0) -> DataType Create decimal type with precision and scale and 256-bit width. Arrow decimals are fixed-point decimal numbers encoded as a scaled integer. The precision is the number of significant digits that the decimal type can represent; the scale is the number of digits after the decimal point (note the scale can be negative). For most use cases, the maximum precision offered by ``decimal128`` is sufficient, and it will result in a more compact and more efficient encoding. ``decimal256`` is useful if you need a precision higher than 38 significant digits. Parameters ---------- precision : int Must be between 1 and 76 scale : int Returns ------- decimal_type : Decimal256TypeKeyValueMetadata.value(self, i) Parameters ---------- i : int Returns ------- bytedecimal32(int precision, int scale=0) -> DataType Create decimal type with precision and scale and 32-bit width. Arrow decimals are fixed-point decimal numbers encoded as a scaled integer. The precision is the number of significant digits that the decimal type can represent; the scale is the number of digits after the decimal point (note the scale can be negative). As an example, ``decimal32(7, 3)`` can exactly represent the numbers 1234.567 and -1234.567 (encoded internally as the 32-bit integers 1234567 and -1234567, respectively), but neither 12345.67 nor 123.4567. ``decimal32(5, -3)`` can exactly represent the number 12345000 (encoded internally as the 32-bit integer 12345), but neither 123450000 nor 1234500. If you need a precision higher than 9 significant digits, consider using ``decimal64``, ``decimal128``, or ``decimal256``. Parameters ---------- precision : int Must be between 1 and 9 scale : int Returns ------- decimal_type : Decimal32Type Examples -------- Create an instance of decimal type: >>> import pyarrow as pa >>> pa.decimal32(5, 2) Decimal32Type(decimal32(5, 2)) Create an array with decimal type: >>> import decimal >>> a = decimal.Decimal('123.45') >>> pa.array([a], pa.decimal32(5, 2)) [ 123.45 ]ChunkedArray.unique(self) Compute distinct elements in array Returns ------- pyarrow.Array Examples -------- >>> import pyarrow as pa >>> n_legs = pa.chunked_array([[2, 2, 4], [4, 5, 100]]) >>> n_legs [ [ 2, 2, 4 ], [ 4, 5, 100 ] ] >>> n_legs.unique() [ 2, 4, 5, 100 ]BufferedOutputStream.__reduce_cython__(self)LoggingMemoryPool.__reduce_cython__(self)MemoryMappedFile._open(self, path, mode='r')RecordBatchReader.from_batches(Schema schema, batches) Create RecordBatchReader from an iterable of batches. Parameters ---------- schema : Schema The shared schema of the record batches batches : Iterable[RecordBatch] The batches that this reader will return. Returns ------- reader : RecordBatchReader_RecordBatchFileReader.read_all(self) Read all record batches as a pyarrow.TableBinaryScalar.as_py(self, *, maps_as_pydicts=None) Return this value as a Python bytes. Parameters ---------- maps_as_pydicts : str, optional, default `None` Valid values are `None`, 'lossy', or 'strict'. This parameter is ignored for non-nested Scalars.Table.equals(self, Table other, bool check_metadata=False) Check if contents of two tables are equal. Parameters ---------- other : pyarrow.Table Table to compare against. check_metadata : bool, default False Whether schema metadata equality should be checked as well. Returns ------- bool Examples -------- >>> import pyarrow as pa >>> n_legs = pa.array([2, 2, 4, 4, 5, 100]) >>> animals = pa.array(["Flamingo", "Parrot", "Dog", "Horse", "Brittle stars", "Centipede"]) >>> names=["n_legs", "animals"] >>> table = pa.Table.from_arrays([n_legs, animals], names=names) >>> table_0 = pa.Table.from_arrays([]) >>> table_1 = pa.Table.from_arrays([n_legs, animals], ... names=names, ... metadata={"n_legs": "Number of legs per animal"}) >>> table.equals(table) True >>> table.equals(table_0) False >>> table.equals(table_1) True >>> table.equals(table_1, check_metadata=True) FalseSparseCOOTensor.to_tensor(self) Convert arrow::SparseCOOTensor to arrow::Tensor.BufferOutputStream.getvalue(self) Finalize output stream and return result as pyarrow.Buffer. Returns ------- value : BufferSparseCSFTensor.from_dense_numpy(cls, obj, dim_names=None) Convert numpy.ndarray to arrow::SparseCSFTensor Parameters ---------- obj : numpy.ndarray Data used to populate the rows. dim_names : list[str], optional Names of the dimensions. Returns ------- pyarrow.SparseCSFTensorBufferReader.__setstate_cython__(self, __pyx_state)LargeListArray.from_arrays(offsets, values, DataType type=None, MemoryPool pool=None, mask=None) Construct LargeListArray from arrays of int64 offsets and values. Parameters ---------- offsets : Array (int64 type) values : Array (any type) type : DataType, optional If not specified, a default ListType with the values' type is used. pool : MemoryPool, optional mask : Array (boolean type), optional Indicate which values are null (True) or not null (False). Returns ------- list_array : LargeListArray0123456789abcdef0123456789ABCDEFDoubleScalar.as_py(self, *, maps_as_pydicts=None) Return this value as a Python float. Parameters ---------- maps_as_pydicts : str, optional, default `None` Valid values are `None`, 'lossy', or 'strict'. This parameter is ignored for non-nested Scalars.Table.from_pandas(cls, df, Schema schema=None, preserve_index=None, nthreads=None, columns=None, bool safe=True) Convert pandas.DataFrame to an Arrow Table. The column types in the resulting Arrow Table are inferred from the dtypes of the pandas.Series in the DataFrame. In the case of non-object Series, the NumPy dtype is translated to its Arrow equivalent. In the case of `object`, we need to guess the datatype by looking at the Python objects in this Series. Be aware that Series of the `object` dtype don't carry enough information to always lead to a meaningful Arrow type. In the case that we cannot infer a type, e.g. because the DataFrame is of length 0 or the Series only contains None/nan objects, the type is set to null. This behavior can be avoided by constructing an explicit schema and passing it to this function. Parameters ---------- df : pandas.DataFrame schema : pyarrow.Schema, optional The expected schema of the Arrow Table. This can be used to indicate the type of columns if we cannot infer it automatically. If passed, the output will have exactly this schema. Columns specified in the schema that are not found in the DataFrame columns or its index will raise an error. Additional columns or index levels in the DataFrame which are not specified in the schema will be ignored. preserve_index : bool, optional Whether to store the index as an additional column in the resulting ``Table``. The default of None will store the index as a column, except for RangeIndex which is stored as metadata only. Use ``preserve_index=True`` to force it to be stored as a column. nthreads : int, default None If greater than 1, convert columns to Arrow in parallel using indicated number of threads. By default, this follows :func:`pyarrow.cpu_count` (may use up to system CPU count threads). columns : list, optional List of column to be converted. If None, use all columns. safe : bool, default True Check for overflows or other unsafe conversions. Returns ------- Table Examples -------- >>> import pyarrow as pa >>> import pandas as pd >>> df = pd.DataFrame({'n_legs': [2, 4, 5, 100], ... 'animals': ["Flamingo", "Horse", "Brittle stars", "Centipede"]}) >>> pa.Table.from_pandas(df) pyarrow.Table n_legs: int64 animals: large_string ---- n_legs: [[2,4,5,100]] animals: [["Flamingo","Horse","Brittle stars","Centipede"]]null() Create instance of null type. Examples -------- Create an instance of a null type: >>> import pyarrow as pa >>> pa.null() DataType(null) >>> print(pa.null()) null Create a ``Field`` type with a null type and a name: >>> pa.field('null_field', pa.null()) pyarrow.FieldArrayStatistics.__setstate_cython__(self, __pyx_state)get_record_batch_size(RecordBatch batch) Return total size of serialized RecordBatch including metadata and padding. Parameters ---------- batch : RecordBatch The recordbatch for which we want to know the size.StringScalar.as_py(self, *, maps_as_pydicts=None) Return this value as a Python string. Parameters ---------- maps_as_pydicts : str, optional, default `None` Valid values are `None`, 'lossy', or 'strict'. This parameter is ignored for non-nested Scalars.TimestampScalar.__repr__(self) Return the representation of TimestampScalar using `strftime` to avoid original repr datetime values being out of range.UnionArray.field(self, int pos) Return the given child field as an individual array. For sparse unions, the returned array has its offset, length, and null count adjusted. For dense unions, the returned array is unchanged. Parameters ---------- pos : int The physical index of the union child field (not its type code). Returns ------- field : Array The given child field._PandasConvertible.to_pandas(self, memory_pool=None, categories=None, bool strings_to_categorical=False, bool zero_copy_only=False, bool integer_object_nulls=False, bool date_as_object=True, bool timestamp_as_object=False, bool use_threads=True, bool deduplicate_objects=True, bool ignore_metadata=False, bool safe=True, bool split_blocks=False, bool self_destruct=False, str maps_as_pydicts=None, types_mapper=None, bool coerce_temporal_nanoseconds=False) Convert to a pandas-compatible NumPy array or DataFrame, as appropriate Parameters ---------- memory_pool : MemoryPool, default None Arrow MemoryPool to use for allocations. Uses the default memory pool if not passed. categories : list, default empty List of fields that should be returned as pandas.Categorical. Only applies to table-like data structures. strings_to_categorical : bool, default False Encode string (UTF8) and binary types to pandas.Categorical. zero_copy_only : bool, default False Raise an ArrowException if this function call would require copying the underlying data. integer_object_nulls : bool, default False Cast integers with nulls to objects date_as_object : bool, default True Cast dates to objects. If False, convert to datetime64 dtype with the equivalent time unit (if supported). Note: in pandas version < 2.0, only datetime64[ns] conversion is supported. timestamp_as_object : bool, default False Cast non-nanosecond timestamps (np.datetime64) to objects. This is useful in pandas version 1.x if you have timestamps that don't fit in the normal date range of nanosecond timestamps (1678 CE-2262 CE). Non-nanosecond timestamps are supported in pandas version 2.0. If False, all timestamps are converted to datetime64 dtype. use_threads : bool, default True Whether to parallelize the conversion using multiple threads. deduplicate_objects : bool, default True Do not create multiple copies Python objects when created, to save on memory use. Conversion will be slower. ignore_metadata : bool, default False If True, do not use the 'pandas' metadata to reconstruct the DataFrame index, if present safe : bool, default True For certain data types, a cast is needed in order to store the data in a pandas DataFrame or Series (e.g. timestamps are always stored as nanoseconds in pandas). This option controls whether it is a safe cast or not. split_blocks : bool, default False If True, generate one internal "block" for each column when creating a pandas.DataFrame from a RecordBatch or Table. While this can temporarily reduce memory note that various pandas operations can trigger "consolidation" which may balloon memory use. self_destruct : bool, default False EXPERIMENTAL: If True, attempt to deallocate the originating Arrow memory while converting the Arrow object to pandas. If you use the object after calling to_pandas with this option it will crash your program. Note that you may not see always memory usage improvements. For example, if multiple columns share an underlying allocation, memory can't be freed until all columns are converted. maps_as_pydicts : str, optional, default `None` Valid values are `None`, 'lossy', or 'strict'. The default behavior (`None`), is to convert Arrow Map arrays to Python association lists (list-of-tuples) in the same order as the Arrow Map, as in [(key1, value1), (key2, value2), ...]. If 'lossy' or 'strict', convert Arrow Map arrays to native Python dicts. This can change the ordering of (key, value) pairs, and will deduplicate multiple keys, resulting in a possible loss of data. If 'lossy', this key deduplication results in a warning printed when detected. If 'strict', this instead results in an exception being raised when detected. types_mapper : function, default None A function mapping a pyarrow DataType to a pandas ExtensionDtype. This can be used to override the default pandas type for conversion of built-in pyarrow types or in absence of pandas_metadata in the Table schema. The function receives a pyarrow DataType and is expected to return a pandas ExtensionDtype or ``None`` if the default conversion should be used for that type. If you have a dictionary mapping, you can pass ``dict.get`` as function. coerce_temporal_nanoseconds : bool, default False Only applicable to pandas version >= 2.0. A legacy option to coerce date32, date64, duration, and timestamp time units to nanoseconds when converting to pandas. This is the default behavior in pandas version 1.x. Set this option to True if you'd like to use this coercion when using pandas version >= 2.0 for backwards compatibility (not recommended otherwise). Returns ------- pandas.Series or pandas.DataFrame depending on type of object Examples -------- >>> import pyarrow as pa >>> import pandas as pd Convert a Table to pandas DataFrame: >>> table = pa.table([ ... pa.array([2, 4, 5, 100]), ... pa.array(["Flamingo", "Horse", "Brittle stars", "Centipede"]) ... ], names=['n_legs', 'animals']) >>> table.to_pandas() n_legs animals 0 2 Flamingo 1 4 Horse 2 5 Brittle stars 3 100 Centipede >>> isinstance(table.to_pandas(), pd.DataFrame) True Convert a RecordBatch to pandas DataFrame: >>> import pyarrow as pa >>> n_legs = pa.array([2, 4, 5, 100]) >>> animals = pa.array(["Flamingo", "Horse", "Brittle stars", "Centipede"]) >>> batch = pa.record_batch([n_legs, animals], ... names=["n_legs", "animals"]) >>> batch pyarrow.RecordBatch n_legs: int64 animals: string ---- n_legs: [2,4,5,100] animals: ["Flamingo","Horse","Brittle stars","Centipede"] >>> batch.to_pandas() n_legs animals 0 2 Flamingo 1 4 Horse 2 5 Brittle stars 3 100 Centipede >>> isinstance(batch.to_pandas(), pd.DataFrame) True Convert a Chunked Array to pandas Series: >>> import pyarrow as pa >>> n_legs = pa.chunked_array([[2, 2, 4], [4, 5, 100]]) >>> n_legs.to_pandas() 0 2 1 2 2 4 3 4 4 5 5 100 dtype: int64 >>> isinstance(n_legs.to_pandas(), pd.Series) TrueChunkedArray.__reduce__(self)ChunkedArray._import_from_c_capsule(stream) Import ChunkedArray from a C ArrowArrayStream PyCapsule. Parameters ---------- stream: PyCapsule A capsule containing a C ArrowArrayStream PyCapsule. Returns ------- ChunkedArrayKeyValueMetadata.values(self)Message.equals(self, Message other) Returns True if the message contents (metadata and body) are identical Parameters ---------- other : Message Returns ------- are_equal : boolNativeFile.fileno(self) NOT IMPLEMENTED_PandasAPIShim.__setstate_cython__(self, __pyx_state)arrow_device_arrayHalfFloatScalar.as_py(self, *, maps_as_pydicts=None) Return this value as a Python float. Parameters ---------- maps_as_pydicts : str, optional, default `None` Valid values are `None`, 'lossy', or 'strict'. This parameter is ignored for non-nested Scalars.UnknownExtensionType.__arrow_ext_serialize__(self)StructType.__getitem__(self, i) Return the struct field with the given index or name. Alias of ``field``.Array.__dlpack_device__(self) Return the DLPack device tuple this arrays resides on. Returns ------- tuple : Tuple[int, int] Tuple with index specifying the type of the device (where CPU = 1, see cpp/src/arrow/c/dpack_abi.h) and index of the device which is 0 by default for CPU.KeyValueMetadata.get_all(self, key) Parameters ---------- key : str Returns ------- list[byte]Message.serialize_to(self, NativeFile sink, alignment=8, memory_pool=None) Write message to generic OutputStream Parameters ---------- sink : NativeFile alignment : int, default 8 Byte alignment for metadata and body memory_pool : MemoryPool, default None Uses default memory pool if not specifiedBaseExtensionType.__arrow_ext_scalar_class__(self) The associated scalar classBufferedOutputStream.detach(self) Flush any buffered writes and release the raw OutputStream. Further operations on this stream are invalid. Returns ------- raw : NativeFile The underlying raw output stream.Message.__setstate_cython__(self, __pyx_state)Table.__sizeof__(self)00010203040506070809101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899DictionaryArray.from_arrays(indices, dictionary, mask=None, bool ordered=False, bool from_pandas=False, bool safe=True, MemoryPool memory_pool=None) Construct a DictionaryArray from indices and values. Parameters ---------- indices : pyarrow.Array, numpy.ndarray or pandas.Series, int type Non-negative integers referencing the dictionary values by zero based index. dictionary : pyarrow.Array, ndarray or pandas.Series The array of values referenced by the indices. mask : ndarray or pandas.Series, bool type True values indicate that indices are actually null. ordered : bool, default False Set to True if the category values are ordered. from_pandas : bool, default False If True, the indices should be treated as though they originated in a pandas.Categorical (null encoded as -1). safe : bool, default True If True, check that the dictionary indices are in range. memory_pool : MemoryPool, default None For memory allocations, if required, otherwise uses default pool. Returns ------- dict_array : DictionaryArrayNativeFile._download_nothreads(self, stream_or_path, buffer_size=None) Internal method to do a download without separate threads, queues etc. Called by download above if is_threading_enabled() == False_gdb_test_session()SparseCSCMatrix.to_tensor(self) Convert arrow::SparseCSCMatrix to arrow::Tensor_ndarray_to_arrow_type(values, DataType type)_from_pydict(cls, mapping, schema, metadata) Construct a Table/RecordBatch from Arrow arrays or columns. Parameters ---------- cls : Class Table/RecordBatch mapping : dict or Mapping A mapping of strings to Arrays or Python lists. schema : Schema, default None If not passed, will be inferred from the Mapping values. metadata : dict or Mapping, default None Optional metadata for the schema (if inferred). Returns ------- Table/RecordBatch_RecordBatchStreamReader.__reduce_cython__(self)RecordBatch.cast(self, Schema target_schema, safe=None, options=None) Cast record batch values to another schema. Parameters ---------- target_schema : Schema Schema to cast to, the names and order of fields must match. safe : bool, default True Check for overflows or other unsafe conversions. options : CastOptions, default None Additional checks pass by CastOptions Returns ------- RecordBatch Examples -------- >>> import pyarrow as pa >>> batch = pa.RecordBatch.from_arrays( ... [[2, 4, 5, 100], ["Flamingo", "Horse", "Brittle stars", "Centipede"]], ... names=['n_legs', 'animals']) >>> batch.schema n_legs: int64 animals: string Define new schema and cast batch values: >>> my_schema = pa.schema([ ... pa.field('n_legs', pa.duration('s')), ... pa.field('animals', pa.string())] ... ) >>> batch.cast(target_schema=my_schema) pyarrow.RecordBatch n_legs: duration[s] animals: string ---- n_legs: [2,4,5,100] animals: ["Flamingo","Horse","Brittle stars","Centipede"]ListScalar.__len__(self) Return the number of values. ExtensionType.__arrow_ext_scalar_class__(self) Return an extension scalar class for building scalars with this extension type. This method should return subclass of the ExtensionScalar class. By default, if not specialized in the extension implementation, an extension type scalar will be a built-in ExtensionScalar instance.Bool8Array.to_numpy(self, zero_copy_only=True, writable=False) Return a NumPy bool view or copy of this array. By default, tries to return a view of this array. This is only supported for arrays without any nulls. Parameters ---------- zero_copy_only : bool, default True If True, an exception will be raised if the conversion to a numpy array would require copying the underlying data (e.g. in presence of nulls). writable : bool, default False For numpy arrays created with zero copy (view on the Arrow data), the resulting array is not writable (Arrow data is immutable). By setting this to True, a copy of the array is made to ensure it is writable. Returns ------- array : numpy.ndarrayproxy_memory_pool(MemoryPool parent) Create and return a MemoryPool instance that redirects to the *parent*, but with separate allocation statistics. Parameters ---------- parent : MemoryPool The real memory pool that should be used for allocations._CRecordBatchWriter.close(self) Close stream and write end-of-stream 0 marker.RecordBatch.__reduce__(self)UuidScalar.as_py(self, *, maps_as_pydicts=None) Return this scalar as a Python UUID. Parameters ---------- maps_as_pydicts : str, optional, default `None` Valid values are `None`, 'lossy', or 'strict'. This parameter is ignored for non-nested Scalars.Table.from_batches(batches, Schema schema=None) Construct a Table from a sequence or iterator of Arrow RecordBatches. Parameters ---------- batches : sequence or iterator of RecordBatch Sequence of RecordBatch to be converted, all schemas must be equal. schema : Schema, default None If not passed, will be inferred from the first RecordBatch. Returns ------- Table Examples -------- >>> import pyarrow as pa >>> n_legs = pa.array([2, 4, 5, 100]) >>> animals = pa.array(["Flamingo", "Horse", "Brittle stars", "Centipede"]) >>> names = ["n_legs", "animals"] >>> batch = pa.record_batch([n_legs, animals], names=names) >>> batch.to_pandas() n_legs animals 0 2 Flamingo 1 4 Horse 2 5 Brittle stars 3 100 Centipede Construct a Table from a RecordBatch: >>> pa.Table.from_batches([batch]) pyarrow.Table n_legs: int64 animals: string ---- n_legs: [[2,4,5,100]] animals: [["Flamingo","Horse","Brittle stars","Centipede"]] Construct a Table from a sequence of RecordBatches: >>> pa.Table.from_batches([batch, batch]) pyarrow.Table n_legs: int64 animals: string ---- n_legs: [[2,4,5,100],[2,4,5,100]] animals: [["Flamingo","Horse","Brittle stars","Centipede"],["Flamingo","Horse","Brittle stars","Centipede"]]ExtensionType.__reduce__(self)_PandasAPIShim.series(self, *args, **kwargs)DataType.__arrow_c_schema__(self) Export to a ArrowSchema PyCapsule Unlike _export_to_c, this will not leak memory if the capsule is not used.Array.buffers(self) Return a list of Buffer objects pointing to this array's physical storage. To correctly interpret these buffers, you need to also apply the offset multiplied with the size of the stored data type.LoggingMemoryPool.__setstate_cython__(self, __pyx_state)FixedSizeListArray.from_arrays(values, list_size=None, DataType type=None, mask=None) Construct FixedSizeListArray from array of values and a list length. Parameters ---------- values : Array (any type) list_size : int The fixed length of the lists. type : DataType, optional If not specified, a default ListType with the values' type and `list_size` length is used. mask : Array (boolean type), optional Indicate which values are null (True) or not null (False). Returns ------- FixedSizeListArray Examples -------- Create from a values array and a list size: >>> import pyarrow as pa >>> values = pa.array([1, 2, 3, 4]) >>> arr = pa.FixedSizeListArray.from_arrays(values, 2) >>> arr [ [ 1, 2 ], [ 3, 4 ] ] Or create from a values array, list size and matching type: >>> typ = pa.list_(pa.field("values", pa.int64()), 2) >>> arr = pa.FixedSizeListArray.from_arrays(values,type=typ) >>> arr [ [ 1, 2 ], [ 3, 4 ] ]BaseExtensionType.__arrow_ext_class__(self) The associated array extension classFixedShapeTensorScalar.to_numpy(self) Convert fixed shape tensor scalar to a numpy.ndarray. The resulting ndarray's shape matches the permuted shape of the fixed shape tensor scalar. The conversion is zero-copy. Returns ------- numpy.ndarray_RecordBatchStreamReader.__setstate_cython__(self, __pyx_state)_reconstruct_table(arrays, schema) Internal: reconstruct pa.Table from pickled components.UnionArray.from_dense(Array types, Array value_offsets, list children, list field_names=None, list type_codes=None) Construct dense UnionArray from arrays of int8 types, int32 offsets and children arrays Parameters ---------- types : Array (int8 type) value_offsets : Array (int32 type) children : list field_names : list type_codes : list Returns ------- union_array : UnionArrayTable._to_pandas(self, options, categories=None, ignore_metadata=False, types_mapper=None)MemoryPool.max_memory(self) Return the peak memory allocation in this memory pool. This can be an approximate number in multi-threaded applications. None is returned if the pool implementation doesn't know how to compute this number.KeyValueMetadata.equals(self, KeyValueMetadata other) Parameters ---------- other : pyarrow.KeyValueMetadata Returns ------- boolmimalloc_memory_pool() Return a memory pool based on the mimalloc heap. NotImplementedError is raised if mimalloc support is not enabled.table_to_blocks(options, Table table, categories, extension_columns)py_buffer(obj) Construct an Arrow buffer from a Python bytes-like or buffer-like object Parameters ---------- obj : object the object from which the buffer should be constructed.Schema.field(self, i) Select a field by its column name or numeric index. Parameters ---------- i : int or string Returns ------- pyarrow.Field Examples -------- >>> import pyarrow as pa >>> schema = pa.schema([ ... pa.field('n_legs', pa.int64()), ... pa.field('animals', pa.string())]) Select the second field: >>> schema.field(1) pyarrow.Field Select the field of the column named 'n_legs': >>> schema.field('n_legs') pyarrow.FieldUnionType.__getitem__(self, i) Return a child field by its index. Alias of ``field``.SparseCSCMatrix.equals(self, SparseCSCMatrix other) Return true if sparse tensors contains exactly equal data Parameters ---------- other : SparseCSCMatrix The other tensor to compare for equality.Date32Scalar.as_py(self, *, maps_as_pydicts=None) Return this value as a Python datetime.datetime instance. Parameters ---------- maps_as_pydicts : str, optional, default `None` Valid values are `None`, 'lossy', or 'strict'. This parameter is ignored for non-nested Scalars.ProxyMemoryPool.__reduce_cython__(self)UnionArray.child(self, int pos) DEPRECATED, use field() instead. Parameters ---------- pos : int The physical index of the union child field (not its type code). Returns ------- field : pyarrow.Field The given child field.decompress(buf, decompressed_size=None, codec='lz4', asbytes=False, memory_pool=None) Decompress data from buffer-like object. Parameters ---------- buf : pyarrow.Buffer, bytes, or memoryview-compatible object Input object to decompress data from. decompressed_size : int, default None Size of the decompressed result codec : str, default 'lz4' Compression codec. Supported types: {'brotli, 'gzip', 'lz4', 'lz4_raw', 'snappy', 'zstd'} asbytes : bool, default False Return result as Python bytes object, otherwise Buffer. memory_pool : MemoryPool, default None Memory pool to use for buffer allocations, if any. Returns ------- uncompressed : pyarrow.Buffer or bytes (if asbytes=True)Bool8Scalar.as_py(self, *, maps_as_pydicts=None) Return this scalar as a Python object. Parameters ---------- maps_as_pydicts : str, optional, default `None` Valid values are `None`, 'lossy', or 'strict'. This parameter is ignored for non-nested Scalars.Device.__reduce_cython__(self)BufferedOutputStream.__setstate_cython__(self, __pyx_state)Array.filter(self, mask, *, null_selection_behavior='drop') Select values from an array. See :func:`pyarrow.compute.filter` for full usage. Parameters ---------- mask : Array or array-like The boolean mask to filter the array with. null_selection_behavior : str, default "drop" How nulls in the mask should be handled. Returns ------- filtered : Array An array of the same type, with only the elements selected by the boolean mask._Tabular.__dataframe__(self, bool nan_as_null: bool = False, bool allow_copy: bool = True) Return the dataframe interchange object implementing the interchange protocol. Parameters ---------- nan_as_null : bool, default False Whether to tell the DataFrame to overwrite null values in the data with ``NaN`` (or ``NaT``). allow_copy : bool, default True Whether to allow memory copying when exporting. If set to False it would cause non-zero-copy exports to fail. Returns ------- DataFrame interchange object The object which consuming library can use to ingress the dataframe. Notes ----- Details on the interchange protocol: https://data-apis.org/dataframe-protocol/latest/index.html `nan_as_null` currently has no effect; once support for nullable extension dtypes is added, this value should be propagated to columns.SparseCOOTensor.__reduce_cython__(self)BufferedInputStream.__setstate_cython__(self, __pyx_state)_Tabular.drop_columns(self, columns) Drop one or more columns and return a new Table or RecordBatch. Parameters ---------- columns : str or list[str] Field name(s) referencing existing column(s). Raises ------ KeyError If any of the passed column names do not exist. Returns ------- Table or RecordBatch A tabular object without the column(s). Examples -------- Table (works similarly for RecordBatch) >>> import pyarrow as pa >>> import pandas as pd >>> df = pd.DataFrame({'n_legs': [2, 4, 5, 100], ... 'animals': ["Flamingo", "Horse", "Brittle stars", "Centipede"]}) >>> table = pa.Table.from_pandas(df) Drop one column: >>> table.drop_columns("animals") pyarrow.Table n_legs: int64 ---- n_legs: [[2,4,5,100]] Drop one or more columns: >>> table.drop_columns(["n_legs", "animals"]) pyarrow.Table ... ----NativeFile.writelines(self, lines) Write lines to the file. Parameters ---------- lines : iterable Iterable of bytes-like objects or exporters of buffer protocol_Tabular.__getitem__(self, key) Slice or return column at given index or column name Parameters ---------- key : integer, str, or slice Slices with step not equal to 1 (or None) will produce a copy rather than a zero-copy view Returns ------- Array (from RecordBatch) or ChunkedArray (from Table) for column input. RecordBatch or Table for slice input.BufferedInputStream.__reduce_cython__(self)ResizableBuffer.resize(self, int64_t new_size, shrink_to_fit=False) Resize buffer to indicated size. Parameters ---------- new_size : int New size of buffer (padding may be added internally). shrink_to_fit : bool, default False If this is true, the buffer is shrunk when new_size is less than the current size. If this is false, the buffer is never shrunk.ExtensionType.__arrow_ext_serialize__(self) Serialized representation of metadata to reconstruct the type object. This method should return a bytes object, and those serialized bytes are stored in the custom metadata of the Field holding an extension type in an IPC message. The bytes are passed to ``__arrow_ext_deserialize`` and should hold sufficient information to reconstruct the data type instance.MemoryPool.num_allocations(self) Return the number of allocations or reallocations that were made using this memory pool.NativeFile.write(self, data) Write data to the file. Parameters ---------- data : bytes-like object or exporter of buffer protocol Returns ------- int nbytes: number of bytes writtenFixedSizeBufferWriter.set_memcopy_threshold(self, int64_t threshold) Parameters ---------- threshold : int64Table.drop(self, columns) Drop one or more columns and return a new table. Alias of Table.drop_columns, but kept for backwards compatibility. Parameters ---------- columns : str or list[str] Field name(s) referencing existing column(s). Returns ------- Table New table without the column(s).Field.equals(self, Field other, bool check_metadata=False) Test if this field is equal to the other Parameters ---------- other : pyarrow.Field check_metadata : bool, default False Whether Field metadata equality should be checked as well. Returns ------- is_equal : bool Examples -------- >>> import pyarrow as pa >>> f1 = pa.field('key', pa.int32()) >>> f2 = pa.field('key', pa.int32(), nullable=False) >>> f1.equals(f2) False >>> f1.equals(f1) TrueDictionaryMemo.__reduce_cython__(self)Codec.is_available(str compression) Returns whether the compression support has been built and enabled. Parameters ---------- compression : str Type of compression codec, refer to Codec docstring for a list of supported ones. Returns ------- boolStringViewBuilder.finish(self) Return result of builder as an Array object; also resets the builder. Returns ------- array : pyarrow.Arraylist_(value_type, int list_size=-1) Create ListType instance from child data type or field. Parameters ---------- value_type : DataType or Field list_size : int, optional, default -1 If length == -1 then return a variable length list type. If length is greater than or equal to 0 then return a fixed size list type. Returns ------- list_type : DataType Examples -------- Create an instance of ListType: >>> import pyarrow as pa >>> pa.list_(pa.string()) ListType(list) >>> pa.list_(pa.int32(), 2) FixedSizeListType(fixed_size_list[2]) Use the ListType to create a scalar: >>> pa.scalar(['foo', None], type=pa.list_(pa.string(), 2)) or an array: >>> pa.array([[1, 2], [3, 4]], pa.list_(pa.int32(), 2)) [ [ 1, 2 ], [ 3, 4 ] ]Table.__reduce__(self)Table.group_by(self, keys, use_threads=True) Declare a grouping over the columns of the table. Resulting grouping can then be used to perform aggregations with a subsequent ``aggregate()`` method. Parameters ---------- keys : str or list[str] Name of the columns that should be used as the grouping key. use_threads : bool, default True Whether to use multithreading or not. When set to True (the default), no stable ordering of the output is guaranteed. Returns ------- TableGroupBy See Also -------- TableGroupBy.aggregate Examples -------- >>> import pyarrow as pa >>> table = pa.table({'year': [2020, 2022, 2021, 2022, 2019, 2021], ... 'n_legs': [2, 2, 4, 4, 5, 100], ... 'animal': ["Flamingo", "Parrot", "Dog", "Horse", ... "Brittle stars", "Centipede"]}) >>> table.group_by('year').aggregate([('n_legs', 'sum')]) pyarrow.Table year: int64 n_legs_sum: int64 ---- year: [[2020,2022,2021,2019]] n_legs_sum: [[2,6,104,5]]StringBuilder.finish(self) Return result of builder as an Array object; also resets the builder. Returns ------- array : pyarrow.Array_Tabular.filter(self, mask, null_selection_behavior='drop') Select rows from the table or record batch based on a boolean mask. The Table can be filtered based on a mask, which will be passed to :func:`pyarrow.compute.filter` to perform the filtering, or it can be filtered through a boolean :class:`.Expression` Parameters ---------- mask : Array or array-like or .Expression The boolean mask or the :class:`.Expression` to filter the table with. null_selection_behavior : str, default "drop" How nulls in the mask should be handled, does nothing if an :class:`.Expression` is used. Returns ------- filtered : Table or RecordBatch A tabular object of the same schema, with only the rows selected by applied filtering Examples -------- Using a Table (works similarly for RecordBatch): >>> import pyarrow as pa >>> table = pa.table({'year': [2020, 2022, 2019, 2021], ... 'n_legs': [2, 4, 5, 100], ... 'animals': ["Flamingo", "Horse", "Brittle stars", "Centipede"]}) Define an expression and select rows: >>> import pyarrow.compute as pc >>> expr = pc.field("year") <= 2020 >>> table.filter(expr) pyarrow.Table year: int64 n_legs: int64 animals: string ---- year: [[2020,2019]] n_legs: [[2,5]] animals: [["Flamingo","Brittle stars"]] Define a mask and select rows: >>> mask=[True, True, False, None] >>> table.filter(mask) pyarrow.Table year: int64 n_legs: int64 animals: string ---- year: [[2020,2022]] n_legs: [[2,4]] animals: [["Flamingo","Horse"]] >>> table.filter(mask, null_selection_behavior='emit_null') pyarrow.Table year: int64 n_legs: int64 animals: string ---- year: [[2020,2022,null]] n_legs: [[2,4,null]] animals: [["Flamingo","Horse",null]]OSFile.__reduce_cython__(self)BaseListArray.value_lengths(self) Return integers array with values equal to the respective length of each list element. Null list values are null in the output. Examples -------- >>> import pyarrow as pa >>> arr = pa.array([[1, 2, 3], [], None, [4]], ... type=pa.list_(pa.int32())) >>> arr.value_lengths() [ 3, 0, null, 1 ]ensure_metadata(meta, bool allow_none=False) -> KeyValueMetadataas_buffer(o)Tensor.__reduce_cython__(self)RunEndEncodedScalar.as_py(self, *, maps_as_pydicts=None) Return underlying value as a Python object. Parameters ---------- maps_as_pydicts : str, optional, default `None` Valid values are `None`, 'lossy', or 'strict'. The default behavior (`None`), is to convert Arrow Map arrays to Python association lists (list-of-tuples) in the same order as the Arrow Map, as in [(key1, value1), (key2, value2), ...]. If 'lossy' or 'strict', convert Arrow Map arrays to native Python dicts. If 'lossy', whenever duplicate keys are detected, a warning will be printed. The last seen value of a duplicate key will be in the Python dictionary. If 'strict', this instead results in an exception being raised when detected.Array.drop_null(self) Remove missing values from an array.Array.__sizeof__(self)SparseCSFTensor.equals(self, SparseCSFTensor other) Return true if sparse tensors contains exactly equal data Parameters ---------- other : SparseCSFTensor The other tensor to compare for equality._CRecordBatchWriter.__reduce_cython__(self)arrow.bool8MemoryPool.bytes_allocated(self) Return the number of bytes that are currently allocated from this memory pool._RecordBatchStreamWriter._open(self, sink, Schema schema, IpcWriteOptions options=IpcWriteOptions())NativeFile._assert_seekable(self)MemoryPool.print_stats(self) Print statistics about this memory pool. The output format is implementation-specific. Not all memory pools implement this method.Schema.set(self, int i, Field field) Replace a field at position i in the schema. Parameters ---------- i : int field : Field Returns ------- schema: Schema Examples -------- >>> import pyarrow as pa >>> schema = pa.schema([ ... pa.field('n_legs', pa.int64()), ... pa.field('animals', pa.string())]) Replace the second field of the schema with a new field 'extra': >>> schema.set(1, pa.field('replaced', pa.bool_())) n_legs: int64 replaced: boolSparseCSRMatrix.to_numpy(self) Convert arrow::SparseCSRMatrix to numpy.ndarrays with zero copy._from_pylist(cls, mapping, schema, metadata) Construct a Table/RecordBatch from list of rows / dictionaries. Parameters ---------- cls : Class Table/RecordBatch mapping : list of dicts of rows A mapping of strings to row values. schema : Schema, default None If not passed, will be inferred from the first row of the mapping values. metadata : dict or Mapping, default None Optional metadata for the schema (if inferred). Returns ------- Table/RecordBatchNativeFile.truncate(self) NOT IMPLEMENTEDdictionary(index_type, value_type, bool ordered=False) -> DictionaryType Dictionary (categorical, or simply encoded) type. Parameters ---------- index_type : DataType value_type : DataType ordered : bool Returns ------- type : DictionaryType Examples -------- Create an instance of dictionary type: >>> import pyarrow as pa >>> pa.dictionary(pa.int64(), pa.utf8()) DictionaryType(dictionary) Use dictionary type to create an array: >>> pa.array(["a", "b", None, "d"], pa.dictionary(pa.int64(), pa.utf8())) ... -- dictionary: [ "a", "b", "d" ] -- indices: [ 0, 1, null, 2 ]Codec.decompress(self, buf, decompressed_size=None, asbytes=False, memory_pool=None) Decompress data from buffer-like object. Parameters ---------- buf : pyarrow.Buffer, bytes, or memoryview-compatible object decompressed_size : int, default None Size of the decompressed result asbytes : boolean, default False Return result as Python bytes object, otherwise Buffer memory_pool : MemoryPool, default None Memory pool to use for buffer allocations, if any. Returns ------- uncompressed : pyarrow.Buffer or bytes (if asbytes=True)_CRecordBatchWriter.write(self, table_or_batch) Write RecordBatch or Table to stream. Parameters ---------- table_or_batch : {RecordBatch, Table}set_cpu_count(int count) Set the number of threads to use in parallel operations. Parameters ---------- count : int The number of concurrent threads that should be used. See Also -------- cpu_count : Get the size of this pool. set_io_thread_count : The analogous function for the I/O thread pool.TimestampScalar.as_py(self, *, maps_as_pydicts=None) Return this value as a Pandas Timestamp instance (if units are nanoseconds and pandas is available), otherwise as a Python datetime.datetime instance. Parameters ---------- maps_as_pydicts : str, optional, default `None` Valid values are `None`, 'lossy', or 'strict'. This parameter is ignored for non-nested Scalars.schema(fields, metadata=None) Construct pyarrow.Schema from collection of fields. Parameters ---------- fields : iterable of Fields or tuples, or mapping of strings to DataTypes Can also pass an object that implements the Arrow PyCapsule Protocol for schemas (has an ``__arrow_c_schema__`` method). metadata : dict, default None Keys and values must be coercible to bytes. Examples -------- Create a Schema from iterable of tuples: >>> import pyarrow as pa >>> pa.schema([ ... ('some_int', pa.int32()), ... ('some_string', pa.string()), ... pa.field('some_required_string', pa.string(), nullable=False) ... ]) some_int: int32 some_string: string some_required_string: string not null Create a Schema from iterable of Fields: >>> pa.schema([ ... pa.field('some_int', pa.int32()), ... pa.field('some_string', pa.string()) ... ]) some_int: int32 some_string: string DataTypes can also be passed as strings. The following is equivalent to the above example: >>> pa.schema([ ... pa.field('some_int', "int32"), ... pa.field('some_string', "string") ... ]) some_int: int32 some_string: string Or more concisely: >>> pa.schema([ ... ('some_int', "int32"), ... ('some_string', "string") ... ]) some_int: int32 some_string: string Returns ------- schema : pyarrow.SchemaBaseExtensionType.wrap_array(self, storage) Wrap the given storage array as an extension array. Parameters ---------- storage : Array or ChunkedArray Returns ------- array : Array or ChunkedArray Extension array wrapping the storage arrayNativeFile.readall(self)BufferReader.__reduce_cython__(self)RecordBatch._import_from_c_device_capsule(schema_capsule, array_capsule) Import RecordBatch from a pair of PyCapsules containing a C ArrowSchema and ArrowDeviceArray, respectively. Parameters ---------- schema_capsule : PyCapsule A PyCapsule containing a C ArrowSchema representation of the schema. array_capsule : PyCapsule A PyCapsule containing a C ArrowDeviceArray representation of the array. Returns ------- pyarrow.RecordBatchRecordBatch.__arrow_c_array__(self, requested_schema=None) Get a pair of PyCapsules containing a C ArrowArray representation of the object. Parameters ---------- requested_schema : PyCapsule | None A PyCapsule containing a C ArrowSchema representation of a requested schema. PyArrow will attempt to cast the batch to this schema. If None, the batch will be returned as-is, with a schema matching the one returned by :meth:`__arrow_c_schema__()`. Returns ------- Tuple[PyCapsule, PyCapsule] A pair of PyCapsules containing a C ArrowSchema and ArrowArray, respectively.RecordBatch.set_column(self, int i, field_, column) Replace column in RecordBatch at position. Parameters ---------- i : int Index to place the column at. field_ : str or Field If a string is passed then the type is deduced from the column data. column : Array or value coercible to array Column data. Returns ------- RecordBatch New record batch with the passed column set. Examples -------- >>> import pyarrow as pa >>> batch = pa.RecordBatch.from_arrays( ... [[2, 4, 5, 100], ["Flamingo", "Horse", "Brittle stars", "Centipede"]], ... names=['n_legs', 'animals']) Replace a column: >>> year = [2021, 2022, 2019, 2021] >>> batch.set_column(1,'year', year) pyarrow.RecordBatch n_legs: int64 year: int64 ---- n_legs: [2,4,5,100] year: [2021,2022,2019,2021]Int64Scalar.as_py(self, *, maps_as_pydicts=None) Return this value as a Python int. Parameters ---------- maps_as_pydicts : str, optional, default `None` Valid values are `None`, 'lossy', or 'strict'. This parameter is ignored for non-nested Scalars.NativeFile.readline(self, size=None) NOT IMPLEMENTED. Read and return a line of bytes from the file. If size is specified, read at most size bytes. Line terminator is always b"\n". Parameters ---------- size : int maximum number of bytes read_RecordBatchFileReader.get_batch(self, int i) Read the record batch with the given index. Parameters ---------- i : int The index of the record batch in the IPC file. Returns ------- batch : RecordBatchKeyValueMetadata.__reduce__(self)SparseCOOTensor.from_scipy(obj, dim_names=None) Convert scipy.sparse.coo_array or scipy.sparse.coo_matrix to arrow::SparseCOOTensor Parameters ---------- obj : scipy.sparse.coo_array or scipy.sparse.coo_matrix The scipy array or matrix that should be converted. dim_names : list, optional Names of the dimensions.Array.__getitem__(self, key) Slice or return value at given index Parameters ---------- key : integer or slice Slices with step not equal to 1 (or None) will produce a copy rather than a zero-copy view Returns ------- value : Scalar (index) or Array (slice)SparseCSFTensor.to_numpy(self) Convert arrow::SparseCSFTensor to numpy.ndarrays with zero copy_get_pandas_type_map()Array.from_buffers(DataType type, length, buffers, null_count=-1, offset=0, children=None) Construct an Array from a sequence of buffers. The concrete type returned depends on the datatype. Parameters ---------- type : DataType The value type of the array. length : int The number of values in the array. buffers : List[Buffer | None] The buffers backing this array. null_count : int, default -1 The number of null entries in the array. Negative value means that the null count is not known. offset : int, default 0 The array's logical offset (in values, not in bytes) from the start of each buffer. children : List[Array], default None Nested type children with length matching type.num_fields. Returns ------- array : ArrayTable.to_struct_array(self, max_chunksize=None) Convert to a chunked array of struct type. Parameters ---------- max_chunksize : int, default None Maximum number of rows for ChunkedArray chunks. Individual chunks may be smaller depending on the chunk layout of individual columns. Returns ------- ChunkedArrayMessage.__reduce_cython__(self)repeat(value, size, MemoryPool memory_pool=None) Create an Array instance whose slots are the given scalar. Parameters ---------- value : Scalar-like object Either a pyarrow.Scalar or any python object coercible to a Scalar. size : int Number of times to repeat the scalar in the output Array. memory_pool : MemoryPool, default None Arrow MemoryPool to use for allocations. Uses the default memory pool if not passed. Returns ------- arr : Array Examples -------- >>> import pyarrow as pa >>> pa.repeat(10, 3) [ 10, 10, 10 ] >>> pa.repeat([1, 2], 2) [ [ 1, 2 ], [ 1, 2 ] ] >>> pa.repeat("string", 3) [ "string", "string", "string" ] >>> pa.repeat(pa.scalar({'a': 1, 'b': [1, 2]}), 2) -- is_valid: all not null -- child 0 type: int64 [ 1, 1 ] -- child 1 type: list [ [ 1, 2 ], [ 1, 2 ] ]MemoryMappedFile.resize(self, new_size) Resize the map and underlying file. Parameters ---------- new_size : new size in bytesNativeFile.read_buffer(self, nbytes=None) Read from buffer. Parameters ---------- nbytes : int, optional maximum number of bytes readTransformInputStream.__reduce_cython__(self)UnionType.__reduce__(self)SparseCOOTensor.to_pydata_sparse(self) Convert arrow::SparseCOOTensor to pydata/sparse.COO.Table.to_reader(self, max_chunksize=None) Convert the Table to a RecordBatchReader. Note that this method is zero-copy, it merely exposes the same data under a different API. Parameters ---------- max_chunksize : int, default None Maximum number of rows for each RecordBatch chunk. Individual chunks may be smaller depending on the chunk layout of individual columns. Returns ------- RecordBatchReader Examples -------- >>> import pyarrow as pa >>> table = pa.table({'n_legs': [2, 4, 5, 100], ... 'animals': ["Flamingo", "Horse", "Brittle stars", "Centipede"]}) Convert a Table to a RecordBatchReader: >>> table.to_reader() >>> reader = table.to_reader() >>> reader.schema n_legs: int64 animals: string >>> reader.read_all() pyarrow.Table n_legs: int64 animals: string ---- n_legs: [[2,4,5,100]] animals: [["Flamingo","Horse","Brittle stars","Centipede"]]dltensorset_io_thread_count(int count) Set the number of threads to use for I/O operations. Many operations, such as scanning a dataset, will implicitly make use of this pool. Parameters ---------- count : int The max number of threads that may be used for I/O. Must be positive. See Also -------- io_thread_count : Get the size of this pool. set_cpu_count : The analogous function for the CPU thread pool.BufferOutputStream.__reduce_cython__(self)_ExtensionRegistryNanny.__setstate_cython__(self, __pyx_state)MessageReader.open_stream(source) Open stream from source, if you want to use memory map use MemoryMappedFile as source. Parameters ---------- source : bytes/buffer-like, pyarrow.NativeFile, or file-like Python object A readable source, like an InputStreamListType.__reduce__(self)NativeFile.close(self)RecordBatchReader.read_next_batch_with_custom_metadata(self) Read next RecordBatch from the stream along with its custom metadata. Raises ------ StopIteration: At end of stream. Returns ------- batch : RecordBatch custom_metadata : KeyValueMetadataBool8Type.__reduce__(self)DictionaryType.__reduce__(self)_PandasAPIShim.is_categorical(self, obj)NativeFile.__reduce_cython__(self)RunEndEncodedArray._from_arrays(type, allow_none_for_type, logical_length, run_ends, values, logical_offset)FixedSizeBufferWriter.__reduce_cython__(self)IpcWriteOptions.__reduce_cython__(self)Array.slice(self, offset=0, length=None) Compute zero-copy slice of this array. Parameters ---------- offset : int, default 0 Offset from start of array to slice. length : int, default None Length of slice (default is until end of Array starting from offset). Returns ------- sliced : Array An array with the same datatype, containing the sliced values.RecordBatch.serialize(self, memory_pool=None) Write RecordBatch to Buffer as encapsulated IPC message, which does not include a Schema. To reconstruct a RecordBatch from the encapsulated IPC message Buffer returned by this function, a Schema must be passed separately. See Examples. Parameters ---------- memory_pool : MemoryPool, default None Uses default memory pool if not specified Returns ------- serialized : Buffer Examples -------- >>> import pyarrow as pa >>> n_legs = pa.array([2, 2, 4, 4, 5, 100]) >>> animals = pa.array(["Flamingo", "Parrot", "Dog", "Horse", "Brittle stars", "Centipede"]) >>> batch = pa.RecordBatch.from_arrays([n_legs, animals], ... names=["n_legs", "animals"]) >>> buf = batch.serialize() >>> buf Reconstruct RecordBatch from IPC message Buffer and original Schema >>> pa.ipc.read_record_batch(buf, batch.schema) pyarrow.RecordBatch n_legs: int64 animals: string ---- n_legs: [2,2,4,4,5,100] animals: ["Flamingo","Parrot","Dog","Horse","Brittle stars","Centipede"]ExtensionType.__arrow_ext_deserialize__(cls, storage_type, serialized) Return an extension type instance from the storage type and serialized metadata. This method should return an instance of the ExtensionType subclass that matches the passed storage type and serialized metadata (the return value of ``__arrow_ext_serialize__``).time64(unit) Create instance of 64-bit time (time of day) type with unit resolution. Parameters ---------- unit : str One of 'us' [microsecond], or 'ns' [nanosecond]. Returns ------- type : pyarrow.Time64Type Examples -------- >>> import pyarrow as pa >>> pa.time64('us') Time64Type(time64[us]) >>> pa.time64('ns') Time64Type(time64[ns])Codec.__reduce_cython__(self)DurationScalar.as_py(self, *, maps_as_pydicts=None) Return this value as a Pandas Timedelta instance (if units are nanoseconds and pandas is available), otherwise as a Python datetime.timedelta instance. Parameters ---------- maps_as_pydicts : str, optional, default `None` Valid values are `None`, 'lossy', or 'strict'. This parameter is ignored for non-nested Scalars.timestamp(unit, tz=None) Create instance of timestamp type with resolution and optional time zone. Parameters ---------- unit : str one of 's' [second], 'ms' [millisecond], 'us' [microsecond], or 'ns' [nanosecond] tz : str, default None Time zone name. None indicates time zone naive Examples -------- Create an instance of timestamp type: >>> import pyarrow as pa >>> pa.timestamp('us') TimestampType(timestamp[us]) >>> pa.timestamp('s', tz='America/New_York') TimestampType(timestamp[s, tz=America/New_York]) >>> pa.timestamp('s', tz='+07:30') TimestampType(timestamp[s, tz=+07:30]) Use timestamp type when creating a scalar object: >>> from datetime import datetime >>> pa.scalar(datetime(2012, 1, 1), type=pa.timestamp('s', tz='UTC')) >>> pa.scalar(datetime(2012, 1, 1), type=pa.timestamp('us')) Returns ------- timestamp_type : TimestampTypeTable.get_total_buffer_size(self) The sum of bytes in each buffer referenced by the table. An array may only reference a portion of a buffer. This method will overestimate in this case and return the byte size of the entire buffer. If a buffer is referenced multiple times then it will only be counted once. Examples -------- >>> import pyarrow as pa >>> table = pa.table({'n_legs': [None, 4, 5, None], ... 'animals': ["Flamingo", "Horse", None, "Centipede"]}) >>> table.get_total_buffer_size() 76Tensor.equals(self, Tensor other) Return true if the tensors contains exactly equal data. Parameters ---------- other : Tensor The other tensor to compare for equality. Examples -------- >>> import pyarrow as pa >>> import numpy as np >>> x = np.array([[2, 2, 4], [4, 5, 100]], np.int32) >>> tensor = pa.Tensor.from_numpy(x, dim_names=["dim1","dim2"]) >>> y = np.array([[2, 2, 4], [4, 5, 10]], np.int32) >>> tensor2 = pa.Tensor.from_numpy(y, dim_names=["a","b"]) >>> tensor.equals(tensor) True >>> tensor.equals(tensor2) FalseListScalar.__iter__(self) Iterate over this element's values.ProxyMemoryPool.__setstate_cython__(self, __pyx_state)Decimal64Scalar.as_py(self, *, maps_as_pydicts=None) Return this value as a Python Decimal. Parameters ---------- maps_as_pydicts : str, optional, default `None` Valid values are `None`, 'lossy', or 'strict'. This parameter is ignored for non-nested Scalars.array(obj, type=None, mask=None, size=None, from_pandas=None, bool safe=True, MemoryPool memory_pool=None) Create pyarrow.Array instance from a Python object. Parameters ---------- obj : sequence, iterable, ndarray, pandas.Series, Arrow-compatible array If both type and size are specified may be a single use iterable. If not strongly-typed, Arrow type will be inferred for resulting array. Any Arrow-compatible array that implements the Arrow PyCapsule Protocol (has an ``__arrow_c_array__`` or ``__arrow_c_device_array__`` method) can be passed as well. type : pyarrow.DataType Explicit type to attempt to coerce to, otherwise will be inferred from the data. mask : array[bool], optional Indicate which values are null (True) or not null (False). size : int64, optional Size of the elements. If the input is larger than size bail at this length. For iterators, if size is larger than the input iterator this will be treated as a "max size", but will involve an initial allocation of size followed by a resize to the actual size (so if you know the exact size specifying it correctly will give you better performance). from_pandas : bool, default None Use pandas's semantics for inferring nulls from values in ndarray-like data. If passed, the mask tasks precedence, but if a value is unmasked (not-null), but still null according to pandas semantics, then it is null. Defaults to False if not passed explicitly by user, or True if a pandas object is passed in. safe : bool, default True Check for overflows or other unsafe conversions. memory_pool : pyarrow.MemoryPool, optional If not passed, will allocate memory from the currently-set default memory pool. Returns ------- array : pyarrow.Array or pyarrow.ChunkedArray A ChunkedArray instead of an Array is returned if: - the object data overflowed binary storage. - the object's ``__arrow_array__`` protocol method returned a chunked array. Notes ----- Timezone will be preserved in the returned array for timezone-aware data, else no timezone will be returned for naive timestamps. Internally, UTC values are stored for timezone-aware data with the timezone set in the data type. Pandas's DateOffsets and dateutil.relativedelta.relativedelta are by default converted as MonthDayNanoIntervalArray. relativedelta leapdays are ignored as are all absolute fields on both objects. datetime.timedelta can also be converted to MonthDayNanoIntervalArray but this requires passing MonthDayNanoIntervalType explicitly. Converting to dictionary array will promote to a wider integer type for indices if the number of distinct values cannot be represented, even if the index type was explicitly set. This means that if there are more than 127 values the returned dictionary array's index type will be at least pa.int16() even if pa.int8() was passed to the function. Note that an explicit index type will not be demoted even if it is wider than required. This class supports Python's standard operators for element-wise operations, i.e. arithmetic (`+`, `-`, `/`, `%`, `**`), bitwise (`&`, `|`, `^`, `>>`, `<<`) and others. They can be used directly instead of calling underlying `pyarrow.compute` functions explicitly. Examples -------- >>> import pandas as pd >>> import pyarrow as pa >>> pa.array(pd.Series([1, 2])) [ 1, 2 ] >>> pa.array(["a", "b", "a"], type=pa.dictionary(pa.int8(), pa.string())) ... -- dictionary: [ "a", "b" ] -- indices: [ 0, 1, 0 ] >>> import numpy as np >>> pa.array(pd.Series([1, 2]), mask=np.array([0, 1], dtype=bool)) [ 1, null ] >>> arr = pa.array(range(1024), type=pa.dictionary(pa.int8(), pa.int64())) >>> arr.type.index_type DataType(int16) >>> arr1 = pa.array([1, 2, 3], type=pa.int8()) >>> arr2 = pa.array([4, 5, 6], type=pa.int8()) >>> arr1 + arr2 [ 5, 7, 9 ] >>> val = pa.scalar(42) >>> val - arr1 [ 41, 40, 39 ]Table.cast(self, Schema target_schema, safe=None, options=None) Cast table values to another schema. Parameters ---------- target_schema : Schema Schema to cast to, the names and order of fields must match. safe : bool, default True Check for overflows or other unsafe conversions. options : CastOptions, default None Additional checks pass by CastOptions Returns ------- Table Examples -------- >>> import pyarrow as pa >>> table = pa.table({'n_legs': [2, 4, 5, 100], ... 'animals': ["Flamingo", "Horse", "Brittle stars", "Centipede"]}) >>> table.schema n_legs: int64 animals: string Define new schema and cast table values: >>> my_schema = pa.schema([ ... pa.field('n_legs', pa.duration('s')), ... pa.field('animals', pa.string())] ... ) >>> table.cast(target_schema=my_schema) pyarrow.Table n_legs: duration[s] animals: string ---- n_legs: [[2,4,5,100]] animals: [["Flamingo","Horse","Brittle stars","Centipede"]]have_libhdfs() Return true if HDFS (HadoopFileSystem) library is set up correctly.ChunkedArray.to_string(self, *, int indent=0, int window=5, int container_window=2, bool skip_new_lines=False, int element_size_limit=100) Render a "pretty-printed" string representation of the ChunkedArray Parameters ---------- indent : int How much to indent right the content of the array, by default ``0``. window : int How many items to preview within each chunk at the begin and end of the chunk when the chunk is bigger than the window. The other elements will be ellipsed. container_window : int How many chunks to preview at the begin and end of the array when the array is bigger than the window. The other elements will be ellipsed. This setting also applies to list columns. skip_new_lines : bool If the array should be rendered as a single line of text or if each element should be on its own line. element_size_limit : int, default 100 Maximum number of characters of a single element before it is truncated. Examples -------- >>> import pyarrow as pa >>> n_legs = pa.chunked_array([[2, 2, 4], [4, 5, 100]]) >>> n_legs.to_string(skip_new_lines=True) '[[2,2,4],[4,5,100]]'union(child_fields, mode, type_codes=None) Create UnionType from child fields. A union is a nested type where each logical value is taken from a single child. A buffer of 8-bit type ids indicates which child a given logical value is to be taken from. Unions come in two flavors: sparse and dense (see also `pyarrow.sparse_union` and `pyarrow.dense_union`). Parameters ---------- child_fields : sequence of Field values Each field must have a UTF8-encoded name, and these field names are part of the type metadata. mode : str Must be 'sparse' or 'dense' type_codes : list of integers, default None Returns ------- type : UnionTypeLargeStringArray.from_buffers(int length, Buffer value_offsets, Buffer data, Buffer null_bitmap=None, int null_count=-1, int offset=0) Construct a LargeStringArray from value_offsets and data buffers. If there are nulls in the data, also a null_bitmap and the matching null_count must be passed. Parameters ---------- length : int value_offsets : Buffer data : Buffer null_bitmap : Buffer, optional null_count : int, default 0 offset : int, default 0 Returns ------- string_array : StringArrayNativeFile._upload_nothreads(self, stream, buffer_size=None) Internal method to do an upload without separate threads, queues etc. Called by upload above if is_threading_enabled() == Falsedecimal64(int precision, int scale=0) -> DataType Create decimal type with precision and scale and 64-bit width. Arrow decimals are fixed-point decimal numbers encoded as a scaled integer. The precision is the number of significant digits that the decimal type can represent; the scale is the number of digits after the decimal point (note the scale can be negative). As an example, ``decimal64(7, 3)`` can exactly represent the numbers 1234.567 and -1234.567 (encoded internally as the 64-bit integers 1234567 and -1234567, respectively), but neither 12345.67 nor 123.4567. ``decimal64(5, -3)`` can exactly represent the number 12345000 (encoded internally as the 64-bit integer 12345), but neither 123450000 nor 1234500. If you need a precision higher than 18 significant digits, consider using ``decimal128``, or ``decimal256``. Parameters ---------- precision : int Must be between 1 and 18 scale : int Returns ------- decimal_type : Decimal64Type Examples -------- Create an instance of decimal type: >>> import pyarrow as pa >>> pa.decimal64(5, 2) Decimal64Type(decimal64(5, 2)) Create an array with decimal type: >>> import decimal >>> a = decimal.Decimal('123.45') >>> pa.array([a], pa.decimal64(5, 2)) [ 123.45 ]Scalar.as_py(self, *, maps_as_pydicts=None) Return this value as a Python representation. Parameters ---------- maps_as_pydicts : str, optional, default `None` Valid values are `None`, 'lossy', or 'strict'. The default behavior (`None`), is to convert Arrow Map arrays to Python association lists (list-of-tuples) in the same order as the Arrow Map, as in [(key1, value1), (key2, value2), ...]. If 'lossy' or 'strict', convert Arrow Map arrays to native Python dicts. If 'lossy', whenever duplicate keys are detected, a warning will be printed. The last seen value of a duplicate key will be in the Python dictionary. If 'strict', this instead results in an exception being raised when detected.Schema.__sizeof__(self)jemalloc_set_decay_ms(decay_ms) Set arenas.dirty_decay_ms and arenas.muzzy_decay_ms to indicated number of milliseconds. A value of 0 (the default) results in dirty / muzzy memory pages being released right away to the OS, while a higher value will result in a time-based decay. See the jemalloc docs for more information It's best to set this at the start of your application. Parameters ---------- decay_ms : int Number of milliseconds to set for jemalloc decay conf parameters. Note that this change will only affect future memory arenasdense_union(child_fields, type_codes=None) Create DenseUnionType from child fields. A dense union is a nested type where each logical value is taken from a single child, at a specific offset. A buffer of 8-bit type ids indicates which child a given logical value is to be taken from, and a buffer of 32-bit offsets indicates at which physical position in the given child array the logical value is to be taken from. Unlike a sparse union, a dense union allows encoding only the child array values which are actually referred to by the union array. This is counterbalanced by the additional footprint of the offsets buffer, and the additional indirection cost when looking up values. Parameters ---------- child_fields : sequence of Field values Each field must have a UTF8-encoded name, and these field names are part of the type metadata. type_codes : list of integers, default None Returns ------- type : DenseUnionTypescalar(value, type=None, *, from_pandas=None, MemoryPool memory_pool=None) Create a pyarrow.Scalar instance from a Python object. Parameters ---------- value : Any Python object coercible to arrow's type system. type : pyarrow.DataType Explicit type to attempt to coerce to, otherwise will be inferred from the value. from_pandas : bool, default None Use pandas's semantics for inferring nulls from values in ndarray-like data. Defaults to False if not passed explicitly by user, or True if a pandas object is passed in. memory_pool : pyarrow.MemoryPool, optional If not passed, will allocate memory from the currently-set default memory pool. Returns ------- scalar : pyarrow.Scalar Examples -------- >>> import pyarrow as pa >>> pa.scalar(42) >>> pa.scalar("string") >>> pa.scalar([1, 2]) >>> pa.scalar([1, 2], type=pa.list_(pa.int16())) output_stream(source, compression='detect', buffer_size=None) Create an Arrow output stream. Parameters ---------- source : str, Path, buffer, file-like object The source to open for writing. compression : str optional, default 'detect' The compression algorithm to use for on-the-fly compression. If "detect" and source is a file path, then compression will be chosen based on the file extension. If None, no compression will be applied. Otherwise, a well-known algorithm name must be supplied (e.g. "gzip"). buffer_size : int, default None If None or 0, no buffering will happen. Otherwise the size of the temporary write buffer. Examples -------- Create a writable NativeFile from a pyarrow Buffer: >>> import pyarrow as pa >>> data = b"buffer data" >>> empty_obj = bytearray(11) >>> buf = pa.py_buffer(empty_obj) >>> with pa.output_stream(buf) as stream: ... stream.write(data) ... 11 >>> with pa.input_stream(buf) as stream: ... stream.read(6) ... b'buffer' or from a memoryview object: >>> buf = memoryview(empty_obj) >>> with pa.output_stream(buf) as stream: ... stream.write(data) ... 11 >>> with pa.input_stream(buf) as stream: ... stream.read() ... b'buffer data' Create a writable NativeFile from a string or file path: >>> with pa.output_stream('example_second.txt') as stream: ... stream.write(b'Write some data') ... 15 >>> with pa.input_stream('example_second.txt') as stream: ... stream.read() ... b'Write some data'SparseCOOTensor.from_dense_numpy(cls, obj, dim_names=None) Convert numpy.ndarray to arrow::SparseCOOTensor Parameters ---------- obj : numpy.ndarray Data used to populate the rows. dim_names : list[str], optional Names of the dimensions. Returns ------- pyarrow.SparseCOOTensor_ExtensionRegistryNanny.release_registry(self)LargeListViewType.__reduce__(self)NativeFile.read1(self, nbytes=None) Read and return up to n bytes. Unlike read(), if *nbytes* is None then a chunk is read, not the entire file. Parameters ---------- nbytes : int, default None The maximum number of bytes to read. Returns ------- data : bytesStringBuilder.append(self, value) Append a single value to the builder. The value can either be a string/bytes object or a null value (np.nan or None). Parameters ---------- value : string/bytes or np.nan/None The value to append to the string array builder.RunEndEncodedType.__reduce__(self)ChunkedArray.__sizeof__(self)StringViewBuilder.append(self, value) Append a single value to the builder. The value can either be a string/bytes object or a null value (np.nan or None). Parameters ---------- value : string/bytes or np.nan/None The value to append to the string array builder.tzinfo_to_string(tz) Converts a time zone object into a string indicating the name of a time zone, one of: * As used in the Olson time zone database (the "tz database" or "tzdata"), such as "America/New_York" * An absolute time zone offset of the form +XX:XX or -XX:XX, such as +07:30 Parameters ---------- tz : datetime.tzinfo Time zone object Returns ------- name : str Time zone namecompress(buf, codec='lz4', asbytes=False, memory_pool=None) Compress data from buffer-like object. Parameters ---------- buf : pyarrow.Buffer, bytes, or other object supporting buffer protocol codec : str, default 'lz4' Compression codec. Supported types: {'brotli, 'gzip', 'lz4', 'lz4_raw', 'snappy', 'zstd'} asbytes : bool, default False Return result as Python bytes object, otherwise Buffer. memory_pool : MemoryPool, default None Memory pool to use for buffer allocations, if any. Returns ------- compressed : pyarrow.Buffer or bytes (if asbytes=True)Schema.get_all_field_indices(self, name) Return sorted list of indices for the fields with the given name. Parameters ---------- name : str The name of the field to look up. Returns ------- indices : List[int] Examples -------- >>> import pyarrow as pa >>> schema = pa.schema([ ... pa.field('n_legs', pa.int64()), ... pa.field('animals', pa.string()), ... pa.field('animals', pa.bool_())]) Get the indexes of the fields named 'animals': >>> schema.get_all_field_indices("animals") [1, 2]_Tabular._column(self, int i)Buffer.equals(self, Buffer other) Determine if two buffers contain exactly the same data. Parameters ---------- other : Buffer Returns ------- are_equal : bool True if buffer contents and size are equalScalar.equals(self, Scalar other) Parameters ---------- other : pyarrow.Scalar Returns ------- boolbool8() Create instance of bool8 extension type. Examples -------- Create an instance of bool8 extension type: >>> import pyarrow as pa >>> type = pa.bool8() >>> type Bool8Type(extension) Inspect the data type: >>> type.storage_type DataType(int8) Create a table with a bool8 array: >>> arr = [-1, 0, 1, 2, None] >>> storage = pa.array(arr, pa.int8()) >>> other = pa.ExtensionArray.from_storage(type, storage) >>> pa.table([other], names=["unknown_col"]) pyarrow.Table unknown_col: extension ---- unknown_col: [[-1,0,1,2,null]] Returns ------- type : Bool8TypeUnknownExtensionType.__arrow_ext_deserialize__(cls, storage_type, serialized)StructArray.field(self, index) Retrieves the child array belonging to field. Parameters ---------- index : Union[int, str] Index / position or name of the field. Returns ------- result : ArraySparseCSFTensor.to_tensor(self) Convert arrow::SparseCSFTensor to arrow::TensorCacheOptions.__reduce__(self)concat_tables(tables, MemoryPool memory_pool=None, str promote_options='none', **kwargs) Concatenate pyarrow.Table objects. If promote_options="none", a zero-copy concatenation will be performed. The schemas of all the Tables must be the same (except the metadata), otherwise an exception will be raised. The result Table will share the metadata with the first table. If promote_options="default", any null type arrays will be casted to the type of other arrays in the column of the same name. If a table is missing a particular field, null values of the appropriate type will be generated to take the place of the missing field. The new schema will share the metadata with the first table. Each field in the new schema will share the metadata with the first table which has the field defined. Note that type promotions may involve additional allocations on the given ``memory_pool``. If promote_options="permissive", the behavior of default plus types will be promoted to the common denominator that fits all the fields. Parameters ---------- tables : iterable of pyarrow.Table objects Pyarrow tables to concatenate into a single Table. memory_pool : MemoryPool, default None For memory allocations, if required, otherwise use default pool. promote_options : str, default none Accepts strings "none", "default" and "permissive". **kwargs : dict, optional Examples -------- >>> import pyarrow as pa >>> t1 = pa.table([ ... pa.array([2, 4, 5, 100]), ... pa.array(["Flamingo", "Horse", "Brittle stars", "Centipede"]) ... ], names=['n_legs', 'animals']) >>> t2 = pa.table([ ... pa.array([2, 4]), ... pa.array(["Parrot", "Dog"]) ... ], names=['n_legs', 'animals']) >>> pa.concat_tables([t1,t2]) pyarrow.Table n_legs: int64 animals: string ---- n_legs: [[2,4,5,100],[2,4]] animals: [["Flamingo","Horse","Brittle stars","Centipede"],["Parrot","Dog"]]StructType.__len__(self) Like num_fields().Array.value_counts(self) Compute counts of unique elements in array. Returns ------- StructArray An array of structs_PandasAPIShim.is_ge_v3_strict(self)arrow_schemaArray.to_numpy(self, zero_copy_only=True, writable=False) Return a NumPy view or copy of this array. By default, tries to return a view of this array. This is only supported for primitive arrays with the same memory layout as NumPy (i.e. integers, floating point, ..) and without any nulls. For the extension arrays, this method simply delegates to the underlying storage array. Parameters ---------- zero_copy_only : bool, default True If True, an exception will be raised if the conversion to a numpy array would require copying the underlying data (e.g. in presence of nulls, or for non-primitive types). writable : bool, default False For numpy arrays created with zero copy (view on the Arrow data), the resulting array is not writable (Arrow data is immutable). By setting this to True, a copy of the array is made to ensure it is writable. Returns ------- array : numpy.ndarrayDecimal64Type.__reduce__(self)Table.flatten(self, MemoryPool memory_pool=None) Flatten this Table. Each column with a struct type is flattened into one column per struct field. Other columns are left unchanged. Parameters ---------- memory_pool : MemoryPool, default None For memory allocations, if required, otherwise use default pool Returns ------- Table Examples -------- >>> import pyarrow as pa >>> struct = pa.array([{'n_legs': 2, 'animals': 'Parrot'}, ... {'year': 2022, 'n_legs': 4}]) >>> month = pa.array([4, 6]) >>> table = pa.Table.from_arrays([struct,month], ... names = ["a", "month"]) >>> table pyarrow.Table a: struct child 0, n_legs: int64 child 1, animals: string child 2, year: int64 month: int64 ---- a: [ -- is_valid: all not null -- child 0 type: int64 [2,4] -- child 1 type: string ["Parrot",null] -- child 2 type: int64 [null,2022]] month: [[4,6]] Flatten the columns with struct field: >>> table.flatten() pyarrow.Table a.n_legs: int64 a.animals: string a.year: int64 month: int64 ---- a.n_legs: [[2,4]] a.animals: [["Parrot",null]] a.year: [[null,2022]] month: [[4,6]]_Tabular._ensure_integer_index(self, i) Ensure integer index (convert string column name to integer if needed).is_threading_enabled() -> bool Returns True if threading is enabled in libarrow. If it isn't enabled, then python shouldn't create any threads either, because we're probably on a system where threading doesn't work (e.g. Emscripten).NativeFile.tell(self) Return current stream positionarrow.uuidCacheOptions.from_network_metrics(time_to_first_byte_millis, transfer_bandwidth_mib_per_sec, ideal_bandwidth_utilization_frac=0.9, max_ideal_request_size_mib=64) Create suitable CacheOptions based on provided network metrics. Typically this will be used with object storage solutions like Amazon S3, Google Cloud Storage and Azure Blob Storage. Parameters ---------- time_to_first_byte_millis : int Seek-time or Time-To-First-Byte (TTFB) in milliseconds, also called call setup latency of a new read request. The value is a positive integer. transfer_bandwidth_mib_per_sec : int Data transfer Bandwidth (BW) in MiB/sec (per connection). The value is a positive integer. ideal_bandwidth_utilization_frac : int, default 0.9 Transfer bandwidth utilization fraction (per connection) to maximize the net data load. The value is a positive float less than 1. max_ideal_request_size_mib : int, default 64 The maximum single data request size (in MiB) to maximize the net data load. Returns ------- CacheOptionsArray.unique(self) Compute distinct elements in array. Returns ------- unique : Array An array of the same data type, with deduplicated elements._Tabular.field(self, i) Select a schema field by its column name or numeric index. Parameters ---------- i : int or string The index or name of the field to retrieve. Returns ------- Field Examples -------- Table (works similarly for RecordBatch) >>> import pyarrow as pa >>> table = pa.table({'n_legs': [2, 4, 5, 100], ... 'animals': ["Flamingo", "Horse", "Brittle stars", "Centipede"]}) >>> table.field(0) pyarrow.Field >>> table.field(1) pyarrow.Fieldint64() Create instance of signed int64 type. Examples -------- Create an instance of int64 type: >>> import pyarrow as pa >>> pa.int64() DataType(int64) >>> print(pa.int64()) int64 Create an array with int64 type: >>> pa.array([0, 1, 2], type=pa.int64()) [ 0, 1, 2 ]StructScalar.__getitem__(self, key) Return the child value for the given field. Parameters ---------- index : Union[int, str] Index / position or name of the field. Returns ------- result : ScalarRecordBatch.slice(self, offset=0, length=None) Compute zero-copy slice of this RecordBatch Parameters ---------- offset : int, default 0 Offset from start of record batch to slice length : int, default None Length of slice (default is until end of batch starting from offset) Returns ------- sliced : RecordBatch Examples -------- >>> import pyarrow as pa >>> n_legs = pa.array([2, 2, 4, 4, 5, 100]) >>> animals = pa.array(["Flamingo", "Parrot", "Dog", "Horse", "Brittle stars", "Centipede"]) >>> batch = pa.RecordBatch.from_arrays([n_legs, animals], ... names=["n_legs", "animals"]) >>> batch.to_pandas() n_legs animals 0 2 Flamingo 1 2 Parrot 2 4 Dog 3 4 Horse 4 5 Brittle stars 5 100 Centipede >>> batch.slice(offset=3).to_pandas() n_legs animals 0 4 Horse 1 5 Brittle stars 2 100 Centipede >>> batch.slice(length=2).to_pandas() n_legs animals 0 2 Flamingo 1 2 Parrot >>> batch.slice(offset=3, length=1).to_pandas() n_legs animals 0 4 HorseRecordBatchReader.__enter__(self)JsonType.__reduce__(self)arrow.jsonChunkedArray.combine_chunks(self, MemoryPool memory_pool=None) Flatten this ChunkedArray into a single non-chunked array. Parameters ---------- memory_pool : MemoryPool, default None For memory allocations, if required, otherwise use default pool Returns ------- result : Array Examples -------- >>> import pyarrow as pa >>> n_legs = pa.chunked_array([[2, 2, 4], [4, 5, 100]]) >>> n_legs [ [ 2, 2, 4 ], [ 4, 5, 100 ] ] >>> n_legs.combine_chunks() [ 2, 2, 4, 4, 5, 100 ]Codec.default_compression_level(str compression) Returns the compression level that Arrow will use for the codec if None is specified. Parameters ---------- compression : str Type of compression codec, refer to Codec docstring for a list of supported ones.Decimal256Type.__reduce__(self)_PandasAPIShim.is_series(self, obj)Decimal128Type.__reduce__(self)NativeFile.readlines(self, hint=None) NOT IMPLEMENTED. Read lines of the file Parameters ---------- hint : int maximum number of bytes read until we stopSparseCSFTensor.__reduce_cython__(self)ChunkedArray._assert_cpu(self)ChunkedArray.format(self, **kwargs) DEPRECATED, use pyarrow.ChunkedArray.to_string Parameters ---------- **kwargs : dict Returns ------- strField.__reduce__(self)MonthDayNanoIntervalArray.to_pylist(self, *, maps_as_pydicts=None) Convert to a list of native Python objects. pyarrow.MonthDayNano is used as the native representation. Parameters ---------- maps_as_pydicts : str, optional, default `None` Valid values are `None`, 'lossy', or 'strict'. This parameter is ignored for non-nested Scalars. Returns ------- lst : listUnionType.__iter__(self) Iterate over union members, in order.RunEndEncodedArray.find_physical_offset(self) Find the physical offset of this REE array. This is the offset of the run that contains the value of the first logical element of this array considering its offset. This function uses binary-search, so it has a O(log N) cost.SparseCOOTensor.to_scipy(self) Convert arrow::SparseCOOTensor to scipy.sparse.coo_array.NullScalar.as_py(self, *, maps_as_pydicts=None) Return this value as a Python None. Parameters ---------- maps_as_pydicts : str, optional, default `None` Valid values are `None`, 'lossy', or 'strict'. This parameter is ignored for non-nested Scalars._Tabular.__reduce_cython__(self)NativeFile.isatty(self)RunEndEncodedArray.find_physical_length(self) Find the physical length of this REE array. The physical length of an REE is the number of physical values (and run-ends) necessary to represent the logical range of values from offset to length. This function uses binary-search, so it has a O(log N) cost._PandasAPIShim.uses_string_dtype(self)UInt16Scalar.as_py(self, *, maps_as_pydicts=None) Return this value as a Python int. Parameters ---------- maps_as_pydicts : str, optional, default `None` Valid values are `None`, 'lossy', or 'strict'. This parameter is ignored for non-nested Scalars.SignalStopHandler.__setstate_cython__(self, __pyx_state)Buffer.__reduce_ex__(self, protocol)MockOutputStream.__setstate_cython__(self, __pyx_state)_is_primitive(Type type)ChunkedArray.validate(self, *, full=False) Perform validation checks. An exception is raised if validation fails. By default only cheap validation checks are run. Pass `full=True` for thorough validation checks (potentially O(n)). Parameters ---------- full : bool, default False If True, run expensive checks, otherwise cheap checks only. Raises ------ ArrowInvalidArrayStatistics.__reduce_cython__(self)NativeFile.seek(self, int64_t position, int whence=0) Change current file stream position Parameters ---------- position : int Byte offset, interpreted relative to value of whence argument whence : int, default 0 Point of reference for seek offset Notes ----- Values of whence: * 0 -- start of stream (the default); offset should be zero or positive * 1 -- current stream position; offset may be negative * 2 -- end of stream; offset is usually negative Returns ------- int The new absolute stream position.BinaryScalar.__bytes__(self)ChunkedArray.unify_dictionaries(self, MemoryPool memory_pool=None) Unify dictionaries across all chunks. This method returns an equivalent chunked array, but where all chunks share the same dictionary values. Dictionary indices are transposed accordingly. If there are no dictionaries in the chunked array, it is returned unchanged. Parameters ---------- memory_pool : MemoryPool, default None For memory allocations, if required, otherwise use default pool Returns ------- result : ChunkedArray Examples -------- >>> import pyarrow as pa >>> arr_1 = pa.array(["Flamingo", "Parrot", "Dog"]).dictionary_encode() >>> arr_2 = pa.array(["Horse", "Brittle stars", "Centipede"]).dictionary_encode() >>> c_arr = pa.chunked_array([arr_1, arr_2]) >>> c_arr [ ... -- dictionary: [ "Flamingo", "Parrot", "Dog" ] -- indices: [ 0, 1, 2 ], ... -- dictionary: [ "Horse", "Brittle stars", "Centipede" ] -- indices: [ 0, 1, 2 ] ] >>> c_arr.unify_dictionaries() [ ... -- dictionary: [ "Flamingo", "Parrot", "Dog", "Horse", "Brittle stars", "Centipede" ] -- indices: [ 0, 1, 2 ], ... -- dictionary: [ "Flamingo", "Parrot", "Dog", "Horse", "Brittle stars", "Centipede" ] -- indices: [ 3, 4, 5 ] ]ChunkedArray.to_pylist(self, *, maps_as_pydicts=None) Convert to a list of native Python objects. Parameters ---------- maps_as_pydicts : str, optional, default `None` Valid values are `None`, 'lossy', or 'strict'. The default behavior (`None`), is to convert Arrow Map arrays to Python association lists (list-of-tuples) in the same order as the Arrow Map, as in [(key1, value1), (key2, value2), ...]. If 'lossy' or 'strict', convert Arrow Map arrays to native Python dicts. If 'lossy', whenever duplicate keys are detected, a warning will be printed. The last seen value of a duplicate key will be in the Python dictionary. If 'strict', this instead results in an exception being raised when detected. Examples -------- >>> import pyarrow as pa >>> n_legs = pa.chunked_array([[2, 2, 4], [4, None, 100]]) >>> n_legs.to_pylist() [2, 2, 4, 4, None, 100]Array.view(self, target_type) Return zero-copy "view" of array as another data type. The data types must have compatible columnar buffer layouts Parameters ---------- target_type : DataType Type to construct view as. Returns ------- view : Arrayuint64() Create instance of unsigned uint64 type. Examples -------- Create an instance of unsigned int64 type: >>> import pyarrow as pa >>> pa.uint64() DataType(uint64) >>> print(pa.uint64()) uint64 Create an array with unsigned uint64 type: >>> pa.array([0, 1, 2], type=pa.uint64()) [ 0, 1, 2 ]_PandasAPIShim.__reduce_cython__(self)SparseCOOTensor.__setstate_cython__(self, __pyx_state)Schema.add_metadata(self, metadata) DEPRECATED Parameters ---------- metadata : dict Keys and values must be string-like / coercible to bytesduration(unit) Create instance of a duration type with unit resolution. Parameters ---------- unit : str One of 's' [second], 'ms' [millisecond], 'us' [microsecond], or 'ns' [nanosecond]. Returns ------- type : pyarrow.DurationType Examples -------- Create an instance of duration type: >>> import pyarrow as pa >>> pa.duration('us') DurationType(duration[us]) >>> pa.duration('s') DurationType(duration[s]) Create an array with duration type: >>> pa.array([0, 1, 2], type=pa.duration('s')) [ 0, 1, 2 ]Array.dictionary_encode(self, null_encoding='mask') Compute dictionary-encoded representation of array. See :func:`pyarrow.compute.dictionary_encode` for full usage. Parameters ---------- null_encoding : str, default "mask" How to handle null entries. Returns ------- encoded : DictionaryArray A dictionary-encoded version of this array.run_end_encoded(run_end_type, value_type) Create RunEndEncodedType from run-end and value types. Parameters ---------- run_end_type : pyarrow.DataType The integer type of the run_ends array. Must be 'int16', 'int32', or 'int64'. value_type : pyarrow.DataType The type of the values array. Returns ------- type : RunEndEncodedType_detect_compression(path)StructArray.from_arrays(arrays, names=None, fields=None, mask=None, memory_pool=None, type=None) Construct StructArray from collection of arrays representing each field in the struct. Either field names, field instances or a struct type must be passed. Parameters ---------- arrays : sequence of Array names : List[str] (optional) Field names for each struct child. fields : List[Field] (optional) Field instances for each struct child. mask : pyarrow.Array[bool] (optional) Indicate which values are null (True) or not null (False). memory_pool : MemoryPool (optional) For memory allocations, if required, otherwise uses default pool. type : pyarrow.StructType (optional) Struct type for name and type of each child. Returns ------- result : StructArrayRecordBatch.select(self, columns) Select columns of the RecordBatch. Returns a new RecordBatch with the specified columns, and metadata preserved. Parameters ---------- columns : list-like The column names or integer indices to select. Returns ------- RecordBatch Examples -------- >>> import pyarrow as pa >>> n_legs = pa.array([2, 2, 4, 4, 5, 100]) >>> animals = pa.array(["Flamingo", "Parrot", "Dog", "Horse", "Brittle stars", "Centipede"]) >>> batch = pa.record_batch([n_legs, animals], ... names=["n_legs", "animals"]) Select columns my indices: >>> batch.select([1]) pyarrow.RecordBatch animals: string ---- animals: ["Flamingo","Parrot","Dog","Horse","Brittle stars","Centipede"] Select columns by names: >>> batch.select(["n_legs"]) pyarrow.RecordBatch n_legs: int64 ---- n_legs: [2,2,4,4,5,100]SparseCOOTensor.from_pydata_sparse(obj, dim_names=None) Convert pydata/sparse.COO to arrow::SparseCOOTensor. Parameters ---------- obj : pydata.sparse.COO The sparse multidimensional array that should be converted. dim_names : list, optional Names of the dimensions.arrow_arrayRecordBatchReader._import_from_c(in_ptr) Import RecordBatchReader from a C ArrowArrayStream struct, given its pointer. Parameters ---------- in_ptr: int The raw pointer to a C ArrowArrayStream struct. This is a low-level function intended for expert users.NativeFile.writable(self)Date64Scalar.as_py(self, *, maps_as_pydicts=None) Return this value as a Python datetime.datetime instance. Parameters ---------- maps_as_pydicts : str, optional, default `None` Valid values are `None`, 'lossy', or 'strict'. This parameter is ignored for non-nested Scalars._PandasAPIShim.is_ge_v23(self)sparse_union(child_fields, type_codes=None) Create SparseUnionType from child fields. A sparse union is a nested type where each logical value is taken from a single child. A buffer of 8-bit type ids indicates which child a given logical value is to be taken from. In a sparse union, each child array should have the same length as the union array, regardless of the actual number of union values that refer to it. Parameters ---------- child_fields : sequence of Field values Each field must have a UTF8-encoded name, and these field names are part of the type metadata. type_codes : list of integers, default None Returns ------- type : SparseUnionTypePythonFile.__reduce_cython__(self)SparseCSRMatrix.from_numpy(data, indptr, indices, shape, dim_names=None) Create arrow::SparseCSRMatrix from numpy.ndarrays. Parameters ---------- data : numpy.ndarray Data used to populate the sparse matrix. indptr : numpy.ndarray Range of the rows, The i-th row spans from `indptr[i]` to `indptr[i+1]` in the data. indices : numpy.ndarray Column indices of the corresponding non-zero values. shape : tuple Shape of the matrix. dim_names : list, optional Names of the dimensions. Examples -------- >>> import pyarrow as pa >>> import numpy as np >>> data = np.array([1.0, 2.0, 3.0], dtype=np.float64) >>> indptr = np.array([0, 2, 3], dtype=np.int64) >>> indices = np.array([0, 2, 1], dtype=np.int64) >>> sparse_csr = pa.SparseCSRMatrix.from_numpy( ... data, indptr, indices, shape=(2, 3)) >>> sparse_csr type: double shape: (2, 3)MapType.__reduce__(self)PythonFile.truncate(self, pos=None) Parameters ---------- pos : int, optionalRecordBatch.__sizeof__(self)StopToken.__setstate_cython__(self, __pyx_state)_PandasAPIShim.is_array_like(self, obj)Table.combine_chunks(self, MemoryPool memory_pool=None) Make a new table by combining the chunks this table has. All the underlying chunks in the ChunkedArray of each column are concatenated into zero or one chunk. To avoid buffer overflow, binary columns may be combined into multiple chunks. Chunks will have the maximum possible length. Parameters ---------- memory_pool : MemoryPool, default None For memory allocations, if required, otherwise use default pool. Returns ------- Table Examples -------- >>> import pyarrow as pa >>> n_legs = pa.chunked_array([[2, 2, 4], [4, 5, 100]]) >>> animals = pa.chunked_array([["Flamingo", "Parrot", "Dog"], ["Horse", "Brittle stars", "Centipede"]]) >>> names = ["n_legs", "animals"] >>> table = pa.table([n_legs, animals], names=names) >>> table pyarrow.Table n_legs: int64 animals: string ---- n_legs: [[2,2,4],[4,5,100]] animals: [["Flamingo","Parrot","Dog"],["Horse","Brittle stars","Centipede"]] >>> table.combine_chunks() pyarrow.Table n_legs: int64 animals: string ---- n_legs: [[2,2,4,4,5,100]] animals: [["Flamingo","Parrot","Dog","Horse","Brittle stars","Centipede"]]Array.__arrow_c_array__(self, requested_schema=None) Get a pair of PyCapsules containing a C ArrowArray representation of the object. Parameters ---------- requested_schema : PyCapsule | None A PyCapsule containing a C ArrowSchema representation of a requested schema. PyArrow will attempt to cast the array to this data type. If None, the array will be returned as-is, with a type matching the one returned by :meth:`__arrow_c_schema__()`. Returns ------- Tuple[PyCapsule, PyCapsule] A pair of PyCapsules containing a C ArrowSchema and ArrowArray, respectively.SparseCOOTensor.dim_name(self, i) Returns the name of the i-th tensor dimension. Parameters ---------- i : int The physical index of the tensor dimension. Returns ------- strChunkedArray.iterchunks(self) Convert to an iterator of ChunkArrays. Examples -------- >>> import pyarrow as pa >>> n_legs = pa.chunked_array([[2, 2, 4], [4, None, 100]]) >>> for i in n_legs.iterchunks(): ... print(i.null_count) ... 0 1Array.index(self, value, start=None, end=None, *, memory_pool=None) Find the first index of a value. See :func:`pyarrow.compute.index` for full usage. Parameters ---------- value : Scalar or object The value to look for in the array. start : int, optional The start index where to look for `value`. end : int, optional The end index where to look for `value`. memory_pool : MemoryPool, optional A memory pool for potential memory allocations. Returns ------- index : Int64Scalar The index of the value in the array (-1 if not found).Field._import_from_c(in_ptr) Import Field from a C ArrowSchema struct, given its pointer. This is a low-level function intended for expert users.SparseCSRMatrix.__reduce_cython__(self)NativeFile.get_stream(self, file_offset, nbytes) Return an input stream that reads a file segment independent of the state of the file. Allows reading portions of a random access file as an input stream without interfering with each other. Parameters ---------- file_offset : int nbytes : int Returns ------- stream : NativeFileMemoryPool.__setstate_cython__(self, __pyx_state)_Tabular.__array__(self, dtype=None, copy=None)FixedShapeTensorType.__arrow_ext_class__(self)_array_like_types, _categorical_type, _compat_module, _data_frame, _datetimetz_type, _extension_array, _extension_dtype, _have_pandas, _index, _is_extension_array_dtype, _is_ge_v21, _is_ge_v23, _is_ge_v3, _is_ge_v3_strict, _is_v1, _lock, _loose_version, _pd, _pd024, _series, _tried_importing_pandas, _types_api, _version, has_sparseSparseCSCMatrix.dim_name(self, i) Returns the name of the i-th tensor dimension. Parameters ---------- i : int The physical index of the tensor dimension. Returns ------- strSchema.equals(self, Schema other, bool check_metadata=False) Test if this schema is equal to the other Parameters ---------- other : pyarrow.Schema check_metadata : bool, default False Key/value metadata must be equal too Returns ------- is_equal : bool Examples -------- >>> import pyarrow as pa >>> schema1 = pa.schema([ ... pa.field('n_legs', pa.int64()), ... pa.field('animals', pa.string())], ... metadata={"n_legs": "Number of legs per animal"}) >>> schema2 = pa.schema([ ... ('some_int', pa.int32()), ... ('some_string', pa.string()) ... ]) Test two equal schemas: >>> schema1.equals(schema1) True Test two unequal schemas: >>> schema1.equals(schema2) Falsearange(int64_t start, int64_t stop, int64_t step=1, *, memory_pool=None) Create an array of evenly spaced values within a given interval. This function is similar to Python's `range` function. The resulting array will contain values starting from `start` up to but not including `stop`, with a step size of `step`. Parameters ---------- start : int The starting value for the sequence. The returned array will include this value. stop : int The stopping value for the sequence. The returned array will not include this value. step : int, default 1 The spacing between values. memory_pool : MemoryPool, optional A memory pool to use for memory allocations. Raises ------ ArrowInvalid If `step` is zero. Returns ------- arange : ArrayTable.replace_schema_metadata(self, metadata=None) Create shallow copy of table by replacing schema key-value metadata with the indicated new metadata (which may be None), which deletes any existing metadata. Parameters ---------- metadata : dict, default None Returns ------- Table Examples -------- >>> import pyarrow as pa >>> import pandas as pd >>> df = pd.DataFrame({'year': [2020, 2022, 2019, 2021], ... 'n_legs': [2, 4, 5, 100], ... 'animals': ["Flamingo", "Horse", "Brittle stars", "Centipede"]}) >>> table = pa.Table.from_pandas(df) Constructing a Table with pyarrow schema and metadata: >>> my_schema = pa.schema([ ... pa.field('n_legs', pa.int64()), ... pa.field('animals', pa.string())], ... metadata={"n_legs": "Number of legs per animal"}) >>> table= pa.table(df, my_schema) >>> table.schema n_legs: int64 animals: string -- schema metadata -- n_legs: 'Number of legs per animal' pandas: ... Create a shallow copy of a Table with deleted schema metadata: >>> table.replace_schema_metadata().schema n_legs: int64 animals: string Create a shallow copy of a Table with new schema metadata: >>> metadata={"animals": "Which animal"} >>> table.replace_schema_metadata(metadata = metadata).schema n_legs: int64 animals: string -- schema metadata -- animals: 'Which animal'SignalStopHandler.__reduce_cython__(self)time32(unit) Create instance of 32-bit time (time of day) type with unit resolution. Parameters ---------- unit : str one of 's' [second], or 'ms' [millisecond] Returns ------- type : pyarrow.Time32Type Examples -------- >>> import pyarrow as pa >>> pa.time32('s') Time32Type(time32[s]) >>> pa.time32('ms') Time32Type(time32[ms])large_binary() Create large variable-length binary type. This data type may not be supported by all Arrow implementations. Unless you need to represent data larger than 2GB, you should prefer binary(). Examples -------- Create an instance of large variable-length binary type: >>> import pyarrow as pa >>> pa.large_binary() DataType(large_binary) and use the type to create an array: >>> pa.array(['foo', 'bar', 'baz'], type=pa.large_binary()) [ 666F6F, 626172, 62617A ]Table.select(self, columns) Select columns of the Table. Returns a new Table with the specified columns, and metadata preserved. Parameters ---------- columns : list-like The column names or integer indices to select. Returns ------- Table Examples -------- >>> import pyarrow as pa >>> table = pa.table({'year': [2020, 2022, 2019, 2021], ... 'n_legs': [2, 4, 5, 100], ... 'animals': ["Flamingo", "Horse", "Brittle stars", "Centipede"]}) >>> table.select([0,1]) pyarrow.Table year: int64 n_legs: int64 ---- year: [[2020,2022,2019,2021]] n_legs: [[2,4,5,100]] >>> table.select(["year"]) pyarrow.Table year: int64 ---- year: [[2020,2022,2019,2021]]binary_view() Create a variable-length binary view type. Examples -------- Create an instance of a string type: >>> import pyarrow as pa >>> pa.binary_view() DataType(binary_view)Schema.get_field_index(self, name) Return index of the unique field with the given name. Parameters ---------- name : str The name of the field to look up. Returns ------- index : int The index of the field with the given name; -1 if the name isn't found or there are several fields with the given name. Examples -------- >>> import pyarrow as pa >>> schema = pa.schema([ ... pa.field('n_legs', pa.int64()), ... pa.field('animals', pa.string())]) Get the index of the field named 'animals': >>> schema.get_field_index("animals") 1 Index in case of several fields with the given name: >>> schema = pa.schema([ ... pa.field('n_legs', pa.int64()), ... pa.field('animals', pa.string()), ... pa.field('animals', pa.bool_())], ... metadata={"n_legs": "Number of legs per animal"}) >>> schema.get_field_index("animals") -1Schema.field_by_name(self, name) DEPRECATED Parameters ---------- name : str Returns ------- field: pyarrow.Fieldchunked_array(arrays, type=None) Construct chunked array from list of array-like objects Parameters ---------- arrays : Array, list of Array, or array-like Must all be the same data type. Can be empty only if type also passed. Any Arrow-compatible array that implements the Arrow PyCapsule Protocol (has an ``__arrow_c_array__`` or ``__arrow_c_stream__`` method) can be passed as well. type : DataType or string coercible to DataType Returns ------- ChunkedArray Examples -------- >>> import pyarrow as pa >>> pa.chunked_array([], type=pa.int8()) [ ... ] >>> pa.chunked_array([[2, 2, 4], [4, 5, 100]]) [ [ 2, 2, 4 ], [ 4, 5, 100 ] ]RecordBatchReader._import_from_c_capsule(stream) Import RecordBatchReader from a C ArrowArrayStream PyCapsule. Parameters ---------- stream: PyCapsule A capsule containing a C ArrowArrayStream PyCapsule. Returns ------- RecordBatchReaderCodec.supports_compression_level(str compression) Returns true if the compression level parameter is supported for the given codec. Parameters ---------- compression : str Type of compression codec, refer to Codec docstring for a list of supported ones.register_extension_type(ext_type) Register a Python extension type. Registration is based on the extension name (so different registered types need unique extension names). Registration needs an extension type instance, but then works for any instance of the same subclass regardless of parametrization of the type. Parameters ---------- ext_type : BaseExtensionType instance The ExtensionType subclass to register. Examples -------- Define a RationalType extension type subclassing ExtensionType: >>> import pyarrow as pa >>> class RationalType(pa.ExtensionType): ... def __init__(self, data_type: pa.DataType): ... if not pa.types.is_integer(data_type): ... raise TypeError(f"data_type must be an integer type not {data_type}") ... super().__init__( ... pa.struct( ... [ ... ("numer", data_type), ... ("denom", data_type), ... ], ... ), ... # N.B. This name does _not_ reference `data_type` so deserialization ... # will work for _any_ integer `data_type` after registration ... "my_package.rational", ... ) ... def __arrow_ext_serialize__(self) -> bytes: ... # No parameters are necessary ... return b"" ... @classmethod ... def __arrow_ext_deserialize__(cls, storage_type, serialized): ... # return an instance of this subclass ... return RationalType(storage_type[0].type) Register the extension type: >>> pa.register_extension_type(RationalType(pa.int64())) Unregister the extension type: >>> pa.unregister_extension_type("my_package.rational")Array.diff(self, Array other) Compare contents of this array against another one. Return a string containing the result of diffing this array (on the left side) against the other array (on the right side). Parameters ---------- other : Array The other array to compare this array with. Returns ------- diff : str A human-readable printout of the differences. Examples -------- >>> import pyarrow as pa >>> left = pa.array(["one", "two", "three"]) >>> right = pa.array(["two", None, "two-and-a-half", "three"]) >>> print(left.diff(right)) # doctest: +SKIP @@ -0, +0 @@ -"one" @@ -2, +1 @@ +null +"two-and-a-half"utf8() Alias for string(). Examples -------- Create an instance of a string type: >>> import pyarrow as pa >>> pa.utf8() DataType(string) and use the string type to create an array: >>> pa.array(['foo', 'bar', 'baz'], type=pa.utf8()) [ "foo", "bar", "baz" ]FloatScalar.as_py(self, *, maps_as_pydicts=None) Return this value as a Python float. Parameters ---------- maps_as_pydicts : str, optional, default `None` Valid values are `None`, 'lossy', or 'strict'. This parameter is ignored for non-nested Scalars.ListViewArray.from_arrays(offsets, sizes, values, DataType type=None, MemoryPool pool=None, mask=None) Construct ListViewArray from arrays of int32 offsets, sizes, and values. Parameters ---------- offsets : Array (int32 type) sizes : Array (int32 type) values : Array (any type) type : DataType, optional If not specified, a default ListType with the values' type is used. pool : MemoryPool, optional mask : Array (boolean type), optional Indicate which values are null (True) or not null (False). Returns ------- list_view_array : ListViewArray Examples -------- >>> import pyarrow as pa >>> values = pa.array([1, 2, 3, 4]) >>> offsets = pa.array([0, 1, 2]) >>> sizes = pa.array([2, 2, 2]) >>> pa.ListViewArray.from_arrays(offsets, sizes, values) [ [ 1, 2 ], [ 2, 3 ], [ 3, 4 ] ] >>> # use a null mask to represent null values >>> mask = pa.array([False, True, False]) >>> pa.ListViewArray.from_arrays(offsets, sizes, values, mask=mask) [ [ 1, 2 ], null, [ 3, 4 ] ] >>> # null values can be defined in either offsets or sizes arrays >>> # WARNING: this will result in a copy of the offsets or sizes arrays >>> offsets = pa.array([0, None, 2]) >>> pa.ListViewArray.from_arrays(offsets, sizes, values) [ [ 1, 2 ], null, [ 3, 4 ] ]RecordBatch.rename_columns(self, names) Create new record batch with columns renamed to provided names. Parameters ---------- names : list[str] or dict[str, str] List of new column names or mapping of old column names to new column names. If a mapping of old to new column names is passed, then all columns which are found to match a provided old column name will be renamed to the new column name. If any column names are not found in the mapping, a KeyError will be raised. Raises ------ KeyError If any of the column names passed in the names mapping do not exist. Returns ------- RecordBatch Examples -------- >>> import pyarrow as pa >>> batch = pa.RecordBatch.from_arrays( ... [[2, 4, 5, 100], ["Flamingo", "Horse", "Brittle stars", "Centipede"]], ... names=['n_legs', 'animals']) >>> new_names = ["n", "name"] >>> batch.rename_columns(new_names) pyarrow.RecordBatch n: int64 name: string ---- n: [2,4,5,100] name: ["Flamingo","Horse","Brittle stars","Centipede"] >>> new_names = {"n_legs": "n", "animals": "name"} >>> batch.rename_columns(new_names) pyarrow.RecordBatch n: int64 name: string ---- n: [2,4,5,100] name: ["Flamingo","Horse","Brittle stars","Centipede"]StringArray.from_buffers(int length, Buffer value_offsets, Buffer data, Buffer null_bitmap=None, int null_count=-1, int offset=0) Construct a StringArray from value_offsets and data buffers. If there are nulls in the data, also a null_bitmap and the matching null_count must be passed. Parameters ---------- length : int value_offsets : Buffer data : Buffer null_bitmap : Buffer, optional null_count : int, default 0 offset : int, default 0 Returns ------- string_array : StringArray_PandasConvertible.__setstate_cython__(self, __pyx_state)Field.with_type(self, DataType new_type) A copy of this field with the replaced type Parameters ---------- new_type : pyarrow.DataType Returns ------- field : pyarrow.Field Examples -------- >>> import pyarrow as pa >>> field = pa.field('key', pa.int32()) >>> field pyarrow.Field Create new field by replacing type of an existing one: >>> field_new = field.with_type(pa.int64()) >>> field_new pyarrow.Field_CRecordBatchWriter.write_table(self, Table table, max_chunksize=None) Write Table to stream in (contiguous) RecordBatch objects. Parameters ---------- table : Table max_chunksize : int, default None Maximum number of rows for RecordBatch chunks. Individual chunks may be smaller depending on the chunk layout of individual columns.foreign_buffer(address, size, base=None) Construct an Arrow buffer with the given *address* and *size*. The buffer will be optionally backed by the Python *base* object, if given. The *base* object will be kept alive as long as this buffer is alive, including across language boundaries (for example if the buffer is referenced by C++ code). Parameters ---------- address : int The starting address of the buffer. The address can refer to both device or host memory but it must be accessible from device after mapping it with `get_device_address` method. size : int The size of device buffer in bytes. base : {None, object} Object that owns the referenced memory.enable_signal_handlers(bool enable) Enable or disable interruption of long-running operations. By default, certain long running operations will detect user interruptions, such as by pressing Ctrl-C. This detection relies on setting a signal handler for the duration of the long-running operation, and may therefore interfere with other frameworks or libraries (such as an event loop). Parameters ---------- enable : bool Whether to enable user interruption by setting a temporary signal handler.Tensor.__setstate_cython__(self, __pyx_state)float32() Create single-precision floating point type. Examples -------- Create an instance of float32 type: >>> import pyarrow as pa >>> pa.float32() DataType(float) >>> print(pa.float32()) float Create an array with float32 type: >>> pa.array([0.0, 1.0, 2.0], type=pa.float32()) [ 0, 1, 2 ]_Tabular.to_string(self, *, show_metadata=False, preview_cols=0) Return human-readable string representation of Table or RecordBatch. Parameters ---------- show_metadata : bool, default False Display Field-level and Schema-level KeyValueMetadata. preview_cols : int, default 0 Display values of the columns for the first N columns. Returns ------- strBool8Array.from_numpy(obj) Convert numpy array to a bool8 extension array without making a copy. The input array must be 1-dimensional, with either ``bool_`` or ``int8`` dtype. Parameters ---------- obj : numpy.ndarray Returns ------- bool8_array : Bool8Array Examples -------- >>> import pyarrow as pa >>> import numpy as np >>> arr = np.array([True, False, True], dtype=np.bool_) >>> pa.Bool8Array.from_numpy(arr) [ 1, 0, 1 ]TableGroupBy.__init__(self, table, keys, use_threads=True)input_stream(source, compression='detect', buffer_size=None) Create an Arrow input stream. Parameters ---------- source : str, Path, buffer, or file-like object The source to open for reading. compression : str optional, default 'detect' The compression algorithm to use for on-the-fly decompression. If "detect" and source is a file path, then compression will be chosen based on the file extension. If None, no compression will be applied. Otherwise, a well-known algorithm name must be supplied (e.g. "gzip"). buffer_size : int, default None If None or 0, no buffering will happen. Otherwise the size of the temporary read buffer. Examples -------- Create a readable BufferReader (NativeFile) from a Buffer or a memoryview object: >>> import pyarrow as pa >>> buf = memoryview(b"some data") >>> with pa.input_stream(buf) as stream: ... stream.read(4) ... b'some' Create a readable OSFile (NativeFile) from a string or file path: >>> import gzip >>> with gzip.open('example.gz', 'wb') as f: ... f.write(b'some data') ... 9 >>> with pa.input_stream('example.gz') as stream: ... stream.read() ... b'some data' Create a readable PythonFile (NativeFile) from a a Python file object: >>> with open('example.txt', mode='w') as f: ... f.write('some text') ... 9 >>> with pa.input_stream('example.txt') as stream: ... stream.read(6) ... b'some t'JsonType.__arrow_ext_scalar_class__(self)month_day_nano_interval() Create instance of an interval type representing months, days and nanoseconds between two dates. Examples -------- Create an instance of an month_day_nano_interval type: >>> import pyarrow as pa >>> pa.month_day_nano_interval() DataType(month_day_nano_interval) Create a scalar with month_day_nano_interval type: >>> pa.scalar((1, 15, -30), type=pa.month_day_nano_interval()) UnionScalar.as_py(self, *, maps_as_pydicts=None) Return underlying value as a Python object. Parameters ---------- maps_as_pydicts : str, optional, default `None` Valid values are `None`, 'lossy', or 'strict'. The default behavior (`None`), is to convert Arrow Map arrays to Python association lists (list-of-tuples) in the same order as the Arrow Map, as in [(key1, value1), (key2, value2), ...]. If 'lossy' or 'strict', convert Arrow Map arrays to native Python dicts. If 'lossy', whenever duplicate keys are detected, a warning will be printed. The last seen value of a duplicate key will be in the Python dictionary. If 'strict', this instead results in an exception being raised when detected.DataType.equals(self, other, *, check_metadata=False) Return true if type is equivalent to passed value. Parameters ---------- other : DataType or string convertible to DataType check_metadata : bool Whether nested Field metadata equality should be checked as well. Returns ------- is_equal : bool Examples -------- >>> import pyarrow as pa >>> pa.int64().equals(pa.string()) False >>> pa.int64().equals(pa.int64()) True_PandasAPIShim.is_v1(self)field(name, type=None, nullable=None, metadata=None) Create a pyarrow.Field instance. Parameters ---------- name : str or bytes Name of the field. Alternatively, you can also pass an object that implements the Arrow PyCapsule Protocol for schemas (has an ``__arrow_c_schema__`` method). type : pyarrow.DataType or str Arrow datatype of the field or a string matching one. nullable : bool, default True Whether the field's values are nullable. metadata : dict, default None Optional field metadata, the keys and values must be coercible to bytes. Returns ------- field : pyarrow.Field Examples -------- Create an instance of pyarrow.Field: >>> import pyarrow as pa >>> pa.field('key', pa.int32()) pyarrow.Field >>> pa.field('key', pa.int32(), nullable=False) pyarrow.Field >>> field = pa.field('key', pa.int32(), ... metadata={"key": "Something important"}) >>> field pyarrow.Field >>> field.metadata {b'key': b'Something important'} Use the field to create a struct type: >>> pa.struct([field]) StructType(struct) A str can also be passed for the type parameter: >>> pa.field('key', 'int32') pyarrow.Fieldencode_file_path(path)Table.validate(self, *, full=False) Perform validation checks. An exception is raised if validation fails. By default only cheap validation checks are run. Pass `full=True` for thorough validation checks (potentially O(n)). Parameters ---------- full : bool, default False If True, run expensive checks, otherwise cheap checks only. Raises ------ ArrowInvalidMessageReader.__setstate_cython__(self, __pyx_state)Table.rename_columns(self, names) Create new table with columns renamed to provided names. Parameters ---------- names : list[str] or dict[str, str] List of new column names or mapping of old column names to new column names. If a mapping of old to new column names is passed, then all columns which are found to match a provided old column name will be renamed to the new column name. If any column names are not found in the mapping, a KeyError will be raised. Raises ------ KeyError If any of the column names passed in the names mapping do not exist. Returns ------- Table Examples -------- >>> import pyarrow as pa >>> table = pa.table({'n_legs': [2, 4, 5, 100], ... 'animals': ["Flamingo", "Horse", "Brittle stars", "Centipede"]}) >>> new_names = ["n", "name"] >>> table.rename_columns(new_names) pyarrow.Table n: int64 name: string ---- n: [[2,4,5,100]] name: [["Flamingo","Horse","Brittle stars","Centipede"]] >>> new_names = {"n_legs": "n", "animals": "name"} >>> table.rename_columns(new_names) pyarrow.Table n: int64 name: string ---- n: [[2,4,5,100]] name: [["Flamingo","Horse","Brittle stars","Centipede"]]Array.is_null(self, *, nan_is_null=False) Return BooleanArray indicating the null values. Parameters ---------- nan_is_null : bool (optional, default False) Whether floating-point NaN values should also be considered null. Returns ------- array : boolean ArrayKeyValueMetadata.keys(self)RecordBatch.add_column(self, int i, field_, column) Add column to RecordBatch at position i. A new record batch is returned with the column added, the original record batch object is left unchanged. Parameters ---------- i : int Index to place the column at. field_ : str or Field If a string is passed then the type is deduced from the column data. column : Array or value coercible to array Column data. Returns ------- RecordBatch New record batch with the passed column added. Examples -------- >>> import pyarrow as pa >>> batch = pa.RecordBatch.from_arrays( ... [[2, 4, 5, 100], ["Flamingo", "Horse", "Brittle stars", "Centipede"]], ... names=['n_legs', 'animals']) Add column: >>> year = [2021, 2022, 2019, 2021] >>> batch.add_column(0,"year", year) pyarrow.RecordBatch year: int64 n_legs: int64 animals: string ---- year: [2021,2022,2019,2021] n_legs: [2,4,5,100] animals: ["Flamingo","Horse","Brittle stars","Centipede"] Original record batch is left unchanged: >>> batch pyarrow.RecordBatch n_legs: int64 animals: string ---- n_legs: [2,4,5,100] animals: ["Flamingo","Horse","Brittle stars","Centipede"]ChunkedArray.is_valid(self) Return boolean array indicating the non-null values. Examples -------- >>> import pyarrow as pa >>> n_legs = pa.chunked_array([[2, 2, 4], [4, None, 100]]) >>> n_legs.is_valid() [ [ true, true, true ], [ true, false, true ] ]RecordBatch._export_to_c(self, out_ptr, out_schema_ptr=0) Export to a C ArrowArray struct, given its pointer. If a C ArrowSchema struct pointer is also given, the record batch schema is exported to it at the same time. Parameters ---------- out_ptr: int The raw pointer to a C ArrowArray struct. out_schema_ptr: int (optional) The raw pointer to a C ArrowSchema struct. Be careful: if you don't pass the ArrowArray struct to a consumer, array memory will leak. This is a low-level function intended for expert users.Field._export_to_c(self, out_ptr) Export to a C ArrowSchema struct, given its pointer. Be careful: if you don't pass the ArrowSchema struct to a consumer, its memory will leak. This is a low-level function intended for expert users.bool_() Create instance of boolean type. Examples -------- Create an instance of a boolean type: >>> import pyarrow as pa >>> pa.bool_() DataType(bool) >>> print(pa.bool_()) bool Create a ``Field`` type with a boolean type and a name: >>> pa.field('bool_field', pa.bool_()) pyarrow.FieldMapScalar.__iter__(self) Iterate over this element's values.MapArray.from_arrays(offsets, keys, items, DataType type=None, MemoryPool pool=None, mask=None) Construct MapArray from arrays of int32 offsets and key, item arrays. Parameters ---------- offsets : array-like or sequence (int32 type) keys : array-like or sequence (any type) items : array-like or sequence (any type) type : DataType, optional If not specified, a default MapArray with the keys' and items' type is used. pool : MemoryPool mask : Array (boolean type), optional Indicate which values are null (True) or not null (False). Returns ------- map_array : MapArray Examples -------- First, let's understand the structure of our dataset when viewed in a rectangular data model. The total of 5 respondents answered the question "How much did you like the movie x?". The value -1 in the integer array means that the value is missing. The boolean array represents the null bitmask corresponding to the missing values in the integer array. >>> import pyarrow as pa >>> movies_rectangular = np.ma.masked_array([ ... [10, -1, -1], ... [8, 4, 5], ... [-1, 10, 3], ... [-1, -1, -1], ... [-1, -1, -1] ... ], ... [ ... [False, True, True], ... [False, False, False], ... [True, False, False], ... [True, True, True], ... [True, True, True], ... ]) To represent the same data with the MapArray and from_arrays, the data is formed like this: >>> offsets = [ ... 0, # -- row 1 start ... 1, # -- row 2 start ... 4, # -- row 3 start ... 6, # -- row 4 start ... 6, # -- row 5 start ... 6, # -- row 5 end ... ] >>> movies = [ ... "Dark Knight", # ---------------------------------- row 1 ... "Dark Knight", "Meet the Parents", "Superman", # -- row 2 ... "Meet the Parents", "Superman", # ----------------- row 3 ... ] >>> likings = [ ... 10, # -------- row 1 ... 8, 4, 5, # --- row 2 ... 10, 3 # ------ row 3 ... ] >>> pa.MapArray.from_arrays(offsets, movies, likings).to_pandas() 0 [(Dark Knight, 10)] 1 [(Dark Knight, 8), (Meet the Parents, 4), (Sup... 2 [(Meet the Parents, 10), (Superman, 3)] 3 [] 4 [] dtype: object If the data in the empty rows needs to be marked as missing, it's possible to do so by modifying the offsets argument, so that we specify `None` as the starting positions of the rows we want marked as missing. The end row offset still has to refer to the existing value from keys (and values): >>> offsets = [ ... 0, # ----- row 1 start ... 1, # ----- row 2 start ... 4, # ----- row 3 start ... None, # -- row 4 start ... None, # -- row 5 start ... 6, # ----- row 5 end ... ] >>> pa.MapArray.from_arrays(offsets, movies, likings).to_pandas() 0 [(Dark Knight, 10)] 1 [(Dark Knight, 8), (Meet the Parents, 4), (Sup... 2 [(Meet the Parents, 10), (Superman, 3)] 3 None 4 None dtype: objectinfer_type(values, mask=None, from_pandas=False) Attempt to infer Arrow data type that can hold the passed Python sequence type in an Array object Parameters ---------- values : array-like Sequence to infer type from. mask : ndarray (bool type), optional Optional exclusion mask where True marks null, False non-null. from_pandas : bool, default False Use pandas's NA/null sentinel values for type inference. Returns ------- type : DataTypeArray.copy_to(self, destination) Construct a copy of the array with all buffers on destination device. This method recursively copies the array's buffers and those of its children onto the destination MemoryManager device and returns the new Array. Parameters ---------- destination : pyarrow.MemoryManager or pyarrow.Device The destination device to copy the array to. Returns ------- Arrayis_float_value(obj) Check if the object is a float. Parameters ---------- obj : object The object to checkFixedSizeBinaryType.__reduce__(self)NativeFile.__enter__(self)large_list(value_type) -> LargeListType Create LargeListType instance from child data type or field. This data type may not be supported by all Arrow implementations. Unless you need to represent data larger than 2**31 elements, you should prefer list_(). Parameters ---------- value_type : DataType or Field Returns ------- list_type : DataType Examples -------- Create an instance of LargeListType: >>> import pyarrow as pa >>> pa.large_list(pa.int8()) LargeListType(large_list) Use the LargeListType to create an array: >>> pa.array([[-1, 3]] * 5, type=pa.large_list(pa.int8())) [ [ -1, 3 ], [ -1, 3 ], ...DictionaryMemo.__setstate_cython__(self, __pyx_state)Array.cast(self, target_type=None, safe=None, options=None, memory_pool=None) Cast array values to another data type See :func:`pyarrow.compute.cast` for usage. Parameters ---------- target_type : DataType, default None Type to cast array to. safe : boolean, default True Whether to check for conversion errors such as overflow. options : CastOptions, default None Additional checks pass by CastOptions memory_pool : MemoryPool, optional memory pool to use for allocations during function execution. Returns ------- cast : ArrayDataType.__reduce__(self)frombytes(o, *, safe=False) Decode the given bytestring to unicode. Parameters ---------- o : bytes-like Input object. safe : bool, default False If true, raise on encoding errors.RecordBatchReader.iter_batches_with_custom_metadata(self) Iterate over record batches from the stream along with their custom metadata. Yields ------ RecordBatchWithMetadata_Tabular.remove_column(self, int i)SparseCSFTensor.__setstate_cython__(self, __pyx_state)Schema._field(self, int i) Select a field by its numeric index. Parameters ---------- i : int Returns ------- pyarrow.FieldFixedShapeTensorArray.to_numpy_ndarray(self) Convert fixed shape tensor extension array to a multi-dimensional numpy.ndarray. The resulting ndarray will have (ndim + 1) dimensions. The size of the first dimension will be the length of the fixed shape tensor array and the rest of the dimensions will match the permuted shape of the fixed shape tensor. The conversion is zero-copy. Returns ------- numpy.ndarray Ndarray representing tensors in the fixed shape tensor array concatenated along the first dimension.RecordBatch.replace_schema_metadata(self, metadata=None) Create shallow copy of record batch by replacing schema key-value metadata with the indicated new metadata (which may be None, which deletes any existing metadata Parameters ---------- metadata : dict, default None Returns ------- shallow_copy : RecordBatch Examples -------- >>> import pyarrow as pa >>> n_legs = pa.array([2, 2, 4, 4, 5, 100]) Constructing a RecordBatch with schema and metadata: >>> my_schema = pa.schema([ ... pa.field('n_legs', pa.int64())], ... metadata={"n_legs": "Number of legs per animal"}) >>> batch = pa.RecordBatch.from_arrays([n_legs], schema=my_schema) >>> batch.schema n_legs: int64 -- schema metadata -- n_legs: 'Number of legs per animal' Shallow copy of a RecordBatch with deleted schema metadata: >>> batch.replace_schema_metadata().schema n_legs: int64Field.flatten(self) Flatten this field. If a struct field, individual child fields will be returned with their names prefixed by the parent's name. Returns ------- fields : List[pyarrow.Field] Examples -------- >>> import pyarrow as pa >>> f1 = pa.field('bar', pa.float64(), nullable=False) >>> f2 = pa.field('foo', pa.int32()).with_metadata({"key": "Something important"}) >>> ff = pa.field('ff', pa.struct([f1, f2]), nullable=False) Flatten a struct field: >>> ff pyarrow.Field not null> >>> ff.flatten() [pyarrow.Field, pyarrow.Field]_Tabular.add_column(self, int i, field_, column)RecordBatch._export_to_c_device(self, out_ptr, out_schema_ptr=0) Export to a C ArrowDeviceArray struct, given its pointer. If a C ArrowSchema struct pointer is also given, the record batch schema is exported to it at the same time. Parameters ---------- out_ptr: int The raw pointer to a C ArrowDeviceArray struct. out_schema_ptr: int (optional) The raw pointer to a C ArrowSchema struct. Be careful: if you don't pass the ArrowDeviceArray struct to a consumer, array memory will leak. This is a low-level function intended for expert users.Message.serialize(self, alignment=8, memory_pool=None) Write message as encapsulated IPC message Parameters ---------- alignment : int, default 8 Byte alignment for metadata and body memory_pool : MemoryPool, default None Uses default memory pool if not specified Returns ------- serialized : BufferUInt32Scalar.as_py(self, *, maps_as_pydicts=None) Return this value as a Python int. Parameters ---------- maps_as_pydicts : str, optional, default `None` Valid values are `None`, 'lossy', or 'strict'. This parameter is ignored for non-nested Scalars.MonthDayNanoIntervalScalar.as_py(self, *, maps_as_pydicts=None) Return this value as a pyarrow.MonthDayNano. Parameters ---------- maps_as_pydicts : str, optional, default `None` Valid values are `None`, 'lossy', or 'strict'. This parameter is ignored for non-nested Scalars.CompressedOutputStream.__setstate_cython__(self, __pyx_state)Tensor.__dlpack_device__(self) Return the DLPack device tuple this tensor resides on. Returns ------- tuple : Tuple[int, int] Tuple with index specifying the type of the device (where CPU = 1, see cpp/src/arrow/c/dpack_abi.h) and index of the device which is 0 by default for CPU._normalize_slice(arrow_obj, slice key) Slices with step not equal to 1 (or None) will produce a copy rather than a zero-copy viewStringBuilder.__reduce_cython__(self)is_opentelemetry_enabled() -> bool Returns True if OpenTelemetry is enabled in libarrow.StringBuilder.append_values(self, values) Append all the values from an iterable. Parameters ---------- values : iterable of string/bytes or np.nan/None values The values to append to the string array builder.Array._import_from_c_capsule(schema_capsule, array_capsule)float64() Create double-precision floating point type. Examples -------- Create an instance of float64 type: >>> import pyarrow as pa >>> pa.float64() DataType(double) >>> print(pa.float64()) double Create an array with float64 type: >>> pa.array([0.0, 1.0, 2.0], type=pa.float64()) [ 0, 1, 2 ]MockOutputStream.__reduce_cython__(self)DataType._import_from_c(in_ptr) Import DataType from a C ArrowSchema struct, given its pointer. This is a low-level function intended for expert users.Table._column(self, int i) Select a column by its numeric index. Parameters ---------- i : int The index of the column to retrieve. Returns ------- ChunkedArrayfixed_shape_tensor(DataType value_type, shape, dim_names=None, permutation=None) Create instance of fixed shape tensor extension type with shape and optional names of tensor dimensions and indices of the desired logical ordering of dimensions. Parameters ---------- value_type : DataType Data type of individual tensor elements. shape : tuple or list of integers The physical shape of the contained tensors. dim_names : tuple or list of strings, default None Explicit names to tensor dimensions. permutation : tuple or list integers, default None Indices of the desired ordering of the original dimensions. The indices contain a permutation of the values ``[0, 1, .., N-1]`` where N is the number of dimensions. The permutation indicates which dimension of the logical layout corresponds to which dimension of the physical tensor. For more information on this parameter see :ref:`fixed_shape_tensor_extension`. Examples -------- Create an instance of fixed shape tensor extension type: >>> import pyarrow as pa >>> tensor_type = pa.fixed_shape_tensor(pa.int32(), [2, 2]) >>> tensor_type FixedShapeTensorType(extension) Inspect the data type: >>> tensor_type.value_type DataType(int32) >>> tensor_type.shape [2, 2] Create a table with fixed shape tensor extension array: >>> arr = [[1, 2, 3, 4], [10, 20, 30, 40], [100, 200, 300, 400]] >>> storage = pa.array(arr, pa.list_(pa.int32(), 4)) >>> tensor = pa.ExtensionArray.from_storage(tensor_type, storage) >>> pa.table([tensor], names=["tensor_array"]) pyarrow.Table tensor_array: extension ---- tensor_array: [[[1,2,3,4],[10,20,30,40],[100,200,300,400]]] Create an instance of fixed shape tensor extension type with names of tensor dimensions: >>> tensor_type = pa.fixed_shape_tensor(pa.int8(), (2, 2, 3), ... dim_names=['C', 'H', 'W']) >>> tensor_type.dim_names ['C', 'H', 'W'] Create an instance of fixed shape tensor extension type with permutation: >>> tensor_type = pa.fixed_shape_tensor(pa.int8(), (2, 2, 3), ... permutation=[0, 2, 1]) >>> tensor_type.permutation [0, 2, 1] Returns ------- type : FixedShapeTensorType_RecordBatchFileReader.get_batch_with_custom_metadata(self, int i) Read the record batch with the given index along with its custom metadata Parameters ---------- i : int The index of the record batch in the IPC file. Returns ------- batch : RecordBatch custom_metadata : KeyValueMetadataSparseCSCMatrix.to_numpy(self) Convert arrow::SparseCSCMatrix to numpy.ndarrays with zero copyScalar.__reduce__(self)KeyValueMetadata.items(self)concat_arrays(arrays, MemoryPool memory_pool=None) Concatenate the given arrays. The contents of the input arrays are copied into the returned array. Raises ------ ArrowInvalid If not all of the arrays have the same type. Parameters ---------- arrays : iterable of pyarrow.Array Arrays to concatenate, must be identically typed. memory_pool : MemoryPool, default None For memory allocations. If None, the default pool is used. Examples -------- >>> import pyarrow as pa >>> arr1 = pa.array([2, 4, 5, 100]) >>> arr2 = pa.array([2, 4]) >>> pa.concat_arrays([arr1, arr2]) [ 2, 4, 5, 100, 2, 4 ]ChunkedArray.get_total_buffer_size(self) The sum of bytes in each buffer referenced by the chunked array. An array may only reference a portion of a buffer. This method will overestimate in this case and return the byte size of the entire buffer. If a buffer is referenced multiple times then it will only be counted once. Examples -------- >>> import pyarrow as pa >>> n_legs = pa.chunked_array([[2, 2, 4], [4, None, 100]]) >>> n_legs.get_total_buffer_size() 49BaseListArray.flatten(self, recursive=False) Unnest this [Large]ListArray/[Large]ListViewArray/FixedSizeListArray according to 'recursive'. Note that this method is different from ``self.values`` in that it takes care of the slicing offset as well as null elements backed by non-empty sub-lists. Parameters ---------- recursive : bool, default False, optional When True, flatten this logical list-array recursively until an array of non-list values is formed. When False, flatten only the top level. Returns ------- result : Array Examples -------- Basic logical list-array's flatten >>> import pyarrow as pa >>> values = [1, 2, 3, 4] >>> offsets = [2, 1, 0] >>> sizes = [2, 2, 2] >>> array = pa.ListViewArray.from_arrays(offsets, sizes, values) >>> array [ [ 3, 4 ], [ 2, 3 ], [ 1, 2 ] ] >>> array.flatten() [ 3, 4, 2, 3, 1, 2 ] When recursive=True, nested list arrays are flattened recursively until an array of non-list values is formed. >>> array = pa.array([ ... None, ... [ ... [1, None, 2], ... None, ... [3, 4] ... ], ... [], ... [ ... [], ... [5, 6], ... None ... ], ... [ ... [7, 8] ... ] ... ], type=pa.list_(pa.list_(pa.int64()))) >>> array.flatten(True) [ 1, null, 2, 3, 4, 5, 6, 7, 8 ]ChunkedArray.index(self, value, start=None, end=None, *, memory_pool=None) Find the first index of a value. See :func:`pyarrow.compute.index` for full usage. Parameters ---------- value : Scalar or object The value to look for in the array. start : int, optional The start index where to look for `value`. end : int, optional The end index where to look for `value`. memory_pool : MemoryPool, optional A memory pool for potential memory allocations. Returns ------- index : Int64Scalar The index of the value in the array (-1 if not found). Examples -------- >>> import pyarrow as pa >>> n_legs = pa.chunked_array([[2, 2, 4], [4, 5, 100]]) >>> n_legs [ [ 2, 2, 4 ], [ 4, 5, 100 ] ] >>> n_legs.index(4) >>> n_legs.index(4, start=3) NativeFile._assert_readable(self)OSFile.__setstate_cython__(self, __pyx_state)FixedShapeTensorArray.to_tensor(self) Convert fixed shape tensor extension array to a pyarrow.Tensor. The resulting Tensor will have (ndim + 1) dimensions. The size of the first dimension will be the length of the fixed shape tensor array and the rest of the dimensions will match the permuted shape of the fixed shape tensor. The conversion is zero-copy. Returns ------- pyarrow.Tensor Tensor representing tensors in the fixed shape tensor array concatenated along the first dimension.Time32Scalar.as_py(self, *, maps_as_pydicts=None) Return this value as a Python datetime.timedelta instance. Parameters ---------- maps_as_pydicts : str, optional, default `None` Valid values are `None`, 'lossy', or 'strict'. This parameter is ignored for non-nested Scalars.ChunkedArray.filter(self, mask, null_selection_behavior='drop') Select values from the chunked array. See :func:`pyarrow.compute.filter` for full usage. Parameters ---------- mask : Array or array-like The boolean mask to filter the chunked array with. null_selection_behavior : str, default "drop" How nulls in the mask should be handled. Returns ------- filtered : Array or ChunkedArray An array of the same type, with only the elements selected by the boolean mask. Examples -------- >>> import pyarrow as pa >>> n_legs = pa.chunked_array([[2, 2, 4], [4, 5, 100]]) >>> n_legs [ [ 2, 2, 4 ], [ 4, 5, 100 ] ] >>> mask = pa.array([True, False, None, True, False, True]) >>> n_legs.filter(mask) [ [ 2 ], [ 4, 100 ] ] >>> n_legs.filter(mask, null_selection_behavior="emit_null") [ [ 2, null ], [ 4, 100 ] ]__pyx_unpickle__Tabular(__pyx_type, long __pyx_checksum, tuple __pyx_state)Int8Scalar.as_py(self, *, maps_as_pydicts=None) Return this value as a Python int. Parameters ---------- maps_as_pydicts : str, optional, default `None` Valid values are `None`, 'lossy', or 'strict'. This parameter is ignored for non-nested Scalars._Tabular.drop_null(self) Remove rows that contain missing values from a Table or RecordBatch. See :func:`pyarrow.compute.drop_null` for full usage. Returns ------- Table or RecordBatch A tabular object with the same schema, with rows containing no missing values. Examples -------- Table (works similarly for RecordBatch) >>> import pyarrow as pa >>> table = pa.table({'year': [None, 2022, 2019, 2021], ... 'n_legs': [2, 4, 5, 100], ... 'animals': ["Flamingo", "Horse", None, "Centipede"]}) >>> table.drop_null() pyarrow.Table year: int64 n_legs: int64 animals: string ---- year: [[2022,2021]] n_legs: [[4,100]] animals: [["Horse","Centipede"]]ExtensionArray.from_storage(BaseExtensionType typ, Array storage) Construct ExtensionArray from type and storage array. Parameters ---------- typ : DataType The extension type for the result array. storage : Array The underlying storage for the result array. Returns ------- ext_array : ExtensionArray_PandasAPIShim.get_values(self, obj) Get the underlying array values of a pandas Series or Index in the format (np.ndarray or pandas ExtensionArray) as we need them. Assumes obj is a pandas Series or Index. Initialize an extension type instance. This should be called at the end of the subclass' ``__init__`` method. SignalStopHandler.__enter__(self)Schema._import_from_c_capsule(schema) Import a Schema from a ArrowSchema PyCapsule Parameters ---------- schema : PyCapsule A valid PyCapsule with name 'arrow_schema' containing an ArrowSchema pointer.FixedShapeTensorType.__reduce__(self)UInt64Scalar.as_py(self, *, maps_as_pydicts=None) Return this value as a Python int. Parameters ---------- maps_as_pydicts : str, optional, default `None` Valid values are `None`, 'lossy', or 'strict'. This parameter is ignored for non-nested Scalars.DictionaryScalar._reconstruct(type, is_valid, index, dictionary)_Tabular._is_initialized(self)DataType.to_pandas_dtype(self) Return the equivalent NumPy / Pandas dtype. Examples -------- >>> import pyarrow as pa >>> pa.int64().to_pandas_dtype() ChunkedArray.is_nan(self) Return boolean array indicating the NaN values. Examples -------- >>> import pyarrow as pa >>> import numpy as np >>> arr = pa.chunked_array([[2, np.nan, 4], [4, None, 100]]) >>> arr.is_nan() [ [ false, true, false, false, null, false ] ]read_schema(obj, DictionaryMemo dictionary_memo=None) Read Schema from message or buffer Parameters ---------- obj : buffer or Message dictionary_memo : DictionaryMemo, optional Needed to be able to reconstruct dictionary-encoded fields with read_record_batch Returns ------- schema : SchemaNativeFile._assert_writable(self)00010203040506071011121314151617202122232425262730313233343536374041424344454647505152535455565760616263646566677071727374757677Array.is_valid(self) Return BooleanArray indicating the non-null values._PandasAPIShim.is_ge_v21(self)arrow.fixed_shape_tensorlist_view(value_type) -> ListViewType Create ListViewType instance from child data type or field. This data type may not be supported by all Arrow implementations because it is an alternative to the ListType. Parameters ---------- value_type : DataType or Field Returns ------- list_view_type : DataType Examples -------- Create an instance of ListViewType: >>> import pyarrow as pa >>> pa.list_view(pa.string()) ListViewType(list_view)allocate_buffer(int64_t size, MemoryPool memory_pool=None, resizable=False) Allocate a mutable buffer. Parameters ---------- size : int Number of bytes to allocate (plus internal padding) memory_pool : MemoryPool, optional The pool to allocate memory from. If not given, the default memory pool is used. resizable : bool, default False If true, the returned buffer is resizable. Returns ------- buffer : Buffer or ResizableBufferNativeFile.readable(self)Array.fill_null(self, fill_value) See :func:`pyarrow.compute.fill_null` for usage. Parameters ---------- fill_value : any The replacement value for null entries. Returns ------- result : Array A new array with nulls replaced by the given value.StructArray.sort(self, order='ascending', by=None, **kwargs) Sort the StructArray Parameters ---------- order : str, default "ascending" Which order to sort values in. Accepted values are "ascending", "descending". by : str or None, default None If to sort the array by one of its fields or by the whole array. **kwargs : dict, optional Additional sorting options. As allowed by :class:`SortOptions` Returns ------- result : StructArrayensure_type(ty, bool allow_none=False) -> DataTypeopaque(DataType storage_type, str type_name, str vendor_name) Create instance of opaque extension type. Parameters ---------- storage_type : DataType The underlying data type. type_name : str The name of the type in the external system. vendor_name : str The name of the external system. Examples -------- Create an instance of an opaque extension type: >>> import pyarrow as pa >>> type = pa.opaque(pa.binary(), "other", "jdbc") >>> type OpaqueType(extension) Inspect the data type: >>> type.storage_type DataType(binary) >>> type.type_name 'other' >>> type.vendor_name 'jdbc' Create a table with an opaque array: >>> arr = [None, b"foobar"] >>> storage = pa.array(arr, pa.binary()) >>> other = pa.ExtensionArray.from_storage(type, storage) >>> pa.table([other], names=["unknown_col"]) pyarrow.Table unknown_col: extension ---- unknown_col: [[null,666F6F626172]] Returns ------- type : OpaqueTypeKeyValueMetadata.key(self, i) Parameters ---------- i : int Returns ------- byteRecordBatch._is_initialized(self)Array.from_pandas(obj, mask=None, type=None, bool safe=True, MemoryPool memory_pool=None) Convert pandas.Series to an Arrow Array. This method uses Pandas semantics about what values indicate nulls. See pyarrow.array for more general conversion from arrays or sequences to Arrow arrays. Parameters ---------- obj : ndarray, pandas.Series, array-like mask : array (boolean), optional Indicate which values are null (True) or not null (False). type : pyarrow.DataType Explicit type to attempt to coerce to, otherwise will be inferred from the data. safe : bool, default True Check for overflows or other unsafe conversions. memory_pool : pyarrow.MemoryPool, optional If not passed, will allocate memory from the currently-set default memory pool. Notes ----- Localized timestamps will currently be returned as UTC (pandas's native representation). Timezone-naive data will be implicitly interpreted as UTC. Returns ------- array : pyarrow.Array or pyarrow.ChunkedArray ChunkedArray is returned if object data overflows binary buffer.DictionaryScalar.__reduce__(self)SparseCSRMatrix.from_dense_numpy(cls, obj, dim_names=None) Convert numpy.ndarray to arrow::SparseCSRMatrix Parameters ---------- obj : numpy.ndarray The dense numpy array that should be converted. dim_names : list, optional The names of the dimensions. Returns ------- pyarrow.SparseCSRMatrixruntime_info() Get runtime information. Returns ------- info : pyarrow.RuntimeInfoMapScalar.as_py(self, *, maps_as_pydicts=None) Return this value as a Python list or dict, depending on 'maps_as_pydicts'. Parameters ---------- maps_as_pydicts : str, optional, default `None` Valid values are `None`, 'lossy', or 'strict'. The default behavior (`None`), is to convert Arrow Map arrays to Python association lists (list-of-tuples) in the same order as the Arrow Map, as in [(key1, value1), (key2, value2), ...]. If 'lossy' or 'strict', convert Arrow Map arrays to native Python dicts. If 'lossy', whenever duplicate keys are detected, a warning will be printed. The last seen value of a duplicate key will be in the Python dictionary. If 'strict', this instead results in an exception being raised when detected.Tensor.from_numpy(obj, dim_names=None) Create a Tensor from a numpy array. Parameters ---------- obj : numpy.ndarray The source numpy array dim_names : list, optional Names of each dimension of the Tensor. Examples -------- >>> import pyarrow as pa >>> import numpy as np >>> x = np.array([[2, 2, 4], [4, 5, 100]], np.int32) >>> pa.Tensor.from_numpy(x, dim_names=["dim1","dim2"]) type: int32 shape: (2, 3) strides: (12, 4)_pc()NativeFile.read_at(self, nbytes, offset) Read indicated number of bytes at offset from the file Parameters ---------- nbytes : int offset : int Returns ------- data : bytesTensor.__dlpack__(self, stream=None) Export a Tensor as a DLPack capsule. Parameters ---------- stream : int, optional A Python integer representing a pointer to a stream. Currently not supported. Stream is provided by the consumer to the producer to instruct the producer to ensure that operations can safely be performed on the array. Returns ------- capsule : PyCapsule A DLPack capsule for the tensor, pointing to a DLManagedTensor.Table.to_batches(self, max_chunksize=None) Convert Table to a list of RecordBatch objects. Note that this method is zero-copy, it merely exposes the same data under a different API. Parameters ---------- max_chunksize : int, default None Maximum number of rows for each RecordBatch chunk. Individual chunks may be smaller depending on the chunk layout of individual columns. Returns ------- list[RecordBatch] Examples -------- >>> import pyarrow as pa >>> import pandas as pd >>> df = pd.DataFrame({'n_legs': [2, 4, 5, 100], ... 'animals': ["Flamingo", "Horse", "Brittle stars", "Centipede"]}) >>> table = pa.Table.from_pandas(df) Convert a Table to a RecordBatch: >>> table.to_batches()[0].to_pandas() n_legs animals 0 2 Flamingo 1 4 Horse 2 5 Brittle stars 3 100 Centipede Convert a Table to a list of RecordBatches: >>> table.to_batches(max_chunksize=2)[0].to_pandas() n_legs animals 0 2 Flamingo 1 4 Horse >>> table.to_batches(max_chunksize=2)[1].to_pandas() n_legs animals 0 5 Brittle stars 1 100 CentipedeRecordBatch.validate(self, *, full=False) Perform validation checks. An exception is raised if validation fails. By default only cheap validation checks are run. Pass `full=True` for thorough validation checks (potentially O(n)). Parameters ---------- full : bool, default False If True, run expensive checks, otherwise cheap checks only. Raises ------ ArrowInvalid_PandasAPIShim.is_data_frame(self, obj)benchmark_PandasObjectIsNull(list obj)NativeFile.upload(self, stream, buffer_size=None) Write from a source stream to this file. Parameters ---------- stream : file-like object Source stream to pipe to this file. buffer_size : int, optional The buffer size to use for data transfers.SparseCSRMatrix.from_scipy(obj, dim_names=None) Convert scipy.sparse.csr_array or scipy.sparse.csr_matrix to arrow::SparseCSRMatrix. Parameters ---------- obj : scipy.sparse.csr_array or scipy.sparse.csr_matrix The scipy matrix that should be converted. dim_names : list, optional Names of the dimensions._CRecordBatchWriter.__exit__(self, exc_type, exc_val, exc_tb)j,pg,###x,#׻#s,#Д##ppu,g#s#m#S#Y####@g,#Д#0#px,`)c#s#i#G#M####b,##l,0#Д#P#pHj,#Д#P#p؂,#Д#P##q,X#H#<##,#Д#P#ps,#s# #A#####,#Д#P#p,#Д#P#pp,P#s#3#####Ǽ#`,#Д#P#pv,#T#Ż#### q,H#8#Ż##غ##h,#Д#P#pw,@ټ#Ӽ#xd,#Д##p,#Д# #pw,߼#s##q#w####e,#Д#P#p,#d#Ż#t###,###(f,`#s######Ǽ#v,P,0#0####Ш#P,#Д##pؒ,@#s#-#}####Ǽ#,#Д#P#p8,#Д#P#p,#Д#P#p,U#O#a,#s#ͼ#####Ǽ#`e,Ⱥ##Ż####,#Д#P#P#,p@a#ս#[#Ͻ#ɽ#(,##t##~,p#s######Ǽ#z,A#ѻ##˻#@,#Д#P#pm,##,@#Д#P#p,#Д#P#p,(##Ż#(#|##,#Д#P#pd,#Д#P#p,#Д#P#pd,##pq,#Д#P#p(,@!#s#'#e#k####,ܹ##Ż#̹#d##X~,9#s#?#_#w####Ph,#ݻ##P,#Д#P#ph,@ 5##W###)#####]#Q# #P, 5###u#o#{######/#(,#hp,#Д#P#phf,Py#s###K####### ##e,#Д#P#p؅,#####Ш#ȕ,#Д#`#p,#Д#P#p~,0l,I#=#C#7#1#+#%####u,@#Д#P#pXb,##########`{,#Д##pf,#Д#P#po,#Д#P##t,P Unknown exceptionbad array new lengthbad variant 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*, bool allow_64bit=False, use_legacy_format=False, compression=None, bool use_threads=True, bool emit_dictionary_deltas=False, bool unify_dictionaries=False) Serialization options for the IPC format. Parameters ---------- metadata_version : MetadataVersion, default MetadataVersion.V5 The metadata version to write. V5 is the current and latest, V4 is the pre-1.0 metadata version (with incompatible Union layout). allow_64bit : bool, default False If true, allow field lengths that don't fit in a signed 32-bit int. use_legacy_format : bool, default False Whether to use the pre-Arrow 0.15 IPC format. compression : str, Codec, or None compression codec to use for record batch buffers. If None then batch buffers will be uncompressed. Must be "lz4", "zstd" or None. To specify a compression_level use `pyarrow.Codec` use_threads : bool Whether to use the global CPU thread pool to parallelize any computational tasks like compression. emit_dictionary_deltas : bool Whether to emit dictionary deltas. Default is false for maximum stream compatibility. unify_dictionaries : bool If true then calls to write_table will attempt to unify dictionaries across all batches in the table. This can help avoid the need for replacement dictionaries (which the file format does not support) but requires computing the unified dictionary and then remapping the indices arrays. This parameter is ignored when writing to the IPC stream format as the IPC stream format can support replacement dictionaries.ensure_native_endianensure_alignmentpyarrow.lib.IpcReadOptionsIpcReadOptions(bool ensure_native_endian=True, *, Alignment ensure_alignment=Alignment.Any, bool use_threads=True, list included_fields=None) Serialization options for reading IPC format. Parameters ---------- ensure_native_endian : bool, default True Whether to convert incoming data to platform-native endianness. ensure_alignment : Alignment, default Alignment.Any Data is copied to aligned memory locations if mis-aligned. Some use cases might require data to have a specific alignment, for example, for the data buffer of an int32 array to be aligned on a 4-byte boundary. use_threads : bool Whether to use the global CPU thread pool to parallelize any computational tasks like decompression included_fields : list If empty (the default), return all deserialized fields. If non-empty, the values are the indices of fields to read on the top-level schemabodypyarrow.lib.MessageMessage() Container for an Arrow IPC message with metadata and optional bodybackend_name The name of the backend used by this MemoryPool (e.g. "jemalloc"). pyarrow.lib.MemoryPoolMemoryPool() Base class for memory allocation. Besides tracking its number of allocated bytes, a memory pool also takes care of the required 64-byte alignment for Arrow data.idbit_width Bit width for fixed width type. Examples -------- >>> import pyarrow as pa >>> pa.int64() DataType(int64) >>> pa.int64().bit_width 64 byte_width Byte width for fixed width type. Examples -------- >>> import pyarrow as pa >>> pa.int64() DataType(int64) >>> pa.int64().byte_width 8 num_fields The number of child fields. Examples -------- >>> import pyarrow as pa >>> pa.int64() DataType(int64) >>> pa.int64().num_fields 0 >>> pa.list_(pa.string()) ListType(list) >>> pa.list_(pa.string()).num_fields 1 >>> struct = pa.struct({'x': pa.int32(), 'y': pa.string()}) >>> struct.num_fields 2 num_buffers Number of data buffers required to construct Array type excluding children. Examples -------- >>> import pyarrow as pa >>> pa.int64().num_buffers 2 >>> pa.string().num_buffers 3 has_variadic_buffers If True, the number of expected buffers is only lower-bounded by num_buffers. Examples -------- >>> import pyarrow as pa >>> pa.int64().has_variadic_buffers False >>> pa.string_view().has_variadic_buffers True pyarrow.lib.DataTypeDataType() Base class of all Arrow data types. Each data type is an *instance* of this class. Examples -------- Instance of int64 type: >>> import pyarrow as pa >>> pa.int64() DataType(int64)value_field The field for list values. Examples -------- >>> import pyarrow as pa >>> pa.list_(pa.string()).value_field pyarrow.Field The data type of list values. Examples -------- >>> import pyarrow as pa >>> pa.list_(pa.string()).value_type DataType(string) pyarrow.lib.ListType Concrete class for list data types. Examples -------- Create an instance of ListType: >>> import pyarrow as pa >>> pa.list_(pa.string()) ListType(list) The data type of large list values. Examples -------- >>> import pyarrow as pa >>> pa.large_list(pa.string()).value_type DataType(string) pyarrow.lib.LargeListType Concrete class for large list data types (like ListType, but with 64-bit offsets). Examples -------- Create an instance of LargeListType: >>> import pyarrow as pa >>> pa.large_list(pa.string()) LargeListType(large_list) The field for list view values. Examples -------- >>> import pyarrow as pa >>> pa.list_view(pa.string()).value_field pyarrow.Field The data type of list view values. Examples -------- >>> import pyarrow as pa >>> pa.list_view(pa.string()).value_type DataType(string) pyarrow.lib.ListViewType Concrete class for list view data types. Examples -------- Create an instance of ListViewType: >>> import pyarrow as pa >>> pa.list_view(pa.string()) ListViewType(list_view) The field for large list view values. Examples -------- >>> import pyarrow as pa >>> pa.large_list_view(pa.string()).value_field pyarrow.Field The data type of large list view values. Examples -------- >>> import pyarrow as pa >>> pa.large_list_view(pa.string()).value_type DataType(string) pyarrow.lib.LargeListViewType Concrete class for large list view data types (like ListViewType, but with 64-bit offsets). Examples -------- Create an instance of LargeListViewType: >>> import pyarrow as pa >>> pa.large_list_view(pa.string()) LargeListViewType(large_list_view) key_field The field for keys in the map entries. Examples -------- >>> import pyarrow as pa >>> pa.map_(pa.string(), pa.int32()).key_field pyarrow.Field key_type The data type of keys in the map entries. Examples -------- >>> import pyarrow as pa >>> pa.map_(pa.string(), pa.int32()).key_type DataType(string) item_field The field for items in the map entries. Examples -------- >>> import pyarrow as pa >>> pa.map_(pa.string(), pa.int32()).item_field pyarrow.Field item_type The data type of items in the map entries. Examples -------- >>> import pyarrow as pa >>> pa.map_(pa.string(), pa.int32()).item_type DataType(int32) keys_sorted Should the entries be sorted according to keys. Examples -------- >>> import pyarrow as pa >>> pa.map_(pa.string(), pa.int32(), keys_sorted=True).keys_sorted True pyarrow.lib.MapType Concrete class for map data types. Examples -------- Create an instance of MapType: >>> import pyarrow as pa >>> pa.map_(pa.string(), pa.int32()) MapType(map) >>> pa.map_(pa.string(), pa.int32(), keys_sorted=True) MapType(map) The field for list values. Examples -------- >>> import pyarrow as pa >>> pa.list_(pa.int32(), 2).value_field pyarrow.Field The data type of large list values. Examples -------- >>> import pyarrow as pa >>> pa.list_(pa.int32(), 2).value_type DataType(int32) list_size The size of the fixed size lists. Examples -------- >>> import pyarrow as pa >>> pa.list_(pa.int32(), 2).list_size 2 pyarrow.lib.FixedSizeListType Concrete class for fixed size list data types. Examples -------- Create an instance of FixedSizeListType: >>> import pyarrow as pa >>> pa.list_(pa.int32(), 2) FixedSizeListType(fixed_size_list[2]) names Lists the field names. Examples -------- >>> import pyarrow as pa >>> struct_type = pa.struct([('a', pa.int64()), ('b', pa.float64()), ('c', pa.string())]) >>> struct_type.names ['a', 'b', 'c'] fields Lists all fields within the StructType. Examples -------- >>> import pyarrow as pa >>> struct_type = pa.struct([('a', pa.int64()), ('b', pa.float64()), ('c', pa.string())]) >>> struct_type.fields [pyarrow.Field, pyarrow.Field, pyarrow.Field] pyarrow.lib.StructType Concrete class for struct data types. ``StructType`` supports direct indexing using ``[...]`` (implemented via ``__getitem__``) to access its fields. It will return the struct field with the given index or name. Examples -------- >>> import pyarrow as pa Accessing fields using direct indexing: >>> struct_type = pa.struct({'x': pa.int32(), 'y': pa.string()}) >>> struct_type[0] pyarrow.Field >>> struct_type['y'] pyarrow.Field Accessing fields using ``field()``: >>> struct_type.field(1) pyarrow.Field >>> struct_type.field('x') pyarrow.Field # Creating a schema from the struct type's fields: >>> pa.schema(list(struct_type)) x: int32 y: string pyarrow.lib.DictionaryMemo Tracking container for dictionary-encoded fields. ordered Whether the dictionary is ordered, i.e. whether the ordering of values in the dictionary is important. Examples -------- >>> import pyarrow as pa >>> pa.dictionary(pa.int64(), pa.utf8()).ordered False index_type The data type of dictionary indices (a signed integer type). Examples -------- >>> import pyarrow as pa >>> pa.dictionary(pa.int16(), pa.utf8()).index_type DataType(int16) The dictionary value type. The dictionary values are found in an instance of DictionaryArray. Examples -------- >>> import pyarrow as pa >>> pa.dictionary(pa.int16(), pa.utf8()).value_type DataType(string) pyarrow.lib.DictionaryType Concrete class for dictionary data types. Examples -------- Create an instance of dictionary type: >>> import pyarrow as pa >>> pa.dictionary(pa.int64(), pa.utf8()) DictionaryType(dictionary) unit The timestamp unit ('s', 'ms', 'us' or 'ns'). Examples -------- >>> import pyarrow as pa >>> t = pa.timestamp('us') >>> t.unit 'us' tz The timestamp time zone, if any, or None. Examples -------- >>> import pyarrow as pa >>> t = pa.timestamp('s', tz='UTC') >>> t.tz 'UTC' pyarrow.lib.TimestampType Concrete class for timestamp data types. Examples -------- >>> import pyarrow as pa Create an instance of timestamp type: >>> pa.timestamp('us') TimestampType(timestamp[us]) Create an instance of timestamp type with timezone: >>> pa.timestamp('s', tz='UTC') TimestampType(timestamp[s, tz=UTC]) The time unit ('s' or 'ms'). Examples -------- >>> import pyarrow as pa >>> t = pa.time32('ms') >>> t.unit 'ms' pyarrow.lib.Time32Type Concrete class for time32 data types. Supported time unit resolutions are 's' [second] and 'ms' [millisecond]. Examples -------- Create an instance of time32 type: >>> import pyarrow as pa >>> pa.time32('ms') Time32Type(time32[ms]) The time unit ('us' or 'ns'). Examples -------- >>> import pyarrow as pa >>> t = pa.time64('us') >>> t.unit 'us' pyarrow.lib.Time64Type Concrete class for time64 data types. Supported time unit resolutions are 'us' [microsecond] and 'ns' [nanosecond]. Examples -------- Create an instance of time64 type: >>> import pyarrow as pa >>> pa.time64('us') Time64Type(time64[us]) The duration unit ('s', 'ms', 'us' or 'ns'). Examples -------- >>> import pyarrow as pa >>> t = pa.duration('s') >>> t.unit 's' pyarrow.lib.DurationType Concrete class for duration data types. Examples -------- Create an instance of duration type: >>> import pyarrow as pa >>> pa.duration('s') DurationType(duration[s]) pyarrow.lib.FixedSizeBinaryType Concrete class for fixed-size binary data types. Examples -------- Create an instance of fixed-size binary type: >>> import pyarrow as pa >>> pa.binary(3) FixedSizeBinaryType(fixed_size_binary[3]) precision The decimal precision, in number of decimal digits (an integer). Examples -------- >>> import pyarrow as pa >>> t = pa.decimal32(5, 2) >>> t.precision 5 scale The decimal scale (an integer). Examples -------- >>> import pyarrow as pa >>> t = pa.decimal32(5, 2) >>> t.scale 2 pyarrow.lib.Decimal32Type Concrete class for decimal32 data types. Examples -------- Create an instance of decimal32 type: >>> import pyarrow as pa >>> pa.decimal32(5, 2) Decimal32Type(decimal32(5, 2)) The decimal precision, in number of decimal digits (an integer). Examples -------- >>> import pyarrow as pa >>> t = pa.decimal64(5, 2) >>> t.precision 5 The decimal scale (an integer). Examples -------- >>> import pyarrow as pa >>> t = pa.decimal64(5, 2) >>> t.scale 2 pyarrow.lib.Decimal64Type Concrete class for decimal64 data types. Examples -------- Create an instance of decimal64 type: >>> import pyarrow as pa >>> pa.decimal64(5, 2) Decimal64Type(decimal64(5, 2)) The decimal precision, in number of decimal digits (an integer). Examples -------- >>> import pyarrow as pa >>> t = pa.decimal128(5, 2) >>> t.precision 5 The decimal scale (an integer). Examples -------- >>> import pyarrow as pa >>> t = pa.decimal128(5, 2) >>> t.scale 2 pyarrow.lib.Decimal128Type Concrete class for decimal128 data types. Examples -------- Create an instance of decimal128 type: >>> import pyarrow as pa >>> pa.decimal128(5, 2) Decimal128Type(decimal128(5, 2)) The decimal precision, in number of decimal digits (an integer). Examples -------- >>> import pyarrow as pa >>> t = pa.decimal256(76, 38) >>> t.precision 76 The decimal scale (an integer). Examples -------- >>> import pyarrow as pa >>> t = pa.decimal256(76, 38) >>> t.scale 38 pyarrow.lib.Decimal256Type Concrete class for decimal256 data types. Examples -------- Create an instance of decimal256 type: >>> import pyarrow as pa >>> pa.decimal256(76, 38) Decimal256Type(decimal256(76, 38)) run_end_typepyarrow.lib.RunEndEncodedType Concrete class for run-end encoded types. extension_name The extension type name. The underlying storage type. The byte width of the extension type. The bit width of the extension type. pyarrow.lib.BaseExtensionType Concrete base class for extension types. pyarrow.lib.ExtensionTypeExtensionType(DataType storage_type, extension_name) Concrete base class for Python-defined extension types. Parameters ---------- storage_type : DataType The underlying storage type for the extension type. extension_name : str A unique name distinguishing this extension type. The name will be used when deserializing IPC data. Examples -------- Define a RationalType extension type subclassing ExtensionType: >>> import pyarrow as pa >>> class RationalType(pa.ExtensionType): ... def __init__(self, data_type: pa.DataType): ... if not pa.types.is_integer(data_type): ... raise TypeError(f"data_type must be an integer type not {data_type}") ... super().__init__( ... pa.struct( ... [ ... ("numer", data_type), ... ("denom", data_type), ... ], ... ), ... # N.B. This name does _not_ reference `data_type` so deserialization ... # will work for _any_ integer `data_type` after registration ... "my_package.rational", ... ) ... def __arrow_ext_serialize__(self) -> bytes: ... # No parameters are necessary ... return b"" ... @classmethod ... def __arrow_ext_deserialize__(cls, storage_type, serialized): ... # return an instance of this subclass ... return RationalType(storage_type[0].type) Register the extension type: >>> pa.register_extension_type(RationalType(pa.int64())) Create an instance of RationalType extension type: >>> rational_type = RationalType(pa.int32()) Inspect the extension type: >>> rational_type.extension_name 'my_package.rational' >>> rational_type.storage_type StructType(struct) Wrap an array as an extension array: >>> storage_array = pa.array( ... [ ... {"numer": 10, "denom": 17}, ... {"numer": 20, "denom": 13}, ... ], ... type=rational_type.storage_type ... ) >>> rational_array = rational_type.wrap_array(storage_array) >>> rational_array -- is_valid: all not null -- child 0 type: int32 [ 10, 20 ] -- child 1 type: int32 [ 17, 13 ] Or do the same with creating an ExtensionArray: >>> rational_array = pa.ExtensionArray.from_storage(rational_type, storage_array) >>> rational_array -- is_valid: all not null -- child 0 type: int32 [ 10, 20 ] -- child 1 type: int32 [ 17, 13 ] Unregister the extension type: >>> pa.unregister_extension_type("my_package.rational") Note that even though we registered the concrete type ``RationalType(pa.int64())``, PyArrow will be able to deserialize ``RationalType(integer_type)`` for any ``integer_type``, as the deserializer will reference the name ``my_package.rational`` and the ``@classmethod`` ``__arrow_ext_deserialize__``. Data type of an individual tensor. Shape of the tensors. dim_names Explicit names of the dimensions. permutation Indices of the dimensions ordering. pyarrow.lib.FixedShapeTensorType Concrete class for fixed shape tensor extension type. Examples -------- Create an instance of fixed shape tensor extension type: >>> import pyarrow as pa >>> pa.fixed_shape_tensor(pa.int32(), [2, 2]) FixedShapeTensorType(extension) Create an instance of fixed shape tensor extension type with permutation: >>> tensor_type = pa.fixed_shape_tensor(pa.int8(), (2, 2, 3), ... permutation=[0, 2, 1]) >>> tensor_type.permutation [0, 2, 1] pyarrow.lib.Bool8Type Concrete class for bool8 extension type. Bool8 is an alternate representation for boolean arrays using 8 bits instead of 1 bit per value. The underlying storage type is int8. Examples -------- Create an instance of bool8 extension type: >>> import pyarrow as pa >>> pa.bool8() Bool8Type(extension) The name of the type in the external system. The name of the external system. pyarrow.lib.OpaqueType Concrete class for opaque extension type. Opaque is a placeholder for a type from an external (often non-Arrow) system that could not be interpreted. Examples -------- Create an instance of opaque extension type: >>> import pyarrow as pa >>> pa.opaque(pa.int32(), "geometry", "postgis") OpaqueType(extension) pyarrow.lib.UuidType Concrete class for UUID extension type. pyarrow.lib.JsonType Concrete class for JSON extension type. Examples -------- Define the extension type for JSON array >>> import pyarrow as pa >>> json_type = pa.json_(pa.large_utf8()) Create an extension array >>> arr = [None, '{ "id":30, "values":["a", "b"] }'] >>> storage = pa.array(arr, pa.large_utf8()) >>> pa.ExtensionArray.from_storage(json_type, storage) [ null, "{ "id":30, "values":["a", "b"] }" ] pyarrow.lib._Metadatapyarrow.lib.KeyValueMetadataKeyValueMetadata(__arg0__=None, **kwargs) KeyValueMetadata Parameters ---------- __arg0__ : dict A dict of the key-value metadata **kwargs : optional additional key-value metadatanullable The field nullability. Examples -------- >>> import pyarrow as pa >>> f1 = pa.field('key', pa.int32()) >>> f2 = pa.field('key', pa.int32(), nullable=False) >>> f1.nullable True >>> f2.nullable False name The field name. Examples -------- >>> import pyarrow as pa >>> field = pa.field('key', pa.int32()) >>> field.name 'key' The field metadata (if any is set). Returns ------- metadata : dict or None Examples -------- >>> import pyarrow as pa >>> field = pa.field('key', pa.int32(), ... metadata={"key": "Something important"}) >>> field.metadata {b'key': b'Something important'} pyarrow.lib.FieldField() A named field, with a data type, nullability, and optional metadata. Notes ----- Do not use this class's constructor directly; use pyarrow.field Examples -------- Create an instance of pyarrow.Field: >>> import pyarrow as pa >>> pa.field('key', pa.int32()) pyarrow.Field >>> pa.field('key', pa.int32(), nullable=False) pyarrow.Field >>> field = pa.field('key', pa.int32(), ... metadata={"key": "Something important"}) >>> field pyarrow.Field >>> field.metadata {b'key': b'Something important'} Use the field to create a struct type: >>> pa.struct([field]) StructType(struct)pandas_metadata Return deserialized-from-JSON pandas metadata field (if it exists) Examples -------- >>> import pyarrow as pa >>> import pandas as pd >>> df = pd.DataFrame({'n_legs': [2, 4, 5, 100], ... 'animals': ["Flamingo", "Horse", "Brittle stars", "Centipede"]}) >>> schema = pa.Table.from_pandas(df).schema Select pandas metadata field from Arrow Schema: >>> schema.pandas_metadata {'index_columns': [{'kind': 'range', 'name': None, 'start': 0, 'stop': 4, 'step': 1}], ... The schema's field names. Returns ------- list of str Examples -------- >>> import pyarrow as pa >>> schema = pa.schema([ ... pa.field('n_legs', pa.int64()), ... pa.field('animals', pa.string())]) Get the names of the schema's fields: >>> schema.names ['n_legs', 'animals'] The schema's field types. Returns ------- list of DataType Examples -------- >>> import pyarrow as pa >>> schema = pa.schema([ ... pa.field('n_legs', pa.int64()), ... pa.field('animals', pa.string())]) Get the types of the schema's fields: >>> schema.types [DataType(int64), DataType(string)] The schema's metadata (if any is set). Returns ------- metadata: dict or None Examples -------- >>> import pyarrow as pa >>> schema = pa.schema([ ... pa.field('n_legs', pa.int64()), ... pa.field('animals', pa.string())], ... metadata={"n_legs": "Number of legs per animal"}) Get the metadata of the schema's fields: >>> schema.metadata {b'n_legs': b'Number of legs per animal'} pyarrow.lib.SchemaSchema() A named collection of types a.k.a schema. A schema defines the column names and types in a record batch or table data structure. They also contain metadata about the columns. For example, schemas converted from Pandas contain metadata about their original Pandas types so they can be converted back to the same types. Warnings -------- Do not call this class's constructor directly. Instead use :func:`pyarrow.schema` factory function which makes a new Arrow Schema object. Examples -------- Create a new Arrow Schema object: >>> import pyarrow as pa >>> pa.schema([ ... ('some_int', pa.int32()), ... ('some_string', pa.string()) ... ]) some_int: int32 some_string: string Create Arrow Schema with metadata: >>> pa.schema([ ... pa.field('n_legs', pa.int64()), ... pa.field('animals', pa.string())], ... metadata={"n_legs": "Number of legs per animal"}) n_legs: int64 animals: string -- schema metadata -- n_legs: 'Number of legs per animal'__add____truediv____mul____sub____and____or____xor____lshift____rshift__ Data type of the Scalar object. Holds a valid (non-null) value. pyarrow.lib.ScalarScalar() The base class for scalars. Notes ----- This class supports Python's standard operators for element-wise operations, i.e. arithmetic (`+`, `-`, `/`, `%`, `**`), bitwise (`&`, `|`, `^`, `>>`, `<<`) and others. They can be used directly instead of calling underlying `pyarrow.compute` functions explicitly. Examples -------- >>> import pyarrow as pa >>> pa.scalar(42) + pa.scalar(17) >>> pa.scalar(6) ** 3 >>> arr = pa.array([1, 2, 3], type=pa.int8()) >>> val = pa.scalar(42) >>> val - arr [ 41, 40, 39 ]null_count The number of nulls. is_null_count_exact Whether the number of null values is a valid exact value or not. distinct_count The number of distinct values. is_distinct_count_exact Whether the number of distinct values is a valid exact value or not. min The minimum value. is_min_exact Whether the minimum value is an exact value or not. max The maximum value. is_max_exact Whether the maximum value is an exact value or not. pyarrow.lib.ArrayStatisticsArrayStatistics() The class for statistics of an array.pyarrow.lib._PandasConvertiblenbytes Total number of bytes consumed by the elements of the array. In other words, the sum of bytes from all buffer ranges referenced. Unlike `get_total_buffer_size` this method will account for array offsets. If buffers are shared between arrays then the shared portion will be counted multiple times. The dictionary of dictionary arrays will always be counted in their entirety even if the array only references a portion of the dictionary. offset A relative position into another array's data. The purpose is to enable zero-copy slicing. This value defaults to zero but must be applied on all operations with the physical storage buffers. device_type The device type where the array resides. Returns ------- DeviceAllocationType is_cpu Whether the array is CPU-accessible. statistics Statistics of the array. pyarrow.lib.ArrayArray() The base class for all Arrow arrays. Names of this tensor dimensions. Examples -------- >>> import pyarrow as pa >>> import numpy as np >>> x = np.array([[2, 2, 4], [4, 5, 100]], np.int32) >>> tensor = pa.Tensor.from_numpy(x, dim_names=["dim1","dim2"]) >>> tensor.dim_names ['dim1', 'dim2'] is_mutable Is this tensor mutable or immutable. Examples -------- >>> import pyarrow as pa >>> import numpy as np >>> x = np.array([[2, 2, 4], [4, 5, 100]], np.int32) >>> tensor = pa.Tensor.from_numpy(x, dim_names=["dim1","dim2"]) >>> tensor.is_mutable True is_contiguous Is this tensor contiguous in memory. Examples -------- >>> import pyarrow as pa >>> import numpy as np >>> x = np.array([[2, 2, 4], [4, 5, 100]], np.int32) >>> tensor = pa.Tensor.from_numpy(x, dim_names=["dim1","dim2"]) >>> tensor.is_contiguous True ndim The dimension (n) of this tensor. Examples -------- >>> import pyarrow as pa >>> import numpy as np >>> x = np.array([[2, 2, 4], [4, 5, 100]], np.int32) >>> tensor = pa.Tensor.from_numpy(x, dim_names=["dim1","dim2"]) >>> tensor.ndim 2 The size of this tensor. Examples -------- >>> import pyarrow as pa >>> import numpy as np >>> x = np.array([[2, 2, 4], [4, 5, 100]], np.int32) >>> tensor = pa.Tensor.from_numpy(x, dim_names=["dim1","dim2"]) >>> tensor.size 6 The shape of this tensor. Examples -------- >>> import pyarrow as pa >>> import numpy as np >>> x = np.array([[2, 2, 4], [4, 5, 100]], np.int32) >>> tensor = pa.Tensor.from_numpy(x, dim_names=["dim1","dim2"]) >>> tensor.shape (2, 3) Strides of this tensor. Examples -------- >>> import pyarrow as pa >>> import numpy as np >>> x = np.array([[2, 2, 4], [4, 5, 100]], np.int32) >>> tensor = pa.Tensor.from_numpy(x, dim_names=["dim1","dim2"]) >>> tensor.strides (12, 4) pyarrow.lib.TensorTensor() A n-dimensional array a.k.a Tensor. Examples -------- >>> import pyarrow as pa >>> import numpy as np >>> x = np.array([[2, 2, 4], [4, 5, 100]], np.int32) >>> pa.Tensor.from_numpy(x, dim_names=["dim1","dim2"]) type: int32 shape: (2, 3) strides: (12, 4)non_zero_lengthpyarrow.lib.SparseCSRMatrixSparseCSRMatrix() A sparse CSR (Compressed Sparse Row) matrix. CSR format stores a sparse matrix by compressing the row information. It uses three arrays: data (non-zero values), indices (column indices), and indptr (row pointers that indicate where each row starts in the data array). Examples -------- >>> import pyarrow as pa >>> import numpy as np >>> dense_matrix = np.array([[1, 0, 2], [0, 0, 3]], dtype=np.float64) >>> sparse_csr = pa.SparseCSRMatrix.from_dense_numpy(dense_matrix) >>> sparse_csr type: double shape: (2, 3)pyarrow.lib.SparseCSCMatrixSparseCSCMatrix() A sparse CSC (Compressed Sparse Column) matrix. CSC format stores a sparse matrix by compressing the column information. It uses three arrays: data (non-zero values), indices (row indices), and indptr (column pointers that indicate where each column starts in the data array). CSC is the transpose of CSR format. Examples -------- >>> import pyarrow as pa >>> import numpy as np >>> dense_matrix = np.array([[1, 0, 2], [0, 0, 3]], dtype=np.float64) >>> sparse_csc = pa.SparseCSCMatrix.from_dense_numpy(dense_matrix) >>> sparse_csc type: double shape: (2, 3)has_canonical_formatpyarrow.lib.SparseCOOTensorSparseCOOTensor() A sparse COO (COOrdinate) tensor. COO format stores a sparse tensor as a collection of (indices, values) pairs. The indices specify the coordinates of non-zero elements, and the values contain the actual data at those coordinates. Examples -------- >>> import pyarrow as pa >>> import numpy as np >>> dense_tensor = np.array([[0, 1, 0], [2, 0, 3]], dtype=np.float32) >>> sparse_coo = pa.SparseCOOTensor.from_dense_numpy(dense_tensor) >>> sparse_coo type: float shape: (2, 3)pyarrow.lib.SparseCSFTensorSparseCSFTensor() A sparse CSF tensor. CSF is a generalization of compressed sparse row (CSR) index. CSF index recursively compresses each dimension of a tensor into a set of prefix trees. Each path from a root to leaf forms one tensor non-zero index. CSF is implemented with two arrays of buffers and one arrays of integers. Examples -------- >>> import pyarrow as pa >>> import numpy as np >>> # Create a 3D sparse tensor >>> dense_tensor = np.zeros((2, 3, 2), dtype=np.float32) >>> dense_tensor[0, 1, 0] = 1.0 >>> dense_tensor[1, 2, 1] = 2.0 >>> sparse_csf = pa.SparseCSFTensor.from_dense_numpy(dense_tensor) >>> sparse_csf type: float shape: (2, 3, 2)pyarrow.lib.NullArray Concrete class for Arrow arrays of null data type. false_counttrue_countpyarrow.lib.BooleanArray Concrete class for Arrow arrays of boolean data type. pyarrow.lib.NumericArray A base class for Arrow numeric arrays. pyarrow.lib.IntegerArray A base class for Arrow integer arrays. pyarrow.lib.FloatingPointArray A base class for Arrow floating-point arrays. pyarrow.lib.Int8Array Concrete class for Arrow arrays of int8 data type. pyarrow.lib.UInt8Array Concrete class for Arrow arrays of uint8 data type. pyarrow.lib.Int16Array Concrete class for Arrow arrays of int16 data type. pyarrow.lib.UInt16Array Concrete class for Arrow arrays of uint16 data type. pyarrow.lib.Int32Array Concrete class for Arrow arrays of int32 data type. pyarrow.lib.UInt32Array Concrete class for Arrow arrays of uint32 data type. pyarrow.lib.Int64Array Concrete class for Arrow arrays of int64 data type. pyarrow.lib.UInt64Array Concrete class for Arrow arrays of uint64 data type. pyarrow.lib.HalfFloatArray Concrete class for Arrow arrays of float16 data type. pyarrow.lib.FloatArray Concrete class for Arrow arrays of float32 data type. pyarrow.lib.DoubleArray Concrete class for Arrow arrays of float64 data type. pyarrow.lib.FixedSizeBinaryArray Concrete class for Arrow arrays of a fixed-size binary data type. pyarrow.lib.Decimal32Arraypyarrow.lib.Decimal64Array Concrete class for Arrow arrays of decimal64 data type. pyarrow.lib.Decimal128Array Concrete class for Arrow arrays of decimal128 data type. pyarrow.lib.Decimal256Array Concrete class for Arrow arrays of decimal256 data type. pyarrow.lib.StructArray Concrete class for Arrow arrays of a struct data type. pyarrow.lib.BaseListArray Return the underlying array of values which backs the ListArray ignoring the array's offset. If any of the list elements are null, but are backed by a non-empty sub-list, those elements will be included in the output. Compare with :meth:`flatten`, which returns only the non-null values taking into consideration the array's offset. Returns ------- values : Array See Also -------- ListArray.flatten : ... Examples -------- The values include null elements from sub-lists: >>> import pyarrow as pa >>> array = pa.array([[1, 2], None, [3, 4, None, 6]]) >>> array.values [ 1, 2, 3, 4, null, 6 ] If an array is sliced, the slice still uses the same underlying data as the original array, just with an offset. Since values ignores the offset, the values are the same: >>> sliced = array.slice(1, 2) >>> sliced [ null, [ 3, 4, null, 6 ] ] >>> sliced.values [ 1, 2, 3, 4, null, 6 ] offsets Return the list offsets as an int32 array. The returned array will not have a validity bitmap, so you cannot expect to pass it to `ListArray.from_arrays` and get back the same list array if the original one has nulls. Returns ------- offsets : Int32Array Examples -------- >>> import pyarrow as pa >>> array = pa.array([[1, 2], None, [3, 4, 5]]) >>> array.offsets [ 0, 2, 2, 5 ] pyarrow.lib.ListArray Concrete class for Arrow arrays of a list data type. Return the underlying array of values which backs the LargeListArray ignoring the array's offset. If any of the list elements are null, but are backed by a non-empty sub-list, those elements will be included in the output. Compare with :meth:`flatten`, which returns only the non-null values taking into consideration the array's offset. Returns ------- values : Array See Also -------- LargeListArray.flatten : ... Examples -------- The values include null elements from the sub-lists: >>> import pyarrow as pa >>> array = pa.array( ... [[1, 2], None, [3, 4, None, 6]], ... type=pa.large_list(pa.int32()), ... ) >>> array.values [ 1, 2, 3, 4, null, 6 ] If an array is sliced, the slice still uses the same underlying data as the original array, just with an offset. Since values ignores the offset, the values are the same: >>> sliced = array.slice(1, 2) >>> sliced [ null, [ 3, 4, null, 6 ] ] >>> sliced.values [ 1, 2, 3, 4, null, 6 ] Return the list offsets as an int64 array. The returned array will not have a validity bitmap, so you cannot expect to pass it to `LargeListArray.from_arrays` and get back the same list array if the original one has nulls. Returns ------- offsets : Int64Array pyarrow.lib.LargeListArray Concrete class for Arrow arrays of a large list data type. Identical to ListArray, but 64-bit offsets. Return the underlying array of values which backs the ListViewArray ignoring the array's offset and sizes. The values array may be out of order and/or contain additional values that are not found in the logical representation of the array. The only guarantee is that each non-null value in the ListView Array is contiguous. Compare with :meth:`flatten`, which returns only the non-null values taking into consideration the array's order and offset. Returns ------- values : Array Examples -------- The values include null elements from sub-lists: >>> import pyarrow as pa >>> values = [1, 2, None, 3, 4] >>> offsets = [0, 0, 1] >>> sizes = [2, 0, 4] >>> array = pa.ListViewArray.from_arrays(offsets, sizes, values) >>> array [ [ 1, 2 ], [], [ 2, null, 3, 4 ] ] >>> array.values [ 1, 2, null, 3, 4 ] Return the list offsets as an int32 array. The returned array will not have a validity bitmap, so you cannot expect to pass it to `ListViewArray.from_arrays` and get back the same list array if the original one has nulls. Returns ------- offsets : Int32Array Examples -------- >>> import pyarrow as pa >>> values = [1, 2, None, 3, 4] >>> offsets = [0, 0, 1] >>> sizes = [2, 0, 4] >>> array = pa.ListViewArray.from_arrays(offsets, sizes, values) >>> array.offsets [ 0, 0, 1 ] sizes Return the list sizes as an int32 array. The returned array will not have a validity bitmap, so you cannot expect to pass it to `ListViewArray.from_arrays` and get back the same list array if the original one has nulls. Returns ------- sizes : Int32Array Examples -------- >>> import pyarrow as pa >>> values = [1, 2, None, 3, 4] >>> offsets = [0, 0, 1] >>> sizes = [2, 0, 4] >>> array = pa.ListViewArray.from_arrays(offsets, sizes, values) >>> array.sizes [ 2, 0, 4 ] pyarrow.lib.ListViewArray Concrete class for Arrow arrays of a list view data type. Return the underlying array of values which backs the LargeListArray ignoring the array's offset. The values array may be out of order and/or contain additional values that are not found in the logical representation of the array. The only guarantee is that each non-null value in the ListView Array is contiguous. Compare with :meth:`flatten`, which returns only the non-null values taking into consideration the array's order and offset. Returns ------- values : Array See Also -------- LargeListArray.flatten : ... Examples -------- The values include null elements from sub-lists: >>> import pyarrow as pa >>> values = [1, 2, None, 3, 4] >>> offsets = [0, 0, 1] >>> sizes = [2, 0, 4] >>> array = pa.LargeListViewArray.from_arrays(offsets, sizes, values) >>> array [ [ 1, 2 ], [], [ 2, null, 3, 4 ] ] >>> array.values [ 1, 2, null, 3, 4 ] Return the list view offsets as an int64 array. The returned array will not have a validity bitmap, so you cannot expect to pass it to `LargeListViewArray.from_arrays` and get back the same list array if the original one has nulls. Returns ------- offsets : Int64Array Examples -------- >>> import pyarrow as pa >>> values = [1, 2, None, 3, 4] >>> offsets = [0, 0, 1] >>> sizes = [2, 0, 4] >>> array = pa.LargeListViewArray.from_arrays(offsets, sizes, values) >>> array.offsets [ 0, 0, 1 ] Return the list view sizes as an int64 array. The returned array will not have a validity bitmap, so you cannot expect to pass it to `LargeListViewArray.from_arrays` and get back the same list array if the original one has nulls. Returns ------- sizes : Int64Array Examples -------- >>> import pyarrow as pa >>> values = [1, 2, None, 3, 4] >>> offsets = [0, 0, 1] >>> sizes = [2, 0, 4] >>> array = pa.LargeListViewArray.from_arrays(offsets, sizes, values) >>> array.sizes [ 2, 0, 4 ] pyarrow.lib.LargeListViewArray Concrete class for Arrow arrays of a large list view data type. Identical to ListViewArray, but with 64-bit offsets. Flattened array of keys across all maps in arrayFlattened array of items across all maps in arraypyarrow.lib.MapArray Concrete class for Arrow arrays of a map data type. Return the underlying array of values which backs the FixedSizeListArray ignoring the array's offset. Note even null elements are included. Compare with :meth:`flatten`, which returns only the non-null sub-list values. Returns ------- values : Array See Also -------- FixedSizeListArray.flatten : ... Examples -------- >>> import pyarrow as pa >>> array = pa.array( ... [[1, 2], None, [3, None]], ... type=pa.list_(pa.int32(), 2) ... ) >>> array.values [ 1, 2, null, null, 3, null ] pyarrow.lib.FixedSizeListArray Concrete class for Arrow arrays of a fixed size list data type. Get the type codes array. Get the value offsets array (dense arrays only). Does not account for any slice offset. pyarrow.lib.UnionArray Concrete class for Arrow arrays of a Union data type. pyarrow.lib.StringArray Concrete class for Arrow arrays of string (or utf8) data type. total_values_length The number of bytes from beginning to end of the data buffer addressed by the offsets of this BinaryArray. pyarrow.lib.BinaryArray Concrete class for Arrow arrays of variable-sized binary data type. pyarrow.lib.StringViewArray Concrete class for Arrow arrays of string (or utf8) view data type. pyarrow.lib.BinaryViewArray Concrete class for Arrow arrays of variable-sized binary view data type. indicespyarrow.lib.DictionaryArray Concrete class for dictionary-encoded Arrow arrays. pyarrow.lib.ExtensionArray Concrete class for Arrow extension arrays. pyarrow.lib.MonthDayNanoIntervalArray Concrete class for Arrow arrays of interval[MonthDayNano] type. Return data type of a ChunkedArray. Examples -------- >>> import pyarrow as pa >>> n_legs = pa.chunked_array([[2, 2, 4], [4, 5, 100]]) >>> n_legs.type DataType(int64) Number of null entries Returns ------- int Examples -------- >>> import pyarrow as pa >>> n_legs = pa.chunked_array([[2, 2, 4], [4, None, 100]]) >>> n_legs.null_count 1 Total number of bytes consumed by the elements of the chunked array. In other words, the sum of bytes from all buffer ranges referenced. Unlike `get_total_buffer_size` this method will account for array offsets. If buffers are shared between arrays then the shared portion will only be counted multiple times. The dictionary of dictionary arrays will always be counted in their entirety even if the array only references a portion of the dictionary. Examples -------- >>> import pyarrow as pa >>> n_legs = pa.chunked_array([[2, 2, 4], [4, None, 100]]) >>> n_legs.nbytes 49 num_chunks Number of underlying chunks. Returns ------- int Examples -------- >>> import pyarrow as pa >>> n_legs = pa.chunked_array([[2, 2, None], [4, 5, 100]]) >>> n_legs.num_chunks 2 chunks Convert to a list of single-chunked arrays. Examples -------- >>> import pyarrow as pa >>> n_legs = pa.chunked_array([[2, 2, None], [4, 5, 100]]) >>> n_legs [ [ 2, 2, null ], [ 4, 5, 100 ] ] >>> n_legs.chunks [ [ 2, 2, null ], [ 4, 5, 100 ]] Whether all chunks in the ChunkedArray are CPU-accessible. pyarrow.lib.ChunkedArrayChunkedArray() An array-like composed from a (possibly empty) collection of pyarrow.Arrays Warnings -------- Do not call this class's constructor directly. Examples -------- To construct a ChunkedArray object use :func:`pyarrow.chunked_array`: >>> import pyarrow as pa >>> pa.chunked_array([], type=pa.int8()) [ ... ] >>> pa.chunked_array([[2, 2, 4], [4, 5, 100]]) [ [ 2, 2, 4 ], [ 4, 5, 100 ] ] >>> isinstance(pa.chunked_array([[2, 2, 4], [4, 5, 100]]), pa.ChunkedArray) Truecolumn_names Names of the Table or RecordBatch columns. Returns ------- list of str Examples -------- Table (works similarly for RecordBatch) >>> import pyarrow as pa >>> table = pa.table({'n_legs': [2, 4, 5, 100], ... 'animals': ["Flamingo", "Horse", "Brittle stars", "Centipede"]}) >>> table.column_names ['n_legs', 'animals'] columns List of all columns in numerical order. Returns ------- columns : list of Array (for RecordBatch) or list of ChunkedArray (for Table) Examples -------- Table (works similarly for RecordBatch) >>> import pyarrow as pa >>> import pandas as pd >>> df = pd.DataFrame({'n_legs': [None, 4, 5, None], ... 'animals': ["Flamingo", "Horse", None, "Centipede"]}) >>> table = pa.Table.from_pandas(df) >>> table.columns [ [ [ null, 4, 5, null ] ], [ [ "Flamingo", "Horse", null, "Centipede" ] ]] num_columnsnum_rows Dimensions of the table or record batch: (#rows, #columns). Returns ------- (int, int) Number of rows and number of columns. Examples -------- >>> import pyarrow as pa >>> table = pa.table({'n_legs': [None, 4, 5, None], ... 'animals': ["Flamingo", "Horse", None, "Centipede"]}) >>> table.shape (4, 2) pyarrow.lib._Tabular_Tabular() Internal: An interface for common operations on tabular objects. Schema of the table and its columns. Returns ------- Schema Examples -------- >>> import pyarrow as pa >>> table = pa.table({'n_legs': [2, 4, 5, 100], ... 'animals': ["Flamingo", "Horse", "Brittle stars", "Centipede"]}) >>> table.schema n_legs: int64 animals: string Number of columns in this table. Returns ------- int Examples -------- >>> import pyarrow as pa >>> import pandas as pd >>> df = pd.DataFrame({'n_legs': [None, 4, 5, None], ... 'animals': ["Flamingo", "Horse", None, "Centipede"]}) >>> table = pa.Table.from_pandas(df) >>> table.num_columns 2 Number of rows in this table. Due to the definition of a table, all columns have the same number of rows. Returns ------- int Examples -------- >>> import pyarrow as pa >>> import pandas as pd >>> df = pd.DataFrame({'n_legs': [None, 4, 5, None], ... 'animals': ["Flamingo", "Horse", None, "Centipede"]}) >>> table = pa.Table.from_pandas(df) >>> table.num_rows 4 Total number of bytes consumed by the elements of the table. In other words, the sum of bytes from all buffer ranges referenced. Unlike `get_total_buffer_size` this method will account for array offsets. If buffers are shared between arrays then the shared portion will only be counted multiple times. The dictionary of dictionary arrays will always be counted in their entirety even if the array only references a portion of the dictionary. Examples -------- >>> import pyarrow as pa >>> table = pa.table({'n_legs': [None, 4, 5, None], ... 'animals': ["Flamingo", "Horse", None, "Centipede"]}) >>> table.nbytes 72 Whether all ChunkedArrays are CPU-accessible. pyarrow.lib.Table A collection of top-level named, equal length Arrow arrays. Warnings -------- Do not call this class's constructor directly, use one of the ``from_*`` methods instead. Examples -------- >>> import pyarrow as pa >>> n_legs = pa.array([2, 4, 5, 100]) >>> animals = pa.array(["Flamingo", "Horse", "Brittle stars", "Centipede"]) >>> names = ["n_legs", "animals"] Construct a Table from arrays: >>> pa.Table.from_arrays([n_legs, animals], names=names) pyarrow.Table n_legs: int64 animals: string ---- n_legs: [[2,4,5,100]] animals: [["Flamingo","Horse","Brittle stars","Centipede"]] Construct a Table from a RecordBatch: >>> batch = pa.record_batch([n_legs, animals], names=names) >>> pa.Table.from_batches([batch]) pyarrow.Table n_legs: int64 animals: string ---- n_legs: [[2,4,5,100]] animals: [["Flamingo","Horse","Brittle stars","Centipede"]] Construct a Table from pandas DataFrame: >>> import pandas as pd >>> df = pd.DataFrame({'year': [2020, 2022, 2019, 2021], ... 'n_legs': [2, 4, 5, 100], ... 'animals': ["Flamingo", "Horse", "Brittle stars", "Centipede"]}) >>> pa.Table.from_pandas(df) pyarrow.Table year: int64 n_legs: int64 animals: large_string ---- year: [[2020,2022,2019,2021]] n_legs: [[2,4,5,100]] animals: [["Flamingo","Horse","Brittle stars","Centipede"]] Construct a Table from a dictionary of arrays: >>> pydict = {'n_legs': n_legs, 'animals': animals} >>> pa.Table.from_pydict(pydict) pyarrow.Table n_legs: int64 animals: string ---- n_legs: [[2,4,5,100]] animals: [["Flamingo","Horse","Brittle stars","Centipede"]] >>> pa.Table.from_pydict(pydict).schema n_legs: int64 animals: string Construct a Table from a dictionary of arrays with metadata: >>> my_metadata={"n_legs": "Number of legs per animal"} >>> pa.Table.from_pydict(pydict, metadata=my_metadata).schema n_legs: int64 animals: string -- schema metadata -- n_legs: 'Number of legs per animal' Construct a Table from a list of rows: >>> pylist = [{'n_legs': 2, 'animals': 'Flamingo'}, {'year': 2021, 'animals': 'Centipede'}] >>> pa.Table.from_pylist(pylist) pyarrow.Table n_legs: int64 animals: string ---- n_legs: [[2,null]] animals: [["Flamingo","Centipede"]] Construct a Table from a list of rows with pyarrow schema: >>> my_schema = pa.schema([ ... pa.field('year', pa.int64()), ... pa.field('n_legs', pa.int64()), ... pa.field('animals', pa.string())], ... metadata={"year": "Year of entry"}) >>> pa.Table.from_pylist(pylist, schema=my_schema).schema year: int64 n_legs: int64 animals: string -- schema metadata -- year: 'Year of entry' Construct a Table with :func:`pyarrow.table`: >>> pa.table([n_legs, animals], names=names) pyarrow.Table n_legs: int64 animals: string ---- n_legs: [[2,4,5,100]] animals: [["Flamingo","Horse","Brittle stars","Centipede"]] Number of columns Returns ------- int Examples -------- >>> import pyarrow as pa >>> n_legs = pa.array([2, 2, 4, 4, 5, 100]) >>> animals = pa.array(["Flamingo", "Parrot", "Dog", "Horse", "Brittle stars", "Centipede"]) >>> batch = pa.RecordBatch.from_arrays([n_legs, animals], ... names=["n_legs", "animals"]) >>> batch.num_columns 2 Number of rows Due to the definition of a RecordBatch, all columns have the same number of rows. Returns ------- int Examples -------- >>> import pyarrow as pa >>> n_legs = pa.array([2, 2, 4, 4, 5, 100]) >>> animals = pa.array(["Flamingo", "Parrot", "Dog", "Horse", "Brittle stars", "Centipede"]) >>> batch = pa.RecordBatch.from_arrays([n_legs, animals], ... names=["n_legs", "animals"]) >>> batch.num_rows 6 Schema of the RecordBatch and its columns Returns ------- pyarrow.Schema Examples -------- >>> import pyarrow as pa >>> n_legs = pa.array([2, 2, 4, 4, 5, 100]) >>> animals = pa.array(["Flamingo", "Parrot", "Dog", "Horse", "Brittle stars", "Centipede"]) >>> batch = pa.RecordBatch.from_arrays([n_legs, animals], ... names=["n_legs", "animals"]) >>> batch.schema n_legs: int64 animals: string Total number of bytes consumed by the elements of the record batch. In other words, the sum of bytes from all buffer ranges referenced. Unlike `get_total_buffer_size` this method will account for array offsets. If buffers are shared between arrays then the shared portion will only be counted multiple times. The dictionary of dictionary arrays will always be counted in their entirety even if the array only references a portion of the dictionary. Examples -------- >>> import pyarrow as pa >>> n_legs = pa.array([2, 2, 4, 4, 5, 100]) >>> animals = pa.array(["Flamingo", "Parrot", "Dog", "Horse", "Brittle stars", "Centipede"]) >>> batch = pa.RecordBatch.from_arrays([n_legs, animals], ... names=["n_legs", "animals"]) >>> batch.nbytes 116 The device type where the arrays in the RecordBatch reside. Returns ------- DeviceAllocationType Whether the RecordBatch's arrays are CPU-accessible. pyarrow.lib.RecordBatch Batch of rows of columns of equal length Warnings -------- Do not call this class's constructor directly, use one of the ``RecordBatch.from_*`` functions instead. Examples -------- >>> import pyarrow as pa >>> n_legs = pa.array([2, 2, 4, 4, 5, 100]) >>> animals = pa.array(["Flamingo", "Parrot", "Dog", "Horse", "Brittle stars", "Centipede"]) >>> names = ["n_legs", "animals"] Constructing a RecordBatch from arrays: >>> pa.RecordBatch.from_arrays([n_legs, animals], names=names) pyarrow.RecordBatch n_legs: int64 animals: string ---- n_legs: [2,2,4,4,5,100] animals: ["Flamingo","Parrot","Dog","Horse","Brittle stars","Centipede"] >>> pa.RecordBatch.from_arrays([n_legs, animals], names=names).to_pandas() n_legs animals 0 2 Flamingo 1 2 Parrot 2 4 Dog 3 4 Horse 4 5 Brittle stars 5 100 Centipede Constructing a RecordBatch from pandas DataFrame: >>> import pandas as pd >>> df = pd.DataFrame({'year': [2020, 2022, 2021, 2022], ... 'month': [3, 5, 7, 9], ... 'day': [1, 5, 9, 13], ... 'n_legs': [2, 4, 5, 100], ... 'animals': ["Flamingo", "Horse", "Brittle stars", "Centipede"]}) >>> pa.RecordBatch.from_pandas(df) pyarrow.RecordBatch year: int64 month: int64 day: int64 n_legs: int64 animals: large_string ---- year: [2020,2022,2021,2022] month: [3,5,7,9] day: [1,5,9,13] n_legs: [2,4,5,100] animals: ["Flamingo","Horse","Brittle stars","Centipede"] >>> pa.RecordBatch.from_pandas(df).to_pandas() year month day n_legs animals 0 2020 3 1 2 Flamingo 1 2022 5 5 4 Horse 2 2021 7 9 5 Brittle stars 3 2022 9 13 100 Centipede Constructing a RecordBatch from pylist: >>> pylist = [{'n_legs': 2, 'animals': 'Flamingo'}, ... {'n_legs': 4, 'animals': 'Dog'}] >>> pa.RecordBatch.from_pylist(pylist).to_pandas() n_legs animals 0 2 Flamingo 1 4 Dog You can also construct a RecordBatch using :func:`pyarrow.record_batch`: >>> pa.record_batch([n_legs, animals], names=names).to_pandas() n_legs animals 0 2 Flamingo 1 2 Parrot 2 4 Dog 3 4 Horse 4 5 Brittle stars 5 100 Centipede >>> pa.record_batch(df) pyarrow.RecordBatch year: int64 month: int64 day: int64 n_legs: int64 animals: large_string ---- year: [2020,2022,2021,2022] month: [3,5,7,9] day: [1,5,9,13] n_legs: [2,4,5,100] animals: ["Flamingo","Horse","Brittle stars","Centipede"] A shorthand for this device's type. device_id A device ID to identify this device if there are multiple of this type. If there is no "device_id" equivalent (such as for the main CPU device on non-numa systems) returns -1. Whether this device is the main CPU device. This shorthand method is very useful when deciding whether a memory address is CPU-accessible. Return the DeviceAllocationType of this device. pyarrow.lib.DeviceDevice() Abstract interface for hardware devices This object represents a device with access to some memory spaces. When handling a Buffer or raw memory address, it allows deciding in which context the raw memory address should be interpreted (e.g. CPU-accessible memory, or embedded memory on some particular GPU). The device this MemoryManager is tied to. Whether this MemoryManager is tied to the main CPU device. This shorthand method is very useful when deciding whether a memory address is CPU-accessible. pyarrow.lib.MemoryManagerMemoryManager() An object that provides memory management primitives. A MemoryManager is always tied to a particular Device instance. It can also have additional parameters (such as a MemoryPool to allocate CPU memory). The buffer size in bytes. address The buffer's address, as an integer. The returned address may point to CPU or device memory. Use `is_cpu()` to disambiguate. Whether the buffer is mutable. Whether the buffer is CPU-accessible. The device where the buffer resides. Returns ------- Device The memory manager associated with the buffer. Returns ------- MemoryManager The device type where the buffer resides. Returns ------- DeviceAllocationType pyarrow.lib.BufferBuffer() The base class for all Arrow buffers. A buffer represents a contiguous memory area. Many buffers will own their memory, though not all of them do.pyarrow.lib.ResizableBuffer A base class for buffers that can be resized. __next__mode The file mode. Currently instances of NativeFile may support: * rb: binary read * wb: binary write * rb+: binary read and write * ab: binary append closedpyarrow.lib.NativeFile The base class for all Arrow streams. Streams are either readable, writable, or both. They optionally support seeking. While this class exposes methods to read or write data from Python, the primary intent of using a Arrow stream is to pass it to other Arrow facilities that will make use of it, such as Arrow IPC routines. Be aware that there are subtle differences with regular Python files, e.g. destroying a writable Arrow stream without closing it explicitly will not flush any pending data. pyarrow.lib.BufferedInputStreamBufferedInputStream(NativeFile stream, int buffer_size, MemoryPool memory_pool=None) An input stream that performs buffered reads from an unbuffered input stream, which can mitigate the overhead of many small reads in some cases. Parameters ---------- stream : NativeFile The input stream to wrap with the buffer buffer_size : int Size of the temporary read buffer. memory_pool : MemoryPool The memory pool used to allocate the buffer.pyarrow.lib.BufferedOutputStreamBufferedOutputStream(NativeFile stream, int buffer_size, MemoryPool memory_pool=None) An output stream that performs buffered reads from an unbuffered output stream, which can mitigate the overhead of many small writes in some cases. Parameters ---------- stream : NativeFile The writable output stream to wrap with the buffer buffer_size : int Size of the buffer that should be added. memory_pool : MemoryPool The memory pool used to allocate the buffer.pyarrow.lib.CompressedInputStreamCompressedInputStream(stream, str compression) An input stream wrapper which decompresses data on the fly. Parameters ---------- stream : string, path, pyarrow.NativeFile, or file-like object Input stream object to wrap with the compression. compression : str The compression type ("bz2", "brotli", "gzip", "lz4" or "zstd"). Examples -------- Create an output stream which compresses the data: >>> import pyarrow as pa >>> data = b"Compressed stream" >>> raw = pa.BufferOutputStream() >>> with pa.CompressedOutputStream(raw, "gzip") as compressed: ... compressed.write(data) ... 17 Create an input stream with decompression referencing the buffer with compressed data: >>> cdata = raw.getvalue() >>> with pa.input_stream(cdata, compression="gzip") as compressed: ... compressed.read() ... b'Compressed stream' which actually translates to the use of ``BufferReader``and ``CompressedInputStream``: >>> raw = pa.BufferReader(cdata) >>> with pa.CompressedInputStream(raw, "gzip") as compressed: ... compressed.read() ... b'Compressed stream'pyarrow.lib.CompressedOutputStreamCompressedOutputStream(stream, str compression) An output stream wrapper which compresses data on the fly. Parameters ---------- stream : string, path, pyarrow.NativeFile, or file-like object Input stream object to wrap with the compression. compression : str The compression type ("bz2", "brotli", "gzip", "lz4" or "zstd"). Examples -------- Create an output stream which compresses the data: >>> import pyarrow as pa >>> data = b"Compressed stream" >>> raw = pa.BufferOutputStream() >>> with pa.CompressedOutputStream(raw, "gzip") as compressed: ... compressed.write(data) ... 17stats Current IPC write statistics. pyarrow.lib._CRecordBatchWriterThe base RecordBatchWriter wrapper. Provides common implementations of convenience methods. Should not be instantiated directly by user code. Shared schema of the record batches in the stream. Returns ------- Schema pyarrow.lib.RecordBatchReaderRecordBatchReader() Base class for reading stream of record batches. Record batch readers function as iterators of record batches that also provide the schema (without the need to get any batches). Warnings -------- Do not call this class's constructor directly, use one of the ``RecordBatchReader.from_*`` functions instead. Notes ----- To import and export using the Arrow C stream interface, use the ``_import_from_c`` and ``_export_to_c`` methods. However, keep in mind this interface is intended for expert users. Examples -------- >>> import pyarrow as pa >>> schema = pa.schema([('x', pa.int64())]) >>> def iter_record_batches(): ... for i in range(2): ... yield pa.RecordBatch.from_arrays([pa.array([1, 2, 3])], schema=schema) >>> reader = pa.RecordBatchReader.from_batches(schema, iter_record_batches()) >>> print(reader.schema) x: int64 >>> for batch in reader: ... print(batch) pyarrow.RecordBatch x: int64 ---- x: [1,2,3] pyarrow.RecordBatch x: int64 ---- x: [1,2,3]hole_size_limitrange_size_limitlazyprefetch_limitpyarrow.lib.CacheOptionsCacheOptions(hole_size_limit=None, *, range_size_limit=None, lazy=None, prefetch_limit=None) Cache options for a pre-buffered fragment scan. Parameters ---------- hole_size_limit : int, default 8KiB The maximum distance in bytes between two consecutive ranges; beyond this value, ranges are not combined. range_size_limit : int, default 32MiB The maximum size in bytes of a combined range; if combining two consecutive ranges would produce a range of a size greater than this, they are not combined lazy : bool, default True lazy = false: request all byte ranges when PreBuffer or WillNeed is called. lazy = True, prefetch_limit = 0: request merged byte ranges only after the reader needs them. lazy = True, prefetch_limit = k: prefetch up to k merged byte ranges ahead of the range that is currently being read. prefetch_limit : int, default 0 The maximum number of ranges to be prefetched. This is only used for lazy cache to asynchronously read some ranges after reading the target range.Returns the name of the codeccompression_levelReturns the compression level parameter of the codecpyarrow.lib.CodecCodec(str compression, compression_level=None) Compression codec. Parameters ---------- compression : str Type of compression codec to initialize, valid values are: 'gzip', 'bz2', 'brotli', 'lz4' (or 'lz4_frame'), 'lz4_raw', 'zstd' and 'snappy'. compression_level : int, None Optional parameter specifying how aggressively to compress. The possible ranges and effect of this parameter depend on the specific codec chosen. Higher values compress more but typically use more resources (CPU/RAM). Some codecs support negative values. gzip The compression_level maps to the memlevel parameter of deflateInit2. Higher levels use more RAM but are faster and should have higher compression ratios. bz2 The compression level maps to the blockSize100k parameter of the BZ2_bzCompressInit function. Higher levels use more RAM but are faster and should have higher compression ratios. brotli The compression level maps to the BROTLI_PARAM_QUALITY parameter. Higher values are slower and should have higher compression ratios. lz4/lz4_frame/lz4_raw The compression level parameter is not supported and must be None zstd The compression level maps to the compressionLevel parameter of ZSTD_initCStream. Negative values are supported. Higher values are slower and should have higher compression ratios. snappy The compression level parameter is not supported and must be None Raises ------ ValueError If invalid compression value is passed. Examples -------- >>> import pyarrow as pa >>> pa.Codec.is_available('gzip') True >>> codec = pa.Codec('gzip') >>> codec.name 'gzip' >>> codec.compression_level 9pyarrow.lib.StopTokenpyarrow.lib.SignalStopHandlerhave_pandascompatpdloose_versionversioncategorical_typedatetimetz_typeextension_dtypepyarrow.lib._PandasAPIShim_PandasAPIShim() Lazy pandas importer that isolates usages of pandas APIs and avoids importing pandas until it's actually neededpyarrow.lib.LoggingMemoryPoolLoggingMemoryPool()pyarrow.lib.ProxyMemoryPoolProxyMemoryPool() Memory pool implementation that tracks the number of bytes and maximum memory allocated through its direct calls, while redirecting to another memory pool. The mode of the union ("dense" or "sparse"). Examples -------- >>> import pyarrow as pa >>> union = pa.sparse_union([pa.field('a', pa.binary(10)), pa.field('b', pa.string())]) >>> union.mode 'sparse' The type code to indicate each data type in this union. Examples -------- >>> import pyarrow as pa >>> union = pa.sparse_union([pa.field('a', pa.binary(10)), pa.field('b', pa.string())]) >>> union.type_codes [0, 1] pyarrow.lib.UnionType Base class for union data types. Examples -------- Create an instance of a dense UnionType using ``pa.union``: >>> import pyarrow as pa >>> pa.union([pa.field('a', pa.binary(10)), pa.field('b', pa.string())], ... mode=pa.lib.UnionMode_DENSE), (DenseUnionType(dense_union),) Create an instance of a dense UnionType using ``pa.dense_union``: >>> pa.dense_union([pa.field('a', pa.binary(10)), pa.field('b', pa.string())]) DenseUnionType(dense_union) Create an instance of a sparse UnionType using ``pa.union``: >>> pa.union([pa.field('a', pa.binary(10)), pa.field('b', pa.string())], ... mode=pa.lib.UnionMode_SPARSE), (SparseUnionType(sparse_union),) Create an instance of a sparse UnionType using ``pa.sparse_union``: >>> pa.sparse_union([pa.field('a', pa.binary(10)), pa.field('b', pa.string())]) SparseUnionType(sparse_union) pyarrow.lib.SparseUnionType Concrete class for sparse union types. Examples -------- Create an instance of a sparse UnionType using ``pa.union``: >>> import pyarrow as pa >>> pa.union([pa.field('a', pa.binary(10)), pa.field('b', pa.string())], ... mode=pa.lib.UnionMode_SPARSE), (SparseUnionType(sparse_union),) Create an instance of a sparse UnionType using ``pa.sparse_union``: >>> pa.sparse_union([pa.field('a', pa.binary(10)), pa.field('b', pa.string())]) SparseUnionType(sparse_union) pyarrow.lib.DenseUnionType Concrete class for dense union types. Examples -------- Create an instance of a dense UnionType using ``pa.union``: >>> import pyarrow as pa >>> pa.union([pa.field('a', pa.binary(10)), pa.field('b', pa.string())], ... mode=pa.lib.UnionMode_DENSE), (DenseUnionType(dense_union),) Create an instance of a dense UnionType using ``pa.dense_union``: >>> pa.dense_union([pa.field('a', pa.binary(10)), pa.field('b', pa.string())]) DenseUnionType(dense_union) pyarrow.lib.UnknownExtensionTypeUnknownExtensionType(DataType storage_type, serialized) A concrete class for Python-defined extension types that refer to an unknown Python implementation. Parameters ---------- storage_type : DataType The storage type for which the extension is built. serialized : bytes The serialised output.pyarrow.lib._ExtensionRegistryNannypyarrow.lib.NullScalarNullScalar() Concrete class for null scalars.pyarrow.lib.BooleanScalar Concrete class for boolean scalars. pyarrow.lib.UInt8Scalar Concrete class for uint8 scalars. pyarrow.lib.Int8Scalar Concrete class for int8 scalars. pyarrow.lib.UInt16Scalar Concrete class for uint16 scalars. pyarrow.lib.Int16Scalar Concrete class for int16 scalars. pyarrow.lib.UInt32Scalar Concrete class for uint32 scalars. pyarrow.lib.Int32Scalar Concrete class for int32 scalars. pyarrow.lib.UInt64Scalar Concrete class for uint64 scalars. pyarrow.lib.Int64Scalar Concrete class for int64 scalars. pyarrow.lib.HalfFloatScalar Concrete class for float scalars. pyarrow.lib.FloatScalarpyarrow.lib.DoubleScalar Concrete class for double scalars. pyarrow.lib.Decimal32Scalar Concrete class for decimal32 scalars. pyarrow.lib.Decimal64Scalar Concrete class for decimal64 scalars. pyarrow.lib.Decimal128Scalar Concrete class for decimal128 scalars. pyarrow.lib.Decimal256Scalar Concrete class for decimal256 scalars. pyarrow.lib.Date32Scalar Concrete class for date32 scalars. pyarrow.lib.Date64Scalar Concrete class for date64 scalars. pyarrow.lib.Time32Scalar Concrete class for time32 scalars. pyarrow.lib.Time64Scalar Concrete class for time64 scalars. pyarrow.lib.TimestampScalar Concrete class for timestamp scalars. pyarrow.lib.DurationScalar Concrete class for duration scalars. Same as self.as_py() pyarrow.lib.MonthDayNanoIntervalScalar Concrete class for month, day, nanosecond interval scalars. pyarrow.lib.BinaryScalar Concrete class for binary-like scalars. pyarrow.lib.LargeBinaryScalarpyarrow.lib.FixedSizeBinaryScalarpyarrow.lib.StringScalar Concrete class for string-like (utf8) scalars. pyarrow.lib.LargeStringScalarpyarrow.lib.BinaryViewScalarpyarrow.lib.StringViewScalarpyarrow.lib.ListScalar Concrete class for list-like scalars. pyarrow.lib.FixedSizeListScalarpyarrow.lib.LargeListScalarpyarrow.lib.ListViewScalarpyarrow.lib.LargeListViewScalarpyarrow.lib.StructScalar Concrete class for struct scalars. pyarrow.lib.MapScalar Concrete class for map scalars. Return this value's underlying index as a scalar. Return the encoded value as a scalar. pyarrow.lib.DictionaryScalar Concrete class for dictionary-encoded scalars. Return underlying value as a scalar. pyarrow.lib.RunEndEncodedScalar Concrete class for RunEndEncoded scalars. type_code Return the union type code for this scalar. pyarrow.lib.UnionScalar Concrete class for Union scalars. Return storage value as a scalar. pyarrow.lib.ExtensionScalar Concrete class for Extension scalars. pyarrow.lib.FixedShapeTensorScalar Concrete class for fixed shape tensor extension scalar. pyarrow.lib.OpaqueScalar Concrete class for opaque extension scalar. pyarrow.lib.Bool8Scalar Concrete class for bool8 extension scalar. pyarrow.lib.Date32Array Concrete class for Arrow arrays of date32 data type. pyarrow.lib.Date64Array Concrete class for Arrow arrays of date64 data type. pyarrow.lib.TimestampArray Concrete class for Arrow arrays of timestamp data type. pyarrow.lib.Time32Array Concrete class for Arrow arrays of time32 data type. pyarrow.lib.Time64Array Concrete class for Arrow arrays of time64 data type. pyarrow.lib.DurationArray Concrete class for Arrow arrays of duration data type. pyarrow.lib.Decima32Array Concrete class for Arrow arrays of decimal32 data type. pyarrow.lib.LargeStringArray Concrete class for Arrow arrays of large string (or utf8) data type. The number of bytes from beginning to end of the data buffer addressed by the offsets of this LargeBinaryArray. pyarrow.lib.LargeBinaryArray Concrete class for Arrow arrays of large variable-sized binary data type. run_ends An array holding the logical indexes of each run-end. The physical offset to the array is applied. An array holding the values of each run. The physical offset to the array is applied. pyarrow.lib.RunEndEncodedArray Concrete class for Arrow run-end encoded arrays. pyarrow.lib.FixedShapeTensorArray Concrete class for fixed shape tensor extension arrays. Examples -------- Define the extension type for tensor array >>> import pyarrow as pa >>> tensor_type = pa.fixed_shape_tensor(pa.int32(), [2, 2]) Create an extension array >>> arr = [[1, 2, 3, 4], [10, 20, 30, 40], [100, 200, 300, 400]] >>> storage = pa.array(arr, pa.list_(pa.int32(), 4)) >>> pa.ExtensionArray.from_storage(tensor_type, storage) [ [ 1, 2, 3, 4 ], [ 10, 20, 30, 40 ], [ 100, 200, 300, 400 ] ] pyarrow.lib.OpaqueArray Concrete class for opaque extension arrays. Examples -------- Define the extension type for an opaque array >>> import pyarrow as pa >>> opaque_type = pa.opaque( ... pa.binary(), ... type_name="geometry", ... vendor_name="postgis", ... ) Create an extension array >>> arr = [None, b"data"] >>> storage = pa.array(arr, pa.binary()) >>> pa.ExtensionArray.from_storage(opaque_type, storage) [ null, 64617461 ] pyarrow.lib.Bool8Array Concrete class for bool8 extension arrays. Examples -------- Define the extension type for an bool8 array >>> import pyarrow as pa >>> bool8_type = pa.bool8() Create an extension array >>> arr = [-1, 0, 1, 2, None] >>> storage = pa.array(arr, pa.int8()) >>> pa.ExtensionArray.from_storage(bool8_type, storage) [ -1, 0, 1, 2, null ] pyarrow.lib.StringBuilder Builder class for UTF8 strings. This class exposes facilities for incrementally adding string values and building the null bitmap for a pyarrow.Array (type='string'). pyarrow.lib.StringViewBuilder Builder class for UTF8 string views. This class exposes facilities for incrementally adding string values and building the null bitmap for a pyarrow.Array (type='string_view'). pyarrow.lib.PythonFile A stream backed by a Python file object. This class allows using Python file objects with arbitrary Arrow functions, including functions written in another language than Python. As a downside, there is a non-zero redirection cost in translating Arrow stream calls to Python method calls. Furthermore, Python's Global Interpreter Lock may limit parallelism in some situations. Examples -------- >>> import io >>> import pyarrow as pa >>> pa.PythonFile(io.BytesIO()) Create a stream for writing: >>> buf = io.BytesIO() >>> f = pa.PythonFile(buf, mode = 'w') >>> f.writable() True >>> f.write(b'PythonFile') 10 >>> buf.getvalue() b'PythonFile' >>> f.close() >>> f Create a stream for reading: >>> buf = io.BytesIO(b'PythonFile') >>> f = pa.PythonFile(buf, mode = 'r') >>> f.mode 'rb' >>> f.read() b'PythonFile' >>> f >>> f.close() >>> f pyarrow.lib.MemoryMappedFile A stream that represents a memory-mapped file. Supports 'r', 'r+', 'w' modes. Examples -------- Create a new file with memory map: >>> import pyarrow as pa >>> mmap = pa.create_memory_map('example_mmap.dat', 10) >>> mmap >>> mmap.close() Open an existing file with memory map: >>> with pa.memory_map('example_mmap.dat') as mmap: ... mmap ... pyarrow.lib.OSFile A stream backed by a regular file descriptor. Examples -------- Create a new file to write to: >>> import pyarrow as pa >>> with pa.OSFile('example_osfile.arrow', mode='w') as f: ... f.writable() ... f.write(b'OSFile') ... f.seekable() ... True 6 False Open the file to read: >>> with pa.OSFile('example_osfile.arrow', mode='r') as f: ... f.mode ... f.read() ... 'rb' b'OSFile' Open the file to append: >>> with pa.OSFile('example_osfile.arrow', mode='ab') as f: ... f.mode ... f.write(b' is super!') ... 'ab' 10 >>> with pa.OSFile('example_osfile.arrow') as f: ... f.read() ... b'OSFile is super!' Inspect created OSFile: >>> pa.OSFile('example_osfile.arrow') pyarrow.lib.FixedSizeBufferWriter A stream writing to a Arrow buffer. Examples -------- Create a stream to write to ``pyarrow.Buffer``: >>> import pyarrow as pa >>> buf = pa.allocate_buffer(5) >>> with pa.output_stream(buf) as stream: ... stream.write(b'abcde') ... stream ... 5 Inspect the buffer: >>> buf.to_pybytes() b'abcde' >>> buf pyarrow.lib.BufferOutputStream An output stream that writes to a resizable buffer. The buffer is produced as a result when ``getvalue()`` is called. Examples -------- Create an output stream, write data to it and finalize it with ``getvalue()``: >>> import pyarrow as pa >>> f = pa.BufferOutputStream() >>> f.write(b'pyarrow.Buffer') 14 >>> f.closed False >>> f.getvalue() >>> f.closed True pyarrow.lib.MockOutputStreampyarrow.lib.BufferReaderBufferReader(obj) Zero-copy reader from objects convertible to Arrow buffer. Parameters ---------- obj : Python bytes or pyarrow.Buffer Examples -------- Create an Arrow input stream and inspect it: >>> import pyarrow as pa >>> data = b'reader data' >>> buf = memoryview(data) >>> with pa.input_stream(buf) as stream: ... stream.size() ... stream.read(6) ... stream.seek(7) ... stream.read(15) ... 11 b'reader' 7 b'data'pyarrow.lib.TransformInputStreamTransformInputStream(NativeFile stream, transform_func) Transform an input stream. Parameters ---------- stream : NativeFile The stream to transform. transform_func : callable The transformation to apply.pyarrow.lib.MessageReaderMessageReader() Interface for reading Message objects from some source (like an InputStream)_use_legacy_format_metadata_versionpyarrow.lib._RecordBatchStreamWriter Current IPC read statistics. pyarrow.lib._RecordBatchStreamReaderpyarrow.lib._RecordBatchFileWriternum_record_batches The number of record batches in the IPC file. File-level custom metadata as dict, where both keys and values are byte-like. 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Expected %zd from C header, got %zd from PyObject__mro_entries__ must return a tuplemetaclass conflict: the metaclass of a derived class must be a (non-strict) subclass of the metaclasses of all its basespicklePickleErrorIncompatible checksums (0x%x vs (0x%x, 0x%x, 0x%x) = (%s))can't convert negative value to uint64_tcan't convert negative value to size_tvalue too large to convert to int8_tgenerator already executinggenerator ignored GeneratorExitthrowcannot pickle '%.200s' objectsendsend(arg) -> send 'arg' into generator, return next yielded value or raise StopIteration.throw(typ[,val[,tb]]) -> raise exception in generator, return next yielded value or raise StopIteration.close() -> raise GeneratorExit inside generator.gi_yieldfromobject being iterated by 'yield from', or Nonegi_codename of the generatorqualified name of the generatorgi_frameFrame of the generatorgi_running_cython_3_2_4.generatorwas newer thandoes not matchcompile time Python version %d.%d of module '%.100s' %s runtime version %d.%dzlibFailed to import '%.20s.decompress' - cannot initialise module strings. String compression was configured with the C macro 'CYTHON_COMPRESS_STRINGS=%d'.byte string is too long__int__ returned non-int (type %.200s). 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