// Licensed to the Apache Software Foundation (ASF) under one // or more contributor license agreements. See the NOTICE file // distributed with this work for additional information // regarding copyright ownership. The ASF licenses this file // to you under the Apache License, Version 2.0 (the // "License"); you may not use this file except in compliance // with the License. You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, // software distributed under the License is distributed on an // "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY // KIND, either express or implied. See the License for the // specific language governing permissions and limitations // under the License. // Converting from pandas memory representation to Arrow data structures #pragma once #include "arrow/python/platform.h" #include #include "arrow/compute/api.h" #include "arrow/python/visibility.h" namespace arrow { class Array; class ChunkedArray; class DataType; class MemoryPool; class Status; namespace py { /// Convert NumPy arrays to Arrow. If target data type is not known, pass a /// type with null /// /// \param[in] pool Memory pool for any memory allocations /// \param[in] ao an ndarray with the array data /// \param[in] mo an ndarray with a null mask (True is null), optional /// \param[in] from_pandas If true, use pandas's null sentinels to determine /// whether values are null /// \param[in] type a specific type to cast to, may be null /// \param[in] cast_options casting options /// \param[out] out a ChunkedArray, to accommodate chunked output ARROW_PYTHON_EXPORT Status NdarrayToArrow(MemoryPool* pool, PyObject* ao, PyObject* mo, bool from_pandas, const std::shared_ptr& type, const compute::CastOptions& cast_options, std::shared_ptr* out); /// Safely convert NumPy arrays to Arrow. If target data type is not known, /// pass a type with null. /// /// \param[in] pool Memory pool for any memory allocations /// \param[in] ao an ndarray with the array data /// \param[in] mo an ndarray with a null mask (True is null), optional /// \param[in] from_pandas If true, use pandas's null sentinels to determine /// whether values are null /// \param[in] type a specific type to cast to, may be null /// \param[out] out a ChunkedArray, to accommodate chunked output ARROW_PYTHON_EXPORT Status NdarrayToArrow(MemoryPool* pool, PyObject* ao, PyObject* mo, bool from_pandas, const std::shared_ptr& type, std::shared_ptr* out); } // namespace py } // namespace arrow