;i dZddlZddlZddlZddlmZddlZddl m Z m Z ej Z e dedede ZejZejZejjZejd ejd ed ejeje jZe j d Z!e!"d e j d Z#ej$Z%ej&Z'e'(e!e'(e#e'(ee'(eddde'(e%ddde')dde'*ej+Z,e,-d e.e,dZ/e j0Z1e1j2e/e13deZ4e4j5de6dkrej7dSdS)aV This example demonstrates the use of RemoteGraphicsView to improve performance in applications with heavy load. It works by starting a second process to handle all graphics rendering, thus freeing up the main process to do its work. In this example, the update() function is very expensive and is called frequently. After update() generates a new set of data, it can either plot directly to a local plot (bottom) or remotely via a RemoteGraphicsView (top), allowing speed comparison between the two cases. IF you have a multi-core CPU, it should be obvious that the remote case is much faster. N) FrameCounter)QtCore QtWidgetsz --iterationsinfz*Number of iterations to run before exiting)defaulttypehelpT) antialiasz"pyqtgraph example: RemoteSpeedTestz plot remotez plot local)rowcolcolspani ) deferGetattrc tttjkr4tt dStj d d}|dtj tj dd|jdzz }trt"|dd t&rt(|d t*dS) N)i'2)sizer )axisr Toff)clear _callSync)r)nextiterations_counterargs iterationstimerstopappquitnprandomnormalsumsinlinspaceshapercheck isCheckedrpltplotlchecklpltframecntupdate)datas VC:\PYTHON\MyICR_Workspace\venv\Lib\site-packages\pyqtgraph/examples/RemoteSpeedTest.pyr1r19s $/11   t 9    , , 0 0a 0 8 8DAr{1b$*Q-8899 99D 5 $de 444 $ $d ### OOc>td|dS)Nz Generating z.1f)labelsetText)fpss r3r9Rs5==9Ps9P9P9P+Q+Qr4__main__)8__doc__argparse itertoolsnumpyr#utilsr pyqtgraphpg pyqtgraph.QtrrArgumentParserparser add_argumentfloat parse_argsrcountrmkQAppr!widgetsRemoteGraphicsViewviewsetConfigOptionssetWindowTitle aboutToQuitconnectcloseQLabelr6 QCheckBoxr* setCheckedr. PlotWidgetr/ LayoutWidgetlayout addWidgetresizeshowPlotItemr,_setProxyOptionssetCentralItemr1QTimerrtimeoutstartr0 sigFpsUpdate__name__execr4r3res  ********  " "NEE%LLu 5$Y_&&bikk z$7799d####4(((8999 ###   ] + +$  \ * *r}   1!Q///1!Q/// c#  w4(((D(   f A <>>QQRRR z BGIIIIIr4