我们从Python开源项目中，提取了以下7个代码示例，用于说明如何使用pyqtgraph.setConfigOptions()。
def test_getArrayRegion(transpose=False): pr = pg.PolyLineROI([[0, 0], [27, 0], [0, 28]], closed=True) pr.setPos(1, 1) rois = [ (pg.ROI([1, 1], [27, 28], pen='y'), 'baseroi'), (pg.RectROI([1, 1], [27, 28], pen='y'), 'rectroi'), (pg.EllipseROI([1, 1], [27, 28], pen='y'), 'ellipseroi'), (pr, 'polylineroi'), ] for roi, name in rois: # For some ROIs, resize should not be used. testResize = not isinstance(roi, pg.PolyLineROI) origMode = pg.getConfigOption('imageAxisOrder') try: if transpose: pg.setConfigOptions(imageAxisOrder='row-major') check_getArrayRegion(roi, 'roi/'+name, testResize, transpose=True) else: pg.setConfigOptions(imageAxisOrder='col-major') check_getArrayRegion(roi, 'roi/'+name, testResize) finally: pg.setConfigOptions(imageAxisOrder=origMode)
def __init__(self, parent=None): #pyqtgraph.setConfigOptions(imageAxisOrder='row-major') super(self.__class__, self).__init__() self.setupUi(self) self.slider_spatialr.valueChanged.connect(self.runSegment) self.slider_ranger.valueChanged.connect(self.runSegment) self.slider_classes.valueChanged.connect(self.runClassification) self.imageItem = pyqtgraph.ImageItem() self.view = pyqtgraph.ViewBox() self.view.addItem(self.imageItem) #segResult is of class pyqtgraph.GraphicsView self.segResult.setCentralItem(self.view) #get file pathes with buttons self.RGBimgpathButton.clicked.connect(self.getFileRGB) self.smoothedpathButton.clicked.connect(self.getFilesmoothed) self.saveClassificationButton.clicked.connect(self.saveFileClassified) #temporary data of segmented image self.segmentedout = "data/app_segmented.tif" self.RGBimgpath = "data/test_image_cubic_resample.tif" self.smoothedpath = "data/smoothed.tif"
def test_ImageItem_axisorder(): # All image tests pass again using the opposite axis order origMode = pg.getConfigOption('imageAxisOrder') altMode = 'row-major' if origMode == 'col-major' else 'col-major' pg.setConfigOptions(imageAxisOrder=altMode) try: test_ImageItem(transpose=True) finally: pg.setConfigOptions(imageAxisOrder=origMode)
def exit(exitcode=0): """ Causes python to exit without garbage-collecting any objects, and thus avoids calling object destructor methods. This is a sledgehammer workaround for a variety of bugs in PyQt and Pyside that cause crashes on exit. This function does the following in an attempt to 'safely' terminate the process: * Invoke atexit callbacks * Close all open file handles * os._exit() Note: there is some potential for causing damage with this function if you are using objects that _require_ their destructors to be called (for example, to properly terminate log files, disconnect from devices, etc). Situations like this are probably quite rare, but use at your own risk. @param int exitcode: system exit code """ if has_pyqtgraph: # first disable our pyqtgraph's cleanup function; won't be needing it. pyqtgraph.setConfigOptions(exitCleanup=False) # invoke atexit callbacks atexit._run_exitfuncs() # close file handles if sys.platform == 'darwin': for fd in range(3, 4096): # trying to close 7 produces an illegal instruction on the Mac. if fd not in [7]: os.close(fd) else: # just guessing on the maximum descriptor count.. os.closerange(3, 4096) os._exit(exitcode)
def __init__(self, parent=None): super(Second, self).__init__(parent) self.T=[] self.P=[] self.sp=[] self.dt=[] self.eff=[] url=setter.url try: url=setter.url l= requests.get(url).json() for i in range(0,len(l['result'])): self.T.append([]) self.P.append([]) self.sp.append([]) self.eff.append([]) except requests.exceptions.RequestException as e: i=0 self.resize(1000,800) self.setWindowTitle('Performance monitor') pg.setConfigOptions(antialias=True) self.p1 = self.addPlot(title="GPUs speed", axisItems={'bottom': TimeAxisItem(orientation='bottom')}) self.curve = [] #self.p1.addLegend() vb = self.addViewBox()# vb.setMaximumWidth(100) legend = pg.LegendItem() legend.setParentItem(vb) legend.anchor((0,0), (0,0))# self.nextRow() self.p2= self.addPlot(title="Temperature", axisItems={'bottom': TimeAxisItem(orientation='bottom')}) #self.p2.addLegend() self.curve1=[] self.nextRow() self.p3= self.addPlot(title="Power", axisItems={'bottom': TimeAxisItem(orientation='bottom')}) #self.p3.addLegend() self.curve2=[] self.nextRow() self.p4= self.addPlot(title="Effiency", axisItems={'bottom': TimeAxisItem(orientation='bottom')}) #self.p4.addLegend() self.curve3=[] colors=[[255,0,0],[0,255,0],[0,0,255],[0,255,255],[255,0,255],[255,255,0],[125,125,0],[125,0,125],[0,125,125],[255,150,50],[255,50,150]] for i in range(0,len(self.T)): self.curve.append(self.p1.plot(pen='y',symbolBrush=(colors[i][0],colors[i][1],colors[i][2]), symbolPen='w',name='n GPU '+str(i))) self.curve1.append(self.p2.plot(pen='y',symbolBrush=(colors[i][0],colors[i][1],colors[i][2]), symbolPen='w',name='GPU '+str(i))) self.curve2.append(self.p3.plot(pen='y',symbolBrush=(colors[i][0],colors[i][1],colors[i][2]), symbolPen='w',name='GPU '+str(i))) self.curve3.append(self.p4.plot(pen='y',symbolBrush=(colors[i][0],colors[i][1],colors[i][2]), symbolPen='w',name='GPU '+str(i))) legend.addItem(self.curve[i],name=self.curve[i].name()) self.update()
