本文整理汇总了Python中pyqtgraph.PlotWidget.show方法的典型用法代码示例。如果您正苦于以下问题：Python PlotWidget.show方法的具体用法？Python PlotWidget.show怎么用？Python PlotWidget.show使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类pyqtgraph.PlotWidget的用法示例。
在下文中一共展示了PlotWidget.show方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: CamViewer
# 需要导入模块: from pyqtgraph import PlotWidget [as 别名]
# 或者: from pyqtgraph.PlotWidget import show [as 别名]
#.........这里部分代码省略.........
@Slot()
def zoomIn(self):
self.ui.imageView.getView().scaleBy((0.5, 0.5))
@Slot()
def zoomOut(self):
self.ui.imageView.getView().scaleBy((2.0, 2.0))
@Slot()
def zoomToActualSize(self):
if len(self.image_data) == 0:
return
self.ui.imageView.getView().setRange(xRange=(0, self.image_data.shape[0]), yRange=(0, self.image_data.shape[1]), padding=0.0)
def disable_all_markers(self):
for d in self.marker_dict:
self.marker_dict[d]['button'].setChecked(False)
self.marker_dict[d]['marker'].setPos((0, 0))
@Slot(bool)
def enableMarker(self, checked):
any_markers_visible = False
for d in self.marker_dict:
marker = self.marker_dict[d]['marker']
button = self.marker_dict[d]['button']
any_markers_visible = any_markers_visible or button.isChecked()
marker.setVisible(button.isChecked())
self.markerMoved(d)
self.marker_dict[d]['xcurve'].setVisible(button.isChecked())
self.marker_dict[d]['ycurve'].setVisible(button.isChecked())
self.marker_dict[d]['xlineedit'].setEnabled(button.isChecked())
self.marker_dict[d]['ylineedit'].setEnabled(button.isChecked())
if any_markers_visible:
self.xLineoutPlot.show()
self.yLineoutPlot.show()
else:
self.xLineoutPlot.hide()
self.yLineoutPlot.hide()
@Slot()
def markerPositionLineEditChanged(self):
for d in self.marker_dict:
marker = self.marker_dict[d]['marker']
x_line_edit = self.marker_dict[d]['xlineedit']
y_line_edit = self.marker_dict[d]['ylineedit']
try:
new_x = int(x_line_edit.text())
new_y = int(y_line_edit.text())
if new_x <= marker.maxBounds.width() and new_y <= marker.maxBounds.height():
marker.setPos((new_x, new_y))
except:
pass
coords = marker.getPixelCoords()
x_line_edit.setText(str(coords[0]))
y_line_edit.setText(str(coords[1]))
@Slot(object)
def markerMoved(self, marker):
self.updateLineouts()
for marker_index in self.marker_dict:
marker = self.marker_dict[marker_index]['marker']
x_line_edit = self.marker_dict[marker_index]['xlineedit']
y_line_edit = self.marker_dict[marker_index]['ylineedit']
coords = marker.getPixelCoords()
x_line_edit.setText(str(coords[0]))
y_line_edit.setText(str(coords[1]))示例2: __init__
# 需要导入模块: from pyqtgraph import PlotWidget [as 别名]
# 或者: from pyqtgraph.PlotWidget import show [as 别名]
class Plotter:
""" This class communicates with the matplotlib library
and plot the data
"""
def __init__(self, size):
"""Initialize the plot window, size defines the shape and size
of the figure
0 - None,
1 - 8x6,
11 (default) - 12x8,
2 - 2 figs 8x8,
12 - 2 figs 12x8
"""
# print('ok')
class CustomViewBox(pg.ViewBox):
def __init__(self, *args, **kwds):
pg.ViewBox.__init__(self, *args, **kwds)
self.setMouseMode(self.RectMode)
## reimplement right-click to zoom out
def mouseClickEvent(self, ev):
if ev.button() == QtCore.Qt.RightButton and QtGui.QApplication.keyboardModifiers()==QtCore.Qt.ControlModifier:
self.autoRange()
else:
pg.ViewBox.mouseClickEvent(self, ev)
def mouseDragEvent(self, ev):
mod = QtGui.QApplication.keyboardModifiers()
if mod == QtCore.Qt.ControlModifier:
self.setMouseMode(self.PanMode)
else:
self.setMouseMode(self.RectMode)
if ev.button() == QtCore.Qt.RightButton:
pg.ViewBox.mouseDragEvent(self, ev)
else:
pg.ViewBox.mouseDragEvent(self, ev)
self.vb = CustomViewBox()
# not necessary? def clear(self):
def ylog(self):
"""
Change y-scale to log
"""
vr = self._widget.plotItem.viewRange()
xr = vr[0]
yr = vr[1]
# print(xr,yr)
if yr[0]<=0:
yr[0]=1
yr[0]=np.log10(yr[0])
yr[1]=np.log10(yr[1])
# print(xr,yr)
self._widget.plotItem.disableAutoRange()
self._widget.plotItem.setLogMode(x=False, y=True)
self._widget.plotItem.setRange(xRange=xr, yRange=yr,padding=None)
def ylin(self):
"""
Change y-scale to linear
"""
vr = self._widget.plotItem.viewRange()
xr = vr[0]
yr = vr[1]
# print(xr,yr)
yr[0]=10**yr[0]
yr[1]=10**yr[1]
# print(xr,yr)
self._widget.plotItem.disableAutoRange()
self._widget.plotItem.setLogMode(x=False, y=False)
self._widget.plotItem.setRange(xRange=xr, yRange=yr,padding=None)
def plot1d(self, plot, xlim=None, ylim=None):
""" Plot 1D histogram
The mode defines the way the data are presented,
'histogram' is displayed with steps
'function' with continuus line
'errorbar' with yerrorbars
The norm (normalization factor) and bin_size are given
for the display purposes only. The histogram is not altered.
"""
histo = plot.histogram
self._widget = PlotWidget(viewBox=self.vb)
plt = self._widget.plotItem
plt.setTitle(histo.title)
plt.plot(histo.x_axis, histo.weights)
self._widget.show()
# if plot.mode == 'histogram':
# current_plot.plot()
# win.show()
# app.processEvents()
#.........这里部分代码省略.........