本文整理汇总了Python中PyQt4.Qt.QStackedWidget.setCurrentWidget方法的典型用法代码示例。如果您正苦于以下问题：Python QStackedWidget.setCurrentWidget方法的具体用法？Python QStackedWidget.setCurrentWidget怎么用？Python QStackedWidget.setCurrentWidget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PyQt4.Qt.QStackedWidget的用法示例。
在下文中一共展示了QStackedWidget.setCurrentWidget方法的1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: ImageControlDialog
# 需要导入模块: from PyQt4.Qt import QStackedWidget [as 别名]
# 或者: from PyQt4.Qt.QStackedWidget import setCurrentWidget [as 别名]
#.........这里部分代码省略.........
try:
self._cb_item.setIntensityMap(imap)
self._updateITF()
self._histplot.replot()
self._wimap.setCurrentIndex(index)
if isinstance(imap, Colormaps.LogIntensityMap):
self._wlogcycles.setValue(imap.log_cycles)
self._setIntensityLogCyclesLabel(imap.log_cycles)
self._wlogcycles.show()
self._wlogcycles_label.show()
else:
self._wlogcycles.hide()
self._wlogcycles_label.hide()
finally:
self._updating_imap = False
def _updateColorMap(self, cmap):
self._cb_item.setColorMap(cmap)
self._histplot.replot()
try:
index = self._rc.getColormapList().index(cmap)
except:
return
self._setCurrentColormapNumber(index, cmap)
def _previewColormapParameters(self, index, cmap):
"""Called to preview a new colormap parameter value"""
self._histplot.replot()
self._wcolmaps.setItemIcon(index, QIcon(cmap.makeQPixmap(128, 16)))
def _setCurrentColormapNumber(self, index, cmap):
self._wcolmaps.setCurrentIndex(index)
# show controls for colormap
self._wcolmap_control_stack.setCurrentWidget(self._colmap_controls[index])
def _changeDisplayRange(self):
"""Gets display range from widgets and updates the image with it."""
try:
newrange = [float(str(w.text())) for w in self._wrange]
except ValueError:
return
self._rc.setDisplayRange(*newrange)
def _setHistDisplayRange(self):
self._rc.setDisplayRange(*self._hist_range)
def _updateImageSlice(self, slice):
for i, (iextra, name, labels) in enumerate(self._rc.slicedAxes()):
self._wslicers[i].setCurrentIndex(slice[iextra])
def _changeDisplayRangeToPercent(self, percent):
busy = BusyIndicator()
if self._hist is None:
self._updateHistogram()
self._updateStats(self._subset, self._subset_range)
# delta: we need the [delta,100-delta] interval of the total distribution
delta = self._subset.size * ((100. - percent) / 200.)
# get F(x): cumulative sum
cumsum = numpy.zeros(len(self._hist_hires) + 1, dtype=int)
cumsum[1:] = numpy.cumsum(self._hist_hires)
bins = numpy.zeros(len(self._hist_hires) + 1, dtype=float)
bins[0] = self._subset_range[0]
bins[1:] = self._hist_bins_hires + self._hist_binsize_hires / 2
# use interpolation to find value interval corresponding to [delta,100-delta] of the distribution
dprint(2, self._subset.size, delta, self._subset.size - delta)
dprint(2, cumsum, self._hist_bins_hires)