def _showVolumeColorSlices(self, param=None):
imageFile = self.protocol._getFileName(RESMAP_VOL)
imgData, _, _, _ = self.getImgData(imageFile)
xplotter = EmPlotter(x=2,
y=2,
mainTitle="Local Resolution Slices "
"along %s-axis." % self._getAxis())
# The slices to be shown are close to the center. Volume size is divided
# in segments, the fourth central ones are selected i.e. 3,4,5,6
for i in list(range(3, 7)):
sliceNumber = self.getSlice(i, imgData)
a = xplotter.createSubPlot("Slice %s" % (sliceNumber + 1), '', '')
matrix = self.getSliceImage(imgData, sliceNumber, self._getAxis())
plot = xplotter.plotMatrix(a,
matrix,
self.lowest.get(),
self.highest.get(),
cmap=self.getColorMap(),
interpolation="nearest")
xplotter.getColorBar(plot)
return [xplotter]
def _showOneColorslice(self, param=None):
imageFile = self.protocol._getFileName(RESMAP_VOL)
imgData, _, _, volDims = self.getImgData(imageFile)
print(volDims)
xplotter = EmPlotter(x=1,
y=1,
mainTitle="Local Resolution Slices "
"along %s-axis." % self._getAxis())
sliceNumber = self.sliceNumber.get()
if sliceNumber < 0:
sliceNumber = volDims[0] / 2
else:
sliceNumber -= 1
# sliceNumber has no sense to start in zero
a = xplotter.createSubPlot("Slice %s" % (sliceNumber + 1), '', '')
matrix = self.getSliceImage(imgData, sliceNumber, self._getAxis())
plot = xplotter.plotMatrix(a,
matrix,
self.lowest.get(),
self.highest.get(),
cmap=self.getColorMap(),
interpolation="nearest")
xplotter.getColorBar(plot)
return [xplotter]