def _visualizeHistogram(self, e=None):
views = []
self.isComputed()
numberOfBins = self.visualizeHistogram.get()
numberOfBins = min(numberOfBins, self.setOfCTFsConst.getSize())
plotter = EmPlotter()
plotter.createSubPlot("Resolution Discrepancies histogram",
"Resolution (A)", "# of Comparisons")
resolution = [ctf.resolution.get() for ctf in self.setOfCTFsConst]
plotter.plotHist(resolution, nbins=numberOfBins)
return views.append(plotter)
def _visualizeHistogram(self, e=None):
views = []
self.isComputed()
numberOfBins = self.visualizeHistogram.get()
numberOfBins = min(numberOfBins, self.setOfCTFsConst.getSize())
plotter = EmPlotter()
plotter.createSubPlot("Resolution Discrepancies histogram",
"Resolution (A)", "# of Comparisons")
resolution = [ctf.resolution.get() for ctf in self.setOfCTFsConst]
plotter.plotHist(resolution, nbins=numberOfBins)
return views.append(plotter)
def _visualizeHistogram(self, e=None):
views = []
numberOfBins = self.visualizeHistogram.get()
numberOfBins = min(numberOfBins, self.protocol.outputCTF.getSize())
plotter = EmPlotter()
plotter.createSubPlot("Resolution Discrepancies histogram",
"Resolution (A)", "# of Comparisons")
resolution = [ctf.getResolution() for ctf in self.protocol.outputCTF]
plotter.plotHist(resolution, nbins=numberOfBins)
# ROB: why do I need this show?
plotter.show()
return views.append(plotter)
def _plotHistogram(self, param=None):
imageFile = self.protocol._getFileName(FN_RESOLMAP)
img = ImageHandler().read(imageFile)
imgData = img.getData()
imgList = imgData.flatten()
imgListNoZero = filter(lambda x: x > 0, imgList)
nbins = 30
plotter = EmPlotter(x=1, y=1, mainTitle=" ")
plotter.createSubPlot("Resolution histogram", "Resolution (A)",
"# of Counts")
fig = plotter.plotHist(imgListNoZero, nbins)
return [plotter]
def _onPlotClick(self, e=None):
selection = self.tree.selection()
n = len(selection)
if n < 1 or n > 2:
self.showError("Select one or two variables to plot.")
else:
plotter = EmPlotter()
varX = self._variables[selection[0]]
xValues = self.observations[:, varX.index]
def _label(var):
return "%s [%s]" % (var.varName, var.unitStr)
if n == 1:
plotter.createSubPlot("Histogram", _label(varX), "Count")
plotter.plotHist(xValues, 50)
else: # n == 2
varY = self._variables[selection[1]]
yValues = self.observations[:, varY.index]
ax = plotter.createSubPlot("Scatter Plot", _label(varX),
_label(varY))
ax.plot(xValues, yValues, '.')
plotter.show()
def _onPlotClick(self, e=None):
selection = self.tree.selection()
n = len(selection)
if n < 1 or n > 2:
self.showError("Select one or two variables to plot.")
else:
plotter = EmPlotter()
varX = self._variables[selection[0]]
xValues = self.observations[:, varX.index]
def _label(var):
return "%s [%s]" % (var.varName, var.unitStr)
if n == 1:
plotter.createSubPlot("Histogram", _label(varX), "Count")
plotter.plotHist(xValues, 50)
else: # n == 2
varY = self._variables[selection[1]]
yValues = self.observations[:, varY.index]
ax = plotter.createSubPlot("Scatter Plot",
_label(varX), _label(varY))
ax.plot(xValues, yValues, '.')
plotter.show()
