def plotHistogram(self, image, plot=None):
if plot == None:
pd = ArrayPlotData(y=np.array([0]), x=np.array([0]))
plot = Plot(pd, padding=(70, 10, 0, 0))
plot.plot(('x', 'y'), name='Histogram', type='bar', bar_width=5.0, color='auto')
#plot.title = 'Histogram'
plot.line_color = 'black'
plot.bgcolor = "white"
plot.fixed_preferred_size = (100, 30)
add_default_grids(plot)
plot.value_axis.title = "Histogram"
self._appendHistogramTools(plot)
'''
plot.overlays.append(PlotAxis(plot, orientation='left'))
plot.overlays.append(PlotAxis(plot, orientation='bottom'))
'''
else:
data = np.histogram(image.data, bins=10000)
index = np.delete(data[1], data[1].size-1)
values = data[0]
plot.index_range.low= np.min(index)
plot.index_range.high = np.max(index)
plot.value_range.low = 0
plot.value_range.high = np.max(values)
plot.data.set_data('x', index)
plot.data.set_data('y', values)
plot.request_redraw()
return plot
def plotImage(self, image, plot=None):
'''plot one image
image: Image object
plot: plot instance to be update, if None, a plot instance will be created
return: plot instance'''
if plot == None:
pd = ArrayPlotData()
pd.set_data('imagedata', image.data)
plot = Plot(pd, default_origin = "bottom left", padding=0)
#plot.title = image.name
plot.bgcolor = 'white'
plot.fixed_preferred_size = (100, 100)
plot.x_axis.visible = False
plot.y_axis.visible = False
self.imageplot = plot
# TODO: mess with color maps on else block
imgPlot = plot.img_plot("imagedata", colormap=jet, name='image')[0]
self.imgPlot = imgPlot
self._appendImageTools(imgPlot)
#plot.overlays.append(MyLineDrawer(plot))
else:
plot.data.set_data('imagedata', image.data)
imgPlot = plot.plots['image'][0]
#plot.title = image.name
plot.aspect_ratio = float(image.data.shape[1]) / image.data.shape[0]
plot.invalidate_draw()
return plot
def plotImage(self, image, plot=None):
'''Plots a tiff image.
| image -- Image object
| plot -- plot instance to be updated
| if None, a plot instance will be created
Returns the plot instance.
'''
if plot == None:
pd = ArrayPlotData()
pd.set_data('imagedata', image.data)
plot = Plot(pd, default_origin = "bottom left", padding=0)
plot.bgcolor = 'white'
plot.fixed_preferred_size = (100, 100)
plot.x_axis.visible = False
plot.y_axis.visible = False
self.imageplot = plot
imgPlot = plot.img_plot("imagedata", colormap=self.cmap,
name='image')[0]
self.imgPlot = imgPlot
self.appendImageTools(imgPlot)
else:
plot.data.set_data('imagedata', image.data)
plot.aspect_ratio = float(image.data.shape[1]) / image.data.shape[0]
plot.invalidate_and_redraw()
return plot
def plot1DCut(self, image, plot=None):
'''Plots a 1D cut of the image.
Currently, the 1D cut is a plot of mean intensity vs column #.
| image -- Image object
| plot -- plot instance to be updated
| if None, a plot instance will be created
Returns the plot instance.
'''
if plot == None:
pd = ArrayPlotData(y=np.array([0]), x=np.array([0]))
plot = Plot(pd, padding=(70, 10, 0, 5))
plot.plot(('x', 'y'), name='1D Cut', type='line', color='blue')
plot.value_axis.title = '1D Cut'
plot.x_axis.visible = False
plot.bgcolor = "white"
plot.fixed_preferred_size = (100, 30)
plot.value_range.low = 'auto'
plot.value_range.high = 'auto'
plot.index_range.low = 'auto'
plot.index_range.high = 'auto'
self.append1DCutTools(plot)
else:
index = range(image.data.shape[1])
values = image.data.mean(axis=0)
self.setData(values, index, plot)
plot.invalidate_and_redraw()
return plot
def plotHistogram(self, image, plot=None):
'''Plots a histogram.
| image -- Image object
| plot -- plot instance to be updated
| if None, a plot instance will be created
Returns the plot instance.
'''
if plot == None:
pd = ArrayPlotData(y=np.array([0]), x=np.array([0]))
plot = Plot(pd, padding=(70, 10, 0, 0))
plot.plot(('x', 'y'), name='Histogram', type='bar', bar_width=1.0)
plot.line_color = 'black'
plot.bgcolor = "white"
plot.fixed_preferred_size = (100, 30)
add_default_grids(plot)
plot.value_range.low = 'auto'
plot.value_range.high = 'auto'
plot.index_range.low = 'auto'
plot.index_range.high = 'auto'
plot.value_axis.title = "Histogram"
self.appendHistogramTools(plot)
else:
data = np.histogram(image.data, bins=10000)
index = np.delete(data[1], data[1].size-1)
values = data[0]
self.setData(values, index, plot)
plot.invalidate_and_redraw()
return plot
def plotRRMap(self, ydata, title, plot=None):
'''Plots an RR map.
| ydata -- y-data to be plotted
| title -- RR type, to be displayed on y-axis
| plot -- plot instance to be updated
| if None, a plot instance will be created
Returns the plot instance.
'''
if plot == None:
pd = ArrayPlotData()
plot = Plot(pd, padding=(79, 5, 0, 0))
self.setData(ydata, None, plot)
plot.plot(('x', 'y'), name='rrplot', type="scatter", color='green',
marker="circle", marker_size=6)
plot.value_axis.title = title
plot.bgcolor = 'white'
plot.aspect_ratio = 2.5
plot.fixed_preferred_size = (100, 50)
plot.y_axis.tick_label_formatter = lambda val:('%.2E'%val)
plot.x_axis.visible = False
hgrid, vgrid = add_default_grids(plot)
self.appendRRTools(plot)
else:
self.setData(ydata, None, plot)
plot.invalidate_and_redraw()
return plot
def plotRRMap(self, rr, rrchoice, plot=None):
if plot == None:
pd = ArrayPlotData(y=np.array([0]), x=np.array([0]))
plot = Plot(pd, padding=(70, 5, 0, 0))
self._setData(rr, plot)
plot.plot(('x', 'y'), name='rrplot', type="scatter", color='green',
marker="circle", marker_size=6)
#plot.title = 'rrplot'
plot.value_axis.title = rrchoice
#plot.y_axis.visible = False
plot.bgcolor = 'white'
plot.aspect_ratio = 2.5
plot.fixed_preferred_size = (100, 50)
#left, bottom = add_default_axes(plot)
hgrid, vgrid = add_default_grids(plot)
self._appendCMapTools(plot)
else:
self._setData(rr, plot)
plot.request_redraw()
return plot
