def _create_corr_plot(self):
plot = Plot(self.plotdata, padding=0)
plot.padding_left = 25
plot.padding_bottom = 25
plot.tools.append(PanTool(plot))
plot.overlays.append(ZoomTool(plot))
self.corr_plot = plot
def __init__(self):
# Create the data and the PlotData object
x = linspace(-14, 14, 100)
y = sin(x) * x**3
plotdata = ArrayPlotData(x = x, y = y)
# Create the scatter plot
scatter = Plot(plotdata)
scatter.plot(("x", "y"), type="scatter", color="blue")
# Create the line plot
line = Plot(plotdata)
line.plot(("x", "y"), type="line", color="blue")
# Create a horizontal container and put the two plots inside it
container = HPlotContainer(scatter, line)
container.spacing = 0
scatter.padding_right = 0
line.padding_left = 0
line.y_axis.orientation = "right"
self.plot = container
def create_plot_component(self):
self.plot_data = ArrayPlotData()
self.plot_data.set_data("imagedata", self.model.intens_yz)
self.plot_data.set_data('vert_image',self.model.intens_xz)
self.plot_data.set_data('beam_section', self.model.intens_xy)
# Create a contour polygon plot of the data
plot = Plot(self.plot_data)
plot.title = 'Horizontal plane'
plot.padding=5
plot.padding_top = 22
plot.padding_left=25
plot.padding_bottom=20
my_plot = plot.img_plot("imagedata", name='my_plot', # xbounds=x,#ybounds=y,
colormap=jet, hide_grids=True)[0]
colormap = my_plot.color_mapper
colorbar = ColorBar(index_mapper=LinearMapper(range=colormap.range),
color_mapper=colormap,
plot=my_plot,
orientation='v',
resizable='v',
width=25,
padding=0)
colorbar.padding_top = plot.padding_top
colorbar.padding_bottom = plot.padding_bottom
colorbar.padding_left = 35
colorbar.padding_right = 30
colorbar._axis.tick_label_formatter = lambda x: ('%.0e'%x)
rplot = Plot(self.plot_data)
rplot.title = 'Vertical plane'
rplot.padding=plot.padding
rplot.padding_top = plot.padding_top
rplot.padding_left = plot.padding_left
rplot.padding_bottom = plot.padding_bottom
my_plot = rplot.img_plot('vert_image',name='vert_plot',colormap=jet)[0]
colormap = my_plot.color_mapper
colorbar_rplot = ColorBar(index_mapper=LinearMapper(range=colormap.range),
color_mapper=colormap,
plot=my_plot,
orientation='v',
resizable='v',
width=25,
padding=0)
colorbar_rplot.padding_top = plot.padding_top
colorbar_rplot.padding_bottom = plot.padding_bottom
colorbar_rplot.padding_right = 20
colorbar_rplot.padding_left = 35
colorbar_rplot._axis.tick_label_formatter = lambda x: ('%.0e'%x)
sec_plot = Plot(self.plot_data)
sec_plot.title = 'Beam section'
sec_plot.padding=plot.padding
sec_plot.padding_top = plot.padding_top
sec_plot.padding_left = plot.padding_left
sec_plot.padding_bottom = plot.padding_bottom
my_plot = sec_plot.img_plot('beam_section',name='beam_section_plot',colormap=jet)[0]
colormap = my_plot.color_mapper
colorbar_sec_plot = ColorBar(index_mapper=LinearMapper(range=colormap.range),
color_mapper=colormap,
plot=my_plot,
orientation='v',
resizable='v',
width=25,
padding=0)
colorbar_sec_plot.padding_top = plot.padding_top
colorbar_sec_plot.padding_bottom = plot.padding_bottom
colorbar_sec_plot.padding_right = 20
colorbar_sec_plot.padding_left = 35
colorbar_sec_plot._axis.tick_label_formatter = lambda x: ('%.0e'%x)
container = HPlotContainer(use_backbuffer = True)
container.add(plot)
container.add(colorbar)
container.add(rplot)
container.add(colorbar_rplot)
container.add(sec_plot)
container.add(colorbar_sec_plot)
self.plot_container = container
