def test_side_histogram_cmapper(self):
"""Assert histogram shares colormapper"""
x, y = np.mgrid[-50:51, -50:51] * 0.1
img = Image(np.sin(x**2 + y**2), bounds=(-1, -1, 1, 1))
plot = bokeh_renderer.get_plot(img.hist())
plot.initialize_plot()
adjoint_plot = list(plot.subplots.values())[0]
main_plot = adjoint_plot.subplots['main']
right_plot = adjoint_plot.subplots['right']
self.assertIs(main_plot.handles['color_mapper'],
right_plot.handles['color_mapper'])
self.assertEqual(main_plot.handles['color_dim'], img.vdims[0])
def test_side_histogram_cmapper_weighted(self):
"""Assert weighted histograms share colormapper"""
x,y = np.mgrid[-50:51, -50:51] * 0.1
img = Image(np.sin(x**2+y**2), bounds=(-1,-1,1,1))
adjoint = img.hist(dimension=['x', 'y'], weight_dimension='z',
mean_weighted=True)
plot = bokeh_renderer.get_plot(adjoint)
plot.initialize_plot()
adjoint_plot = list(plot.subplots.values())[0]
main_plot = adjoint_plot.subplots['main']
right_plot = adjoint_plot.subplots['right']
top_plot = adjoint_plot.subplots['top']
self.assertIs(main_plot.handles['color_mapper'],
right_plot.handles['color_mapper'])
self.assertIs(main_plot.handles['color_mapper'],
top_plot.handles['color_mapper'])
self.assertEqual(main_plot.handles['color_dim'], img.vdims[0])
