def test_side_histogram_no_cmapper(self):
points = Points(np.random.rand(100, 2))
plot = bokeh_renderer.get_plot(points.hist())
plot.initialize_plot()
adjoint_plot = list(plot.subplots.values())[0]
main_plot = adjoint_plot.subplots['main']
right_plot = adjoint_plot.subplots['right']
self.assertTrue('color_mapper' not in main_plot.handles)
self.assertTrue('color_mapper' not in right_plot.handles)
def do_crossfilter_points_histogram(self,
selection_mode,
cross_filter_mode,
selected1,
selected2,
selected3,
selected4,
points_region1,
points_region2,
points_region3,
points_region4,
hist_region2,
hist_region3,
hist_region4,
show_regions=True,
dynamic=False):
points = Points(self.data)
hist = points.hist('x', adjoin=False, normed=False, num_bins=5)
if dynamic:
# Convert points to DynamicMap that returns the element
hist_orig = hist
points = hv.util.Dynamic(points)
else:
hist_orig = hist
lnk_sel = link_selections.instance(selection_mode=selection_mode,
cross_filter_mode=cross_filter_mode,
show_regions=show_regions,
selected_color='#00ff00',
unselected_color='#ff0000')
linked = lnk_sel(points + hist)
current_obj = linked[()]
# Check initial base points
self.check_base_points_like(current_obj[0][()].Points.I, lnk_sel)
# Check initial selection overlay points
self.check_overlay_points_like(current_obj[0][()].Points.II, lnk_sel,
self.data)
# Initial region bounds all None
self.assertEqual(len(current_obj[0][()].Curve.I), 0)
# Check initial base histogram
base_hist = current_obj[1][()].Histogram.I
self.assertEqual(self.element_color(base_hist),
lnk_sel.unselected_color)
self.assertEqual(base_hist.data, hist_orig.data)
# Check initial selection overlay Histogram
selection_hist = current_obj[1][()].Histogram.II
self.assertEqual(
self.element_color(selection_hist),
self.expected_selection_color(selection_hist, lnk_sel))
self.assertEqual(selection_hist, base_hist)
# No selection region
region_hist = current_obj[1][()].NdOverlay.I.last
self.assertEqual(region_hist.data, [None, None])
# (1) Perform selection on points of points [1, 2]
points_boundsxy = lnk_sel._selection_expr_streams[0].input_streams[0]
self.assertIsInstance(points_boundsxy, SelectionXY)
points_boundsxy.event(bounds=(1, 1, 4, 4))
# Get current object
current_obj = linked[()]
# Check base points unchanged
self.check_base_points_like(current_obj[0][()].Points.I, lnk_sel)
# Check points selection overlay
self.check_overlay_points_like(current_obj[0][()].Points.II, lnk_sel,
self.data.iloc[selected1])
# Check points region bounds
region_bounds = current_obj[0][()].Rectangles.I
self.assertEqual(region_bounds, Rectangles(points_region1))
if show_regions:
self.assertEqual(self.element_color(region_bounds),
box_region_color)
# (2) Perform selection on histogram bars [0, 1]
hist_boundsxy = lnk_sel._selection_expr_streams[1].input_streams[0]
self.assertIsInstance(hist_boundsxy, SelectionXY)
hist_boundsxy.event(bounds=(0, 0, 2.5, 2))
points_unsel, points_sel, points_region, points_region_poly = current_obj[
0][()].values()
# Check points selection overlay
self.check_overlay_points_like(points_sel, lnk_sel,
self.data.iloc[selected2])
self.assertEqual(points_region, Rectangles(points_region2))
# Check base histogram unchanged
base_hist, region_hist, sel_hist = current_obj[1][()].values()
self.assertEqual(self.element_color(base_hist),
lnk_sel.unselected_color)
self.assertEqual(base_hist.data, hist_orig.data)
# Check selection region covers first and second bar
if show_regions:
self.assertEqual(self.element_color(region_hist.last),
hist_region_color)
if not len(hist_region2) and lnk_sel.selection_mode != 'inverse':
self.assertEqual(len(region_hist), 1)
else:
self.assertEqual(region_hist.last.data, [0, 2.5])
# Check histogram selection overlay
self.assertEqual(self.element_color(sel_hist),
self.expected_selection_color(sel_hist, lnk_sel))
self.assertEqual(
sel_hist.data,
hist_orig.pipeline(hist_orig.dataset.iloc[selected2]).data)
# (3) Perform selection on points points [0, 2]
points_boundsxy = lnk_sel._selection_expr_streams[0].input_streams[0]
self.assertIsInstance(points_boundsxy, SelectionXY)
points_boundsxy.event(bounds=(0, 0, 4, 2.5))
# Check selection overlay points contains only second point
self.check_overlay_points_like(current_obj[0][()].Points.II, lnk_sel,
self.data.iloc[selected3])
# Check points region bounds
region_bounds = current_obj[0][()].Rectangles.I
self.assertEqual(region_bounds, Rectangles(points_region3))
# Check second and third histogram bars selected
selection_hist = current_obj[1][()].Histogram.II
self.assertEqual(
selection_hist.data,
hist_orig.pipeline(hist_orig.dataset.iloc[selected3]).data)
# Check selection region covers first and second bar
region_hist = current_obj[1][()].NdOverlay.I.last
if not len(hist_region3) and lnk_sel.selection_mode != 'inverse':
self.assertEqual(len(region_hist), 1)
else:
self.assertEqual(region_hist.data, [0, 2.5])
# (4) Perform selection of bars [1, 2]
hist_boundsxy = lnk_sel._selection_expr_streams[1].input_streams[0]
self.assertIsInstance(hist_boundsxy, SelectionXY)
hist_boundsxy.event(bounds=(1.5, 0, 3.5, 2))
# Check points selection overlay
self.check_overlay_points_like(current_obj[0][()].Points.II, lnk_sel,
self.data.iloc[selected4])
# Check points region bounds
region_bounds = current_obj[0][()].Rectangles.I
self.assertEqual(region_bounds, Rectangles(points_region4))
# Check bar selection region
region_hist = current_obj[1][()].NdOverlay.I.last
if show_regions:
self.assertEqual(self.element_color(region_hist),
hist_region_color)
if not len(hist_region4) and lnk_sel.selection_mode != 'inverse':
self.assertEqual(len(region_hist), 1)
elif (lnk_sel.cross_filter_mode != 'overwrite'
and not (lnk_sel.cross_filter_mode == 'intersect'
and lnk_sel.selection_mode == 'overwrite')):
self.assertEqual(region_hist.data, [0, 3.5])
else:
self.assertEqual(region_hist.data, [1.5, 3.5])
# Check bar selection overlay
selection_hist = current_obj[1][()].Histogram.II
self.assertEqual(
self.element_color(selection_hist),
self.expected_selection_color(selection_hist, lnk_sel))
self.assertEqual(
selection_hist.data,
hist_orig.pipeline(hist_orig.dataset.iloc[selected4]).data)
