File: C:/Users/fred/anaconda3/Lib/site-packages/holoviews/tests/test_selection.py
from unittest import SkipTest, skip, skipIf
import pandas as pd
import panel as pn
import holoviews as hv
from holoviews.core.options import Cycle, Store
from holoviews.element import ErrorBars, Points, Rectangles, Table, VSpan
from holoviews.element.comparison import ComparisonTestCase
from holoviews.plotting.util import linear_gradient
from holoviews.selection import link_selections
from holoviews.streams import SelectionXY
try:
from holoviews.operation.datashader import datashade, dynspread
except ImportError:
datashade = None
ds_skip = skipIf(datashade is None, "Datashader not available")
unselected_color = "#ff0000"
box_region_color = linear_gradient(unselected_color, "#000000", 9)[3]
hist_region_color = linear_gradient(unselected_color, "#000000", 9)[1]
class TestLinkSelections(ComparisonTestCase):
__test__ = False
def setUp(self):
self.data = pd.DataFrame(
{'x': [1, 2, 3],
'y': [0, 3, 2],
'e': [1, 1.5, 2],
},
columns=['x', 'y', 'e']
)
def element_color(self, element):
raise NotImplementedError
def check_base_points_like(self, base_points, lnk_sel, data=None):
if data is None:
data = self.data
self.assertEqual(
self.element_color(base_points),
lnk_sel.unselected_color
)
self.assertEqual(base_points.data, data)
@staticmethod
def get_value_with_key_type(d, hvtype):
for k, v in d.items():
if isinstance(k, hvtype) or \
isinstance(k, hv.DynamicMap) and k.type == hvtype:
return v
raise KeyError(f"No key with type {hvtype}")
@staticmethod
def expected_selection_color(element, lnk_sel):
if lnk_sel.selected_color is not None:
expected_color = lnk_sel.selected_color
else:
expected_color = element.opts.get(group='style')[0].get('color')
return expected_color
def check_overlay_points_like(self, overlay_points, lnk_sel, data):
self.assertEqual(
self.element_color(overlay_points),
self.expected_selection_color(overlay_points, lnk_sel),
)
self.assertEqual(overlay_points.data, data)
def test_points_selection(self, dynamic=False, show_regions=True):
points = Points(self.data)
if dynamic:
# Convert points to DynamicMap that returns the element
points = hv.util.Dynamic(points)
lnk_sel = link_selections.instance(show_regions=show_regions,
unselected_color='#ff0000')
linked = lnk_sel(points)
current_obj = linked[()]
# Check initial state of linked dynamic map
self.assertIsInstance(current_obj, hv.Overlay)
unselected, selected, region, region2 = current_obj.values()
# Check initial base layer
self.check_base_points_like(unselected, lnk_sel)
# Check selection layer
self.check_overlay_points_like(selected, lnk_sel, self.data)
# Perform selection of second and third point
selectionxy = TestLinkSelections.get_value_with_key_type(
lnk_sel._selection_expr_streams, hv.Points
).input_streams[0].input_stream.input_streams[0]
self.assertIsInstance(selectionxy, hv.streams.SelectionXY)
selectionxy.event(bounds=(0, 1, 5, 5))
unselected, selected, region, region2 = linked[()].values()
# Check that base layer is unchanged
self.check_base_points_like(unselected, lnk_sel)
# Check selection layer
self.check_overlay_points_like(selected, lnk_sel, self.data.iloc[1:])
if show_regions:
self.assertEqual(region, Rectangles([(0, 1, 5, 5)]))
else:
self.assertEqual(region, Rectangles([]))
def test_points_selection_hide_region(self):
self.test_points_selection(show_regions=False)
def test_points_selection_dynamic(self):
self.test_points_selection(dynamic=True)
def test_layout_selection_points_table(self):
points = Points(self.data)
table = Table(self.data)
lnk_sel = link_selections.instance(
selected_color="#aa0000", unselected_color='#ff0000'
)
linked = lnk_sel(points + table)
current_obj = linked[()]
# Check initial base points
self.check_base_points_like(
current_obj[0][()].Points.I,
lnk_sel
)
# Check initial selection points
self.check_overlay_points_like(current_obj[0][()].Points.II, lnk_sel,
self.data)
# Check initial table
self.assertEqual(
self.element_color(current_obj[1][()]),
[lnk_sel.selected_color] * len(self.data)
)
# Select first and third point
selectionxy = TestLinkSelections.get_value_with_key_type(
lnk_sel._selection_expr_streams, hv.Points
).input_streams[0].input_stream.input_streams[0]
selectionxy.event(bounds=(0, 0, 4, 2))
current_obj = linked[()]
# Check base points
self.check_base_points_like(
current_obj[0][()].Points.I,
lnk_sel
)
# Check selection points
self.check_overlay_points_like(current_obj[0][()].Points.II, lnk_sel,
self.data.iloc[[0, 2]])
# Check selected table
self.assertEqual(
self.element_color(current_obj[1][()]),
[
lnk_sel.selected_color,
lnk_sel.unselected_color,
lnk_sel.selected_color,
]
)
def test_overlay_points_errorbars(self, dynamic=False):
points = Points(self.data)
error = ErrorBars(self.data, kdims='x', vdims=['y', 'e'])
lnk_sel = link_selections.instance(unselected_color='#ff0000')
overlay = points * error
if dynamic:
overlay = hv.util.Dynamic(overlay)
linked = lnk_sel(overlay)
current_obj = linked[()]
# Check initial base layers
self.check_base_points_like(current_obj.Points.I, lnk_sel)
self.check_base_points_like(current_obj.ErrorBars.I, lnk_sel)
# Check initial selection layers
self.check_overlay_points_like(current_obj.Points.II, lnk_sel, self.data)
self.check_overlay_points_like(current_obj.ErrorBars.II, lnk_sel, self.data)
# Select first and third point
selectionxy = TestLinkSelections.get_value_with_key_type(
lnk_sel._selection_expr_streams, hv.Points
).input_streams[0].input_stream.input_streams[0]
selectionxy.event(bounds=(0, 0, 4, 2))
current_obj = linked[()]
# Check base layers haven't changed
self.check_base_points_like(current_obj.Points.I, lnk_sel)
self.check_base_points_like(current_obj.ErrorBars.I, lnk_sel)
# Check selected layers
self.check_overlay_points_like(current_obj.Points.II, lnk_sel,
self.data.iloc[[0, 2]])
self.check_overlay_points_like(current_obj.ErrorBars.II, lnk_sel,
self.data.iloc[[0, 2]])
@ds_skip
def test_datashade_selection(self):
points = Points(self.data)
layout = points + dynspread(datashade(points))
lnk_sel = link_selections.instance(unselected_color='#ff0000')
linked = lnk_sel(layout)
current_obj = linked[()]
# Check base points layer
self.check_base_points_like(current_obj[0][()].Points.I, lnk_sel)
# Check selection layer
self.check_overlay_points_like(current_obj[0][()].Points.II, lnk_sel, self.data)
# Check RGB base layer
self.assertEqual(
current_obj[1][()].RGB.I,
dynspread(
datashade(points, cmap=lnk_sel.unselected_cmap, alpha=255)
)[()]
)
# Check RGB selection layer
self.assertEqual(
current_obj[1][()].RGB.II,
dynspread(
datashade(points, cmap=lnk_sel.selected_cmap, alpha=255)
)[()]
)
# Perform selection of second and third point
selectionxy = TestLinkSelections.get_value_with_key_type(
lnk_sel._selection_expr_streams, hv.Points
).input_streams[0].input_stream.input_streams[0]
self.assertIsInstance(selectionxy, SelectionXY)
selectionxy.event(bounds=(0, 1, 5, 5))
current_obj = linked[()]
# Check that base points layer is unchanged
self.check_base_points_like(current_obj[0][()].Points.I, lnk_sel)
# Check points selection layer
self.check_overlay_points_like(current_obj[0][()].Points.II, lnk_sel,
self.data.iloc[1:])
# Check that base RGB layer is unchanged
self.assertEqual(
current_obj[1][()].RGB.I,
dynspread(
datashade(points, cmap=lnk_sel.unselected_cmap, alpha=255)
)[()]
)
# Check selection RGB layer
self.assertEqual(
current_obj[1][()].RGB.II,
dynspread(
datashade(
points.iloc[1:], cmap=lnk_sel.selected_cmap, alpha=255
)
)[()]
)
@ds_skip
def test_datashade_in_overlay_selection(self):
points = Points(self.data)
layout = points * dynspread(datashade(points))
lnk_sel = link_selections.instance(unselected_color='#ff0000')
linked = lnk_sel(layout)
current_obj = linked[()]
# Check base points layer
self.check_base_points_like(current_obj[()].Points.I, lnk_sel)
# Check selection layer
self.check_overlay_points_like(current_obj[()].Points.II, lnk_sel, self.data)
# Check RGB base layer
self.assertEqual(
current_obj[()].RGB.I,
dynspread(
datashade(points, cmap=lnk_sel.unselected_cmap, alpha=255)
)[()]
)
# Check RGB selection layer
self.assertEqual(
current_obj[()].RGB.II,
dynspread(
datashade(points, cmap=lnk_sel.selected_cmap, alpha=255)
)[()]
)
# Perform selection of second and third point
selectionxy = TestLinkSelections.get_value_with_key_type(
lnk_sel._selection_expr_streams, hv.Points
).input_streams[0].input_stream.input_streams[0]
self.assertIsInstance(selectionxy, SelectionXY)
selectionxy.event(bounds=(0, 1, 5, 5))
current_obj = linked[()]
# Check that base points layer is unchanged
self.check_base_points_like(current_obj[()].Points.I, lnk_sel)
# Check points selection layer
self.check_overlay_points_like(current_obj[()].Points.II, lnk_sel,
self.data.iloc[1:])
# Check that base RGB layer is unchanged
self.assertEqual(
current_obj[()].RGB.I,
dynspread(
datashade(points, cmap=lnk_sel.unselected_cmap, alpha=255)
)[()]
)
# Check selection RGB layer
self.assertEqual(
current_obj[()].RGB.II,
dynspread(
datashade(
points.iloc[1:], cmap=lnk_sel.selected_cmap, alpha=255
)
)[()]
)
def test_points_selection_streaming(self):
buffer = hv.streams.Buffer(self.data.iloc[:2], index=False)
points = hv.DynamicMap(Points, streams=[buffer])
lnk_sel = link_selections.instance(unselected_color='#ff0000')
linked = lnk_sel(points)
# Perform selection of first and (future) third point
selectionxy = TestLinkSelections.get_value_with_key_type(
lnk_sel._selection_expr_streams, hv.Points
).input_streams[0].input_stream.input_streams[0]
self.assertIsInstance(selectionxy, hv.streams.SelectionXY)
selectionxy.event(bounds=(0, 0, 4, 2))
current_obj = linked[()]
# Check initial base layer
self.check_base_points_like(
current_obj.Points.I, lnk_sel, self.data.iloc[:2]
)
# Check selection layer
self.check_overlay_points_like(current_obj.Points.II, lnk_sel,
self.data.iloc[[0]])
# Now stream third point to the DynamicMap
buffer.send(self.data.iloc[[2]])
current_obj = linked[()]
# Check initial base layer
self.check_base_points_like(
current_obj.Points.I, lnk_sel, self.data
)
# Check selection layer
self.check_overlay_points_like(current_obj.Points.II, lnk_sel,
self.data.iloc[[0, 2]])
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_selectionxy = TestLinkSelections.get_value_with_key_type(
lnk_sel._selection_expr_streams, hv.Points
).input_streams[0].input_stream.input_streams[0]
self.assertIsInstance(points_selectionxy, SelectionXY)
points_selectionxy.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_selectionxy = TestLinkSelections.get_value_with_key_type(
lnk_sel._selection_expr_streams, hv.Histogram
).input_streams[0].input_stream.input_streams[0]
self.assertIsInstance(hist_selectionxy, SelectionXY)
hist_selectionxy.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_selectionxy = TestLinkSelections.get_value_with_key_type(
lnk_sel._selection_expr_streams, hv.Points
).input_streams[0].input_stream.input_streams[0]
self.assertIsInstance(points_selectionxy, SelectionXY)
points_selectionxy.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_selectionxy = TestLinkSelections.get_value_with_key_type(
lnk_sel._selection_expr_streams, hv.Histogram
).input_streams[0].input_stream.input_streams[0]
self.assertIsInstance(hist_selectionxy, SelectionXY)
hist_selectionxy.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
)
# cross_filter_mode="overwrite"
def test_points_histogram_overwrite_overwrite(self, dynamic=False):
self.do_crossfilter_points_histogram(
selection_mode="overwrite", cross_filter_mode="overwrite",
selected1=[1, 2], selected2=[0, 1], selected3=[0, 2], selected4=[1, 2],
points_region1=[(1, 1, 4, 4)],
points_region2=[],
points_region3=[(0, 0, 4, 2.5)],
points_region4=[],
hist_region2=[0, 1], hist_region3=[], hist_region4=[1, 2],
dynamic=dynamic
)
def test_points_histogram_overwrite_overwrite_dynamic(self):
self.test_points_histogram_overwrite_overwrite(dynamic=True)
def test_points_histogram_intersect_overwrite(self, dynamic=False):
self.do_crossfilter_points_histogram(
selection_mode="intersect", cross_filter_mode="overwrite",
selected1=[1, 2], selected2=[0, 1], selected3=[0, 2], selected4=[1, 2],
points_region1=[(1, 1, 4, 4)],
points_region2=[],
points_region3=[(0, 0, 4, 2.5)],
points_region4=[],
hist_region2=[0, 1], hist_region3=[], hist_region4=[1, 2],
dynamic=dynamic
)
def test_points_histogram_intersect_overwrite_dynamic(self):
self.test_points_histogram_intersect_overwrite(dynamic=True)
def test_points_histogram_union_overwrite(self, dynamic=False):
self.do_crossfilter_points_histogram(
selection_mode="union", cross_filter_mode="overwrite",
selected1=[1, 2], selected2=[0, 1], selected3=[0, 2], selected4=[1, 2],
points_region1=[(1, 1, 4, 4)],
points_region2=[],
points_region3=[(0, 0, 4, 2.5)],
points_region4=[],
hist_region2=[0, 1], hist_region3=[], hist_region4=[1, 2],
dynamic=dynamic
)
def test_points_histogram_union_overwrite_dynamic(self):
self.test_points_histogram_union_overwrite(dynamic=True)
# cross_filter_mode="intersect"
def test_points_histogram_overwrite_intersect(self, dynamic=False):
self.do_crossfilter_points_histogram(
selection_mode="overwrite", cross_filter_mode="intersect",
selected1=[1, 2], selected2=[1], selected3=[0], selected4=[2],
points_region1=[(1, 1, 4, 4)],
points_region2=[(1, 1, 4, 4)],
points_region3=[(0, 0, 4, 2.5)],
points_region4=[(0, 0, 4, 2.5)],
hist_region2=[0, 1], hist_region3=[0, 1], hist_region4=[1, 2],
dynamic=dynamic
)
def test_points_histogram_overwrite_intersect_dynamic(self):
self.test_points_histogram_overwrite_intersect(dynamic=True)
def test_points_histogram_overwrite_intersect_hide_region(self, dynamic=False):
self.do_crossfilter_points_histogram(
selection_mode="overwrite", cross_filter_mode="intersect",
selected1=[1, 2], selected2=[1], selected3=[0], selected4=[2],
points_region1=[],
points_region2=[],
points_region3=[],
points_region4=[],
hist_region2=[], hist_region3=[], hist_region4=[],
show_regions=False, dynamic=dynamic
)
def test_points_histogram_overwrite_intersect_hide_region_dynamic(self):
self.test_points_histogram_overwrite_intersect_hide_region(dynamic=True)
def test_points_histogram_intersect_intersect(self, dynamic=False):
self.do_crossfilter_points_histogram(
selection_mode="intersect", cross_filter_mode="intersect",
selected1=[1, 2], selected2=[1], selected3=[], selected4=[],
points_region1=[(1, 1, 4, 4)],
points_region2=[(1, 1, 4, 4)],
points_region3=[(1, 1, 4, 4), (0, 0, 4, 2.5)],
points_region4=[(1, 1, 4, 4), (0, 0, 4, 2.5)],
hist_region2=[0, 1], hist_region3=[0, 1], hist_region4=[1],
dynamic=dynamic
)
def test_points_histogram_intersect_intersect_dynamic(self):
self.test_points_histogram_intersect_intersect(dynamic=True)
def test_points_histogram_union_intersect(self, dynamic=False):
self.do_crossfilter_points_histogram(
selection_mode="union", cross_filter_mode="intersect",
selected1=[1, 2], selected2=[1], selected3=[0, 1], selected4=[0, 1, 2],
points_region1=[(1, 1, 4, 4)],
points_region2=[(1, 1, 4, 4)],
points_region3=[(1, 1, 4, 4), (0, 0, 4, 2.5)],
points_region4=[(1, 1, 4, 4), (0, 0, 4, 2.5)],
hist_region2=[0, 1], hist_region3=[0, 1], hist_region4=[0, 1, 2],
dynamic=dynamic
)
def test_points_histogram_union_intersect_dynamic(self):
self.test_points_histogram_union_intersect(dynamic=True)
def test_points_histogram_inverse_intersect(self, dynamic=False):
self.do_crossfilter_points_histogram(
selection_mode="inverse", cross_filter_mode="intersect",
selected1=[0], selected2=[], selected3=[], selected4=[],
points_region1=[(1, 1, 4, 4)],
points_region2=[(1, 1, 4, 4)],
points_region3=[(1, 1, 4, 4), (0, 0, 4, 2.5)],
points_region4=[(1, 1, 4, 4), (0, 0, 4, 2.5)],
hist_region2=[], hist_region3=[], hist_region4=[],
dynamic=dynamic
)
def test_points_histogram_inverse_intersect_dynamic(self):
self.test_points_histogram_inverse_intersect(dynamic=True)
# Backend implementations
class TestLinkSelectionsPlotly(TestLinkSelections):
__test__ = True
def setUp(self):
try:
import holoviews.plotting.plotly # noqa: F401
except ImportError:
raise SkipTest("Plotly required to test plotly backend")
super().setUp()
self._backend = Store.current_backend
Store.set_current_backend('plotly')
def tearDown(self):
Store.current_backend = self._backend
def element_color(self, element, color_prop=None):
if isinstance(element, Table):
color = element.opts.get('style').kwargs['fill']
elif isinstance(element, (Rectangles, VSpan)):
color = element.opts.get('style').kwargs['line_color']
else:
color = element.opts.get('style').kwargs['color']
if isinstance(color, (Cycle, str)):
return color
else:
return list(color)
class TestLinkSelectionsBokeh(TestLinkSelections):
__test__ = True
def setUp(self):
import holoviews.plotting.bokeh # noqa
super().setUp()
self._backend = Store.current_backend
Store.set_current_backend('bokeh')
def tearDown(self):
Store.current_backend = self._backend
def element_color(self, element):
color = element.opts.get('style').kwargs['color']
if isinstance(color, str):
return color
else:
return list(color)
@skip("Coloring Bokeh table not yet supported")
def test_layout_selection_points_table(self):
pass
@skip("Bokeh ErrorBars selection not yet supported")
def test_overlay_points_errorbars(self):
pass
@skip("Bokeh ErrorBars selection not yet supported")
def test_overlay_points_errorbars_dynamic(self):
pass
def test_empty_layout(self):
# Test for https://github.com/holoviz/holoviews/issues/6106
df = pd.DataFrame({"x": [1, 2], "y": [1, 2], "cat": ["A", "B"]})
checkboxes = pn.widgets.CheckBoxGroup(options=['A', 'B'])
def func(check):
return hv.Scatter(df[df['cat'].isin(check)])
ls = hv.link_selections.instance()
a = ls(hv.DynamicMap(pn.bind(func, checkboxes)))
b = ls(hv.DynamicMap(pn.bind(func, checkboxes)))
hv.renderer('bokeh').get_plot(a + b)
checkboxes.value = ['A']