def test_label_categorical_color_op(self):
labels = Labels([(0, 0, 'A'), (0, 1, 'B'), (0, 2, 'A')],
vdims='color').options(color='color', cmap='tab10')
plot = mpl_renderer.get_plot(labels)
artist = plot.handles['artist']
self.assertEqual([rgb2hex(a.get_color()) for a in artist],
['#1f77b4', '#ff7f0e', '#1f77b4'])
def test_label_linear_color_op(self):
labels = Labels([(0, 0, 0), (0, 1, 1), (0, 2, 2)],
vdims='color').options(color='color')
plot = mpl_renderer.get_plot(labels)
artist = plot.handles['artist']
self.assertEqual([rgb2hex(a.get_color()) for a in artist],
['#440154', '#20908c', '#fde724'])
def test_cyclic_palette_curves(self):
palette = Palette('Set1')
opts = dict(color=palette)
hmap = HoloMap({i: NdOverlay({j: Curve(np.random.rand(3)).opts(style=opts)
for j in range(3)})
for i in range(3)})
colors = palette[3].values
plot = bokeh_renderer.get_plot(hmap)
for subp, color in zip(plot.subplots.values(), colors):
color = color if isinstance(color, basestring) else rgb2hex(color)
self.assertEqual(subp.handles['glyph'].line_color, color)
def test_cyclic_palette_curves(self):
palette = Palette('Set1')
opts = dict(color=palette)
hmap = HoloMap({i: NdOverlay({j: Curve(np.random.rand(3)).opts(style=opts)
for j in range(3)})
for i in range(3)})
colors = palette[3].values
plot = bokeh_renderer.get_plot(hmap)
for subp, color in zip(plot.subplots.values(), colors):
color = color if isinstance(color, basestring) else rgb2hex(color)
self.assertEqual(subp.handles['glyph'].line_color, color)