本文整理汇总了Python中bokeh.models.CategoricalColorMapper方法的典型用法代码示例。如果您正苦于以下问题：Python models.CategoricalColorMapper方法的具体用法？Python models.CategoricalColorMapper怎么用？Python models.CategoricalColorMapper使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类bokeh.models的用法示例。
在下文中一共展示了models.CategoricalColorMapper方法的13个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_spikes_categorical_color_op
# 需要导入模块: from bokeh import models [as 别名]
# 或者: from bokeh.models import CategoricalColorMapper [as 别名]
def test_spikes_categorical_color_op(self):
spikes = Spikes([(0, 0, 'A'), (0, 1, 'B'), (0, 2, 'C')],
vdims=['y', 'color']).options(color='color')
plot = bokeh_renderer.get_plot(spikes)
cds = plot.handles['cds']
glyph = plot.handles['glyph']
cmapper = plot.handles['color_color_mapper']
self.assertTrue(cmapper, CategoricalColorMapper)
self.assertEqual(cmapper.factors, ['A', 'B', 'C'])
self.assertEqual(cds.data['color'], np.array(['A', 'B', 'C']))
self.assertEqual(glyph.line_color, {'field': 'color', 'transform': cmapper}) 示例2: test_errorbars_categorical_color_op
# 需要导入模块: from bokeh import models [as 别名]
# 或者: from bokeh.models import CategoricalColorMapper [as 别名]
def test_errorbars_categorical_color_op(self):
errorbars = ErrorBars([(0, 0, 0.1, 0.2, 'A'), (0, 1, 0.2, 0.4, 'B'), (0, 2, 0.6, 1.2, 'C')],
vdims=['y', 'perr', 'nerr', 'color']).options(color='color')
plot = bokeh_renderer.get_plot(errorbars)
cds = plot.handles['cds']
glyph = plot.handles['glyph']
cmapper = plot.handles['color_color_mapper']
self.assertTrue(cmapper, CategoricalColorMapper)
self.assertEqual(cmapper.factors, ['A', 'B', 'C'])
self.assertEqual(cds.data['color'], np.array(['A', 'B', 'C']))
self.assertEqual(glyph.line_color, {'field': 'color', 'transform': cmapper}) 示例3: test_box_whisker_categorical_color_op
# 需要导入模块: from bokeh import models [as 别名]
# 或者: from bokeh.models import CategoricalColorMapper [as 别名]
def test_box_whisker_categorical_color_op(self):
a = np.repeat(np.arange(5), 5)
b = np.repeat(['A', 'B', 'C', 'D', 'E'], 5)
box = BoxWhisker((a, b, np.arange(25)), ['a', 'b'], 'd').options(box_color='b')
plot = bokeh_renderer.get_plot(box)
source = plot.handles['vbar_1_source']
glyph = plot.handles['vbar_1_glyph']
cmapper = plot.handles['box_color_color_mapper']
self.assertEqual(source.data['box_color'], b[::5])
self.assertTrue(cmapper, CategoricalColorMapper)
self.assertEqual(cmapper.factors, ['A', 'B', 'C', 'D', 'E'])
self.assertEqual(glyph.fill_color, {'field': 'box_color', 'transform': cmapper}) 示例4: test_vectorfield_categorical_color_op
# 需要导入模块: from bokeh import models [as 别名]
# 或者: from bokeh.models import CategoricalColorMapper [as 别名]
def test_vectorfield_categorical_color_op(self):
vectorfield = VectorField([(0, 0, 0, 1, 'A'), (0, 1, 0, 1, 'B'), (0, 2, 0, 1, 'C')],
vdims=['A', 'M', 'color']).options(color='color')
plot = bokeh_renderer.get_plot(vectorfield)
cds = plot.handles['cds']
glyph = plot.handles['glyph']
cmapper = plot.handles['color_color_mapper']
self.assertTrue(cmapper, CategoricalColorMapper)
self.assertEqual(cmapper.factors, ['A', 'B', 'C'])
self.assertEqual(cds.data['color'], np.array(['A', 'B', 'C', 'A', 'B', 'C', 'A', 'B', 'C']))
self.assertEqual(glyph.line_color, {'field': 'color', 'transform': cmapper}) 示例5: test_violin_categorical_color_op
# 需要导入模块: from bokeh import models [as 别名]
# 或者: from bokeh.models import CategoricalColorMapper [as 别名]
def test_violin_categorical_color_op(self):
a = np.repeat(np.arange(5), 5)
b = np.repeat(['A', 'B', 'C', 'D', 'E'], 5)
violin = Violin((a, b, np.arange(25)), ['a', 'b'], 'd').options(violin_color='b')
plot = bokeh_renderer.get_plot(violin)
source = plot.handles['patches_1_source']
glyph = plot.handles['patches_1_glyph']
cmapper = plot.handles['violin_color_color_mapper']
self.assertEqual(source.data['violin_color'], b[::5])
self.assertTrue(cmapper, CategoricalColorMapper)
self.assertEqual(cmapper.factors, ['A', 'B', 'C', 'D', 'E'])
self.assertEqual(glyph.fill_color, {'field': 'violin_color', 'transform': cmapper}) 示例6: test_points_colormapping_categorical
# 需要导入模块: from bokeh import models [as 别名]
# 或者: from bokeh.models import CategoricalColorMapper [as 别名]
def test_points_colormapping_categorical(self):
points = Points([(i, i*2, i*3, chr(65+i)) for i in range(10)],
vdims=['a', 'b']).opts(plot=dict(color_index='b'))
plot = bokeh_renderer.get_plot(points)
plot.initialize_plot()
cmapper = plot.handles['color_mapper']
self.assertIsInstance(cmapper, CategoricalColorMapper)
self.assertEqual(cmapper.factors, list(points['b'])) 示例7: test_point_categorical_color_op
# 需要导入模块: from bokeh import models [as 别名]
# 或者: from bokeh.models import CategoricalColorMapper [as 别名]
def test_point_categorical_color_op(self):
points = Points([(0, 0, 'A'), (0, 1, 'B'), (0, 2, 'C')],
vdims='color').options(color='color')
plot = bokeh_renderer.get_plot(points)
cds = plot.handles['cds']
glyph = plot.handles['glyph']
cmapper = plot.handles['color_color_mapper']
self.assertTrue(cmapper, CategoricalColorMapper)
self.assertEqual(cmapper.factors, ['A', 'B', 'C'])
self.assertEqual(cds.data['color'], np.array(['A', 'B', 'C']))
self.assertEqual(glyph.fill_color, {'field': 'color', 'transform': cmapper})
self.assertEqual(glyph.line_color, {'field': 'color', 'transform': cmapper}) 示例8: test_point_categorical_dtype_color_op
# 需要导入模块: from bokeh import models [as 别名]
# 或者: from bokeh.models import CategoricalColorMapper [as 别名]
def test_point_categorical_dtype_color_op(self):
df = pd.DataFrame(dict(sample_id=['subject 1', 'subject 2', 'subject 3', 'subject 4'], category=['apple', 'pear', 'apple', 'pear'], value=[1, 2, 3, 4]))
df['category'] = df['category'].astype('category')
points = Points(df, ['sample_id', 'value']).opts(color='category')
plot = bokeh_renderer.get_plot(points)
cds = plot.handles['cds']
glyph = plot.handles['glyph']
cmapper = plot.handles['color_color_mapper']
self.assertTrue(cmapper, CategoricalColorMapper)
self.assertEqual(cmapper.factors, ['apple', 'pear'])
self.assertEqual(np.asarray(cds.data['color']), np.array(['apple', 'pear', 'apple', 'pear']))
self.assertEqual(glyph.fill_color, {'field': 'color', 'transform': cmapper})
self.assertEqual(glyph.line_color, {'field': 'color', 'transform': cmapper}) 示例9: test_point_explicit_cmap_color_op
# 需要导入模块: from bokeh import models [as 别名]
# 或者: from bokeh.models import CategoricalColorMapper [as 别名]
def test_point_explicit_cmap_color_op(self):
points = Points([(0, 0), (0, 1), (0, 2)]).options(
color='y', cmap={0: 'red', 1: 'green', 2: 'blue'})
plot = bokeh_renderer.get_plot(points)
cds = plot.handles['cds']
glyph = plot.handles['glyph']
cmapper = plot.handles['color_color_mapper']
self.assertTrue(cmapper, CategoricalColorMapper)
self.assertEqual(cmapper.factors, ['0', '1', '2'])
self.assertEqual(cmapper.palette, ['red', 'green', 'blue'])
self.assertEqual(cds.data['color_str__'], ['0', '1', '2'])
self.assertEqual(glyph.fill_color, {'field': 'color_str__', 'transform': cmapper})
self.assertEqual(glyph.line_color, {'field': 'color_str__', 'transform': cmapper}) 示例10: test_label_categorical_color_op
# 需要导入模块: from bokeh import models [as 别名]
# 或者: from bokeh.models import CategoricalColorMapper [as 别名]
def test_label_categorical_color_op(self):
labels = Labels([(0, 0, 'A'), (0, 1, 'B'), (0, 2, 'C')],
vdims='color').options(text_color='color')
plot = bokeh_renderer.get_plot(labels)
cds = plot.handles['cds']
glyph = plot.handles['glyph']
cmapper = plot.handles['text_color_color_mapper']
self.assertTrue(cmapper, CategoricalColorMapper)
self.assertEqual(cmapper.factors, ['A', 'B', 'C'])
self.assertEqual(cds.data['text_color'], np.array(['A', 'B', 'C']))
self.assertEqual(glyph.text_color, {'field': 'text_color', 'transform': cmapper}) 示例11: test_histogram_categorical_color_op
# 需要导入模块: from bokeh import models [as 别名]
# 或者: from bokeh.models import CategoricalColorMapper [as 别名]
def test_histogram_categorical_color_op(self):
histogram = Histogram([(0, 0, 'A'), (0, 1, 'B'), (0, 2, 'C')],
vdims=['y', 'color']).options(color='color')
plot = bokeh_renderer.get_plot(histogram)
cds = plot.handles['cds']
glyph = plot.handles['glyph']
cmapper = plot.handles['color_color_mapper']
self.assertTrue(cmapper, CategoricalColorMapper)
self.assertEqual(cmapper.factors, ['A', 'B', 'C'])
self.assertEqual(cds.data['color'], np.array(['A', 'B', 'C']))
self.assertEqual(glyph.fill_color, {'field': 'color', 'transform': cmapper})
self.assertEqual(glyph.line_color, 'black') 示例12: test_polygons_categorical_color_op
# 需要导入模块: from bokeh import models [as 别名]
# 或者: from bokeh.models import CategoricalColorMapper [as 别名]
def test_polygons_categorical_color_op(self):
polygons = Polygons([
{('x', 'y'): [(0, 0), (0, 1), (1, 0)], 'color': 'b'},
{('x', 'y'): [(1, 0), (1, 1), (0, 1)], 'color': 'a'}
], vdims='color').options(color='color')
plot = bokeh_renderer.get_plot(polygons)
cds = plot.handles['source']
glyph = plot.handles['glyph']
cmapper = plot.handles['color_color_mapper']
self.assertEqual(glyph.line_color, 'black')
self.assertEqual(glyph.fill_color, {'field': 'color', 'transform': cmapper})
self.assertEqual(cds.data['color'], np.array(['b', 'a']))
self.assertIsInstance(cmapper, CategoricalColorMapper)
self.assertEqual(cmapper.factors, ['b', 'a']) 示例13: test_contours_categorical_color_op
# 需要导入模块: from bokeh import models [as 别名]
# 或者: from bokeh.models import CategoricalColorMapper [as 别名]
def test_contours_categorical_color_op(self):
contours = Contours([
{('x', 'y'): [(0, 0), (0, 1), (1, 0)], 'color': 'b'},
{('x', 'y'): [(1, 0), (1, 1), (0, 1)], 'color': 'a'}
], vdims='color').options(color='color')
plot = bokeh_renderer.get_plot(contours)
cds = plot.handles['source']
glyph = plot.handles['glyph']
cmapper = plot.handles['color_color_mapper']
self.assertEqual(glyph.line_color, {'field': 'color', 'transform': cmapper})
self.assertEqual(cds.data['color'], np.array(['b', 'a']))
self.assertIsInstance(cmapper, CategoricalColorMapper)
self.assertEqual(cmapper.factors, ['b', 'a'])