import numpy as np from bokeh.models import CategoricalColorMapper, LinearColorMapper from holoviews.core.dimension import Dimension from holoviews.core.options import Cycle from holoviews.core.spaces import HoloMap from holoviews.element import Labels from holoviews.plotting.bokeh.util import property_to_dict from ..utils import ParamLogStream from .test_plot import TestBokehPlot, bokeh_renderer class TestLabelsPlot(TestBokehPlot): def test_labels_simple(self): labels = Labels([(0, 1, 'A'), (1, 0, 'B')]) plot = bokeh_renderer.get_plot(labels) source = plot.handles['source'] glyph = plot.handles['glyph'] expected = {'x': np.array([0, 1]), 'y': np.array([1, 0]), 'Label': ['A', 'B']} for k, vals in expected.items(): self.assertEqual(source.data[k], vals) self.assertEqual(glyph.x, 'x') self.assertEqual(glyph.y, 'y') self.assertEqual(glyph.text, 'Label') def test_labels_empty(self): labels = Labels([]) plot = bokeh_renderer.get_plot(labels) source = plot.handles['source'] glyph = plot.handles['glyph'] expected = {'x': np.array([]), 'y': np.array([]), 'Label': []} for k, vals in expected.items(): self.assertEqual(source.data[k], vals) self.assertEqual(glyph.x, 'x') self.assertEqual(glyph.y, 'y') self.assertEqual(glyph.text, 'Label') def test_labels_formatter(self): vdim = Dimension('text', value_format=lambda x: f'{x:.1f}') labels = Labels([(0, 1, 0.33333), (1, 0, 0.66666)], vdims=vdim) plot = bokeh_renderer.get_plot(labels) source = plot.handles['source'] glyph = plot.handles['glyph'] expected = {'x': np.array([0, 1]), 'y': np.array([1, 0]), 'text': ['0.3', '0.7']} for k, vals in expected.items(): self.assertEqual(source.data[k], vals) self.assertEqual(glyph.x, 'x') self.assertEqual(glyph.y, 'y') self.assertEqual(glyph.text, 'text') def test_labels_inverted(self): labels = Labels([(0, 1, 'A'), (1, 0, 'B')]).opts(invert_axes=True) plot = bokeh_renderer.get_plot(labels) source = plot.handles['source'] glyph = plot.handles['glyph'] expected = {'x': np.array([0, 1]), 'y': np.array([1, 0]), 'Label': ['A', 'B']} for k, vals in expected.items(): self.assertEqual(source.data[k], vals) self.assertEqual(glyph.x, 'y') self.assertEqual(glyph.y, 'x') self.assertEqual(glyph.text, 'Label') def test_labels_color_mapped_text_vals(self): labels = Labels([(0, 1, 0.33333), (1, 0, 0.66666)]).opts(color_index=2) plot = bokeh_renderer.get_plot(labels) source = plot.handles['source'] glyph = plot.handles['glyph'] cmapper = plot.handles['color_mapper'] expected = {'x': np.array([0, 1]), 'y': np.array([1, 0]), 'Label': ['0.33333', '0.66666'], 'text_color': np.array([0.33333, 0.66666])} for k, vals in expected.items(): self.assertEqual(source.data[k], vals) self.assertEqual(glyph.x, 'x') self.assertEqual(glyph.y, 'y') self.assertEqual(glyph.text, 'Label') self.assertEqual(property_to_dict(glyph.text_color), {'field': 'text_color', 'transform': cmapper}) self.assertEqual(cmapper.low, 0.33333) self.assertEqual(cmapper.high, 0.66666) def test_labels_color_mapped(self): labels = Labels([(0, 1, 0.33333, 2), (1, 0, 0.66666, 1)], vdims=['text', 'color']).opts(color_index=3) plot = bokeh_renderer.get_plot(labels) source = plot.handles['source'] glyph = plot.handles['glyph'] cmapper = plot.handles['color_mapper'] expected = {'x': np.array([0, 1]), 'y': np.array([1, 0]), 'text': ['0.33333', '0.66666'], 'color': np.array([2, 1])} for k, vals in expected.items(): self.assertEqual(source.data[k], vals) self.assertEqual(glyph.x, 'x') self.assertEqual(glyph.y, 'y') self.assertEqual(glyph.text, 'text') self.assertEqual(property_to_dict(glyph.text_color), {'field': 'color', 'transform': cmapper}) self.assertEqual(cmapper.low, 1) self.assertEqual(cmapper.high, 2) ########################### # Styling mapping # ########################### def test_label_color_op(self): labels = Labels([(0, 0, '#000'), (0, 1, '#F00'), (0, 2, '#0F0')], vdims='color').opts(text_color='color') plot = bokeh_renderer.get_plot(labels) cds = plot.handles['cds'] glyph = plot.handles['glyph'] self.assertEqual(cds.data['text_color'], np.array(['#000', '#F00', '#0F0'])) self.assertEqual(property_to_dict(glyph.text_color), {'field': 'text_color'}) def test_label_linear_color_op(self): labels = Labels([(0, 0, 0), (0, 1, 1), (0, 2, 2)], vdims='color').opts(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, LinearColorMapper) self.assertEqual(cmapper.low, 0) self.assertEqual(cmapper.high, 2) self.assertEqual(cds.data['text_color'], np.array([0, 1, 2])) self.assertEqual(property_to_dict(glyph.text_color), {'field': 'text_color', 'transform': cmapper}) def test_label_categorical_color_op(self): labels = Labels([(0, 0, 'A'), (0, 1, 'B'), (0, 2, 'C')], vdims='color').opts(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(property_to_dict(glyph.text_color), {'field': 'text_color', 'transform': cmapper}) def test_label_angle_op(self): labels = Labels([(0, 0, 0), (0, 1, 45), (0, 2, 90)], vdims='angle').opts(angle='angle') plot = bokeh_renderer.get_plot(labels) cds = plot.handles['cds'] glyph = plot.handles['glyph'] self.assertEqual(cds.data['angle'], np.array([0, 0.785398, 1.570796])) self.assertEqual(property_to_dict(glyph.angle), {'field': 'angle'}) def test_label_alpha_op(self): labels = Labels([(0, 0, 0), (0, 1, 0.2), (0, 2, 0.7)], vdims='alpha').opts(text_alpha='alpha') plot = bokeh_renderer.get_plot(labels) cds = plot.handles['cds'] glyph = plot.handles['glyph'] self.assertEqual(cds.data['text_alpha'], np.array([0, 0.2, 0.7])) self.assertEqual(property_to_dict(glyph.text_alpha), {'field': 'text_alpha'}) def test_label_font_size_op_strings(self): labels = Labels([(0, 0, '10pt'), (0, 1, '4pt'), (0, 2, '8pt')], vdims='size').opts(text_font_size='size') plot = bokeh_renderer.get_plot(labels) cds = plot.handles['cds'] glyph = plot.handles['glyph'] self.assertEqual(cds.data['text_font_size'], np.array(['10pt', '4pt', '8pt'])) self.assertEqual(property_to_dict(glyph.text_font_size), {'field': 'text_font_size'}) def test_label_font_size_op_ints(self): labels = Labels([(0, 0, 10), (0, 1, 4), (0, 2, 8)], vdims='size').opts(text_font_size='size') plot = bokeh_renderer.get_plot(labels) cds = plot.handles['cds'] glyph = plot.handles['glyph'] self.assertEqual(cds.data['text_font_size'], ['10pt', '4pt', '8pt']) self.assertEqual(property_to_dict(glyph.text_font_size), {'field': 'text_font_size'}) def test_labels_color_index_color_clash(self): labels = Labels([(0, 0, 0), (0, 1, 1), (0, 2, 2)], vdims='color').opts(text_color='color', color_index='color') with ParamLogStream() as log: bokeh_renderer.get_plot(labels) log_msg = log.stream.read() warning = ( "The `color_index` parameter is deprecated in favor of color style mapping, " "e.g. `color=dim('color')` or `line_color=dim('color')`\nCannot declare style " "mapping for 'text_color' option and declare a color_index; ignoring the " "color_index.\n" ) self.assertEqual(log_msg, warning) def test_labels_text_color_cycle(self): hm = HoloMap( {i: Labels([ (0, 0 + i, "Label 1"), (1, 1 + i, "Label 2") ]) for i in range(3)} ).overlay() assert isinstance(hm[0].opts["text_color"], Cycle)