import numpy as np import pytest from holoviews.core import NdOverlay from holoviews.core.options import AbbreviatedException from holoviews.core.spaces import HoloMap from holoviews.element import Contours, Path, Polygons from .test_plot import TestMPLPlot, mpl_renderer class TestPathPlot(TestMPLPlot): def test_path_continuously_varying_color_op(self): xs = [1, 2, 3, 4] ys = xs[::-1] color = [998, 999, 998, 994] data = {'x': xs, 'y': ys, 'color': color} levels = [0, 38, 73, 95, 110, 130, 156, 999] colors = ['#5ebaff', '#00faf4', '#ffffcc', '#ffe775', '#ffc140', '#ff8f20', '#ff6060'] path = Path([data], vdims='color').opts( color='color', color_levels=levels, cmap=colors) plot = mpl_renderer.get_plot(path) artist = plot.handles['artist'] self.assertEqual(np.asarray(artist.get_array()), np.array(color)) self.assertEqual(artist.get_clim(), (994, 999)) def test_path_continuously_varying_alpha_op(self): xs = [1, 2, 3, 4] ys = xs[::-1] alpha = [0.1, 0.7, 0.3, 0.2] data = {'x': xs, 'y': ys, 'alpha': alpha} path = Path([data], vdims='alpha').opts(alpha='alpha') msg = 'ValueError: Mapping a dimension to the "alpha" style' with pytest.raises(AbbreviatedException, match=msg): mpl_renderer.get_plot(path) def test_path_continuously_varying_line_width_op(self): xs = [1, 2, 3, 4] ys = xs[::-1] line_width = [1, 7, 3, 2] data = {'x': xs, 'y': ys, 'line_width': line_width} path = Path([data], vdims='line_width').opts(linewidth='line_width') plot = mpl_renderer.get_plot(path) artist = plot.handles['artist'] self.assertEqual(artist.get_linewidths(), line_width) def test_path_continuously_varying_line_width_op_update(self): xs = [1, 2, 3, 4] ys = xs[::-1] path = HoloMap({ 0: Path([{'x': xs, 'y': ys, 'line_width': [1, 7, 3, 2]}], vdims='line_width'), 1: Path([{'x': xs, 'y': ys, 'line_width': [3, 8, 2, 3]}], vdims='line_width') }).opts(linewidth='line_width') plot = mpl_renderer.get_plot(path) artist = plot.handles['artist'] self.assertEqual(artist.get_linewidths(), [1, 7, 3, 2]) plot.update((1,)) self.assertEqual(artist.get_linewidths(), [3, 8, 2, 3]) class TestPolygonPlot(TestMPLPlot): def test_polygons_colored(self): polygons = NdOverlay({j: Polygons([[(i**j, i, j) for i in range(10)]], vdims='Value') for j in range(5)}) plot = mpl_renderer.get_plot(polygons) for j, splot in enumerate(plot.subplots.values()): artist = splot.handles['artist'] self.assertEqual(np.asarray(artist.get_array()), np.array([j])) self.assertEqual(artist.get_clim(), (0, 4)) def test_polygon_with_hole_plot(self): xs = [1, 2, 3] ys = [2, 0, 7] holes = [[[(1.5, 2), (2, 3), (1.6, 1.6)], [(2.1, 4.5), (2.5, 5), (2.3, 3.5)]]] poly = Polygons([{'x': xs, 'y': ys, 'holes': holes}]) plot = mpl_renderer.get_plot(poly) artist = plot.handles['artist'] paths = artist.get_paths() self.assertEqual(len(paths), 1) path = paths[0] self.assertEqual(path.vertices, np.array([ (1, 2), (2, 0), (3, 7), (1, 2), (1.5, 2), (2, 3), (1.6, 1.6), (1.5, 2), (2.1, 4.5), (2.5, 5), (2.3, 3.5), (2.1, 4.5)]) ) self.assertEqual(path.codes, np.array([1, 2, 2, 79, 1, 2, 2, 79, 1, 2, 2, 79])) def test_multi_polygon_hole_plot(self): xs = [1, 2, 3, np.nan, 3, 7, 6] ys = [2, 0, 7, np.nan, 2, 5, 7] holes = [ [[(1.5, 2), (2, 3), (1.6, 1.6)], [(2.1, 4.5), (2.5, 5), (2.3, 3.5)]], [] ] poly = Polygons([{'x': xs, 'y': ys, 'holes': holes, 'value': 1}], vdims=['value']) plot = mpl_renderer.get_plot(poly) artist = plot.handles['artist'] self.assertEqual(np.asarray(artist.get_array()), np.array([1, 1])) paths = artist.get_paths() self.assertEqual(len(paths), 2) path = paths[0] self.assertEqual(path.vertices, np.array([ (1, 2), (2, 0), (3, 7), (1, 2), (1.5, 2), (2, 3), (1.6, 1.6), (1.5, 2), (2.1, 4.5), (2.5, 5), (2.3, 3.5), (2.1, 4.5)]) ) self.assertEqual(path.codes, np.array([1, 2, 2, 79, 1, 2, 2, 79, 1, 2, 2, 79])) path2 = paths[1] self.assertEqual(path2.vertices, np.array([(3, 2), (7, 5), (6, 7), (3, 2)])) self.assertEqual(path2.codes, np.array([1, 2, 2, 79])) def test_polygons_color_op(self): polygons = Polygons([ {('x', 'y'): [(0, 0), (0, 1), (1, 0)], 'color': 'green'}, {('x', 'y'): [(1, 0), (1, 1), (0, 1)], 'color': 'red'} ], vdims='color').opts(color='color') plot = mpl_renderer.get_plot(polygons) artist = plot.handles['artist'] colors = np.array([[0. , 0.501961, 0. , 1. ], [1. , 0. , 0. , 1. ]]) self.assertEqual(artist.get_facecolors(), colors) def test_polygons_color_op_update(self): polygons = HoloMap({ 0: Polygons([ {('x', 'y'): [(0, 0), (0, 1), (1, 0)], 'color': 'green'}, {('x', 'y'): [(1, 0), (1, 1), (0, 1)], 'color': 'red'} ], vdims='color'), 1: Polygons([ {('x', 'y'): [(0, 0), (0, 1), (1, 0)], 'color': 'blue'}, {('x', 'y'): [(1, 0), (1, 1), (0, 1)], 'color': 'green'} ], vdims='color'), }).opts(color='color') plot = mpl_renderer.get_plot(polygons) artist = plot.handles['artist'] colors = np.array([[0, 0.501961, 0, 1], [1, 0, 0, 1]]) self.assertEqual(artist.get_facecolors(), colors) plot.update((1,)) colors = np.array([[0, 0, 1, 1], [0, 0.501961, 0, 1]]) self.assertEqual(artist.get_facecolors(), colors) def test_polygons_linear_color_op(self): polygons = Polygons([ {('x', 'y'): [(0, 0), (0, 1), (1, 0)], 'color': 7}, {('x', 'y'): [(1, 0), (1, 1), (0, 1)], 'color': 3} ], vdims='color').opts(color='color') plot = mpl_renderer.get_plot(polygons) artist = plot.handles['artist'] self.assertEqual(np.asarray(artist.get_array()), np.array([7, 3])) self.assertEqual(artist.get_clim(), (3, 7)) def test_polygons_linear_color_op_update(self): polygons = HoloMap({ 0: Polygons([ {('x', 'y'): [(0, 0), (0, 1), (1, 0)], 'color': 7}, {('x', 'y'): [(1, 0), (1, 1), (0, 1)], 'color': 3} ], vdims='color'), 1: Polygons([ {('x', 'y'): [(0, 0), (0, 1), (1, 0)], 'color': 2}, {('x', 'y'): [(1, 0), (1, 1), (0, 1)], 'color': 5} ], vdims='color'), }).opts(color='color', framewise=True) plot = mpl_renderer.get_plot(polygons) artist = plot.handles['artist'] self.assertEqual(np.asarray(artist.get_array()), np.array([7, 3])) self.assertEqual(artist.get_clim(), (3, 7)) plot.update((1,)) self.assertEqual(np.asarray(artist.get_array()), np.array([2, 5])) self.assertEqual(artist.get_clim(), (2, 5)) 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').opts(color='color') plot = mpl_renderer.get_plot(polygons) artist = plot.handles['artist'] self.assertEqual(np.asarray(artist.get_array()), np.array([0, 1])) self.assertEqual(artist.get_clim(), (0, 1)) def test_polygons_alpha_op(self): polygons = Polygons([ {('x', 'y'): [(0, 0), (0, 1), (1, 0)], 'alpha': 0.7}, {('x', 'y'): [(1, 0), (1, 1), (0, 1)], 'alpha': 0.3} ], vdims='alpha').opts(alpha='alpha') msg = 'ValueError: Mapping a dimension to the "alpha" style' with pytest.raises(AbbreviatedException, match=msg): mpl_renderer.get_plot(polygons) def test_polygons_line_width_op(self): polygons = Polygons([ {('x', 'y'): [(0, 0), (0, 1), (1, 0)], 'line_width': 7}, {('x', 'y'): [(1, 0), (1, 1), (0, 1)], 'line_width': 3} ], vdims='line_width').opts(linewidth='line_width') plot = mpl_renderer.get_plot(polygons) artist = plot.handles['artist'] self.assertEqual(artist.get_linewidths(), [7, 3]) class TestContoursPlot(TestMPLPlot): def test_contours_categorical_color(self): path = Contours([{('x', 'y'): np.random.rand(10, 2), 'z': cat} for cat in ('B', 'A', 'B')], vdims='z').opts(color_index='z') plot = mpl_renderer.get_plot(path) artist = plot.handles['artist'] self.assertEqual(np.asarray(artist.get_array()), np.array([0, 1, 0])) self.assertEqual(artist.get_clim(), (0, 1)) def test_contours_color_op(self): contours = Contours([ {('x', 'y'): [(0, 0), (0, 1), (1, 0)], 'color': 'green'}, {('x', 'y'): [(1, 0), (1, 1), (0, 1)], 'color': 'red'} ], vdims='color').opts(color='color') plot = mpl_renderer.get_plot(contours) artist = plot.handles['artist'] colors = np.array([[0. , 0.501961, 0. , 1. ], [1. , 0. , 0. , 1. ]]) self.assertEqual(artist.get_edgecolors(), colors) def test_contours_color_op_update(self): contours = HoloMap({ 0: Contours([ {('x', 'y'): [(0, 0), (0, 1), (1, 0)], 'color': 'green'}, {('x', 'y'): [(1, 0), (1, 1), (0, 1)], 'color': 'red'} ], vdims='color'), 1: Contours([ {('x', 'y'): [(0, 0), (0, 1), (1, 0)], 'color': 'blue'}, {('x', 'y'): [(1, 0), (1, 1), (0, 1)], 'color': 'green'} ], vdims='color'), }).opts(color='color') plot = mpl_renderer.get_plot(contours) artist = plot.handles['artist'] colors = np.array([[0, 0.501961, 0, 1], [1, 0, 0, 1]]) self.assertEqual(artist.get_edgecolors(), colors) plot.update((1,)) colors = np.array([[0, 0, 1, 1], [0, 0.501961, 0, 1]]) self.assertEqual(artist.get_edgecolors(), colors) def test_contours_linear_color_op(self): contours = Contours([ {('x', 'y'): [(0, 0), (0, 1), (1, 0)], 'color': 7}, {('x', 'y'): [(1, 0), (1, 1), (0, 1)], 'color': 3} ], vdims='color').opts(color='color') plot = mpl_renderer.get_plot(contours) artist = plot.handles['artist'] self.assertEqual(np.asarray(artist.get_array()), np.array([7, 3])) self.assertEqual(artist.get_clim(), (3, 7)) def test_contours_linear_color_op_update(self): contours = HoloMap({ 0: Contours([ {('x', 'y'): [(0, 0), (0, 1), (1, 0)], 'color': 7}, {('x', 'y'): [(1, 0), (1, 1), (0, 1)], 'color': 3} ], vdims='color'), 1: Contours([ {('x', 'y'): [(0, 0), (0, 1), (1, 0)], 'color': 2}, {('x', 'y'): [(1, 0), (1, 1), (0, 1)], 'color': 5} ], vdims='color'), }).opts(color='color', framewise=True) plot = mpl_renderer.get_plot(contours) artist = plot.handles['artist'] self.assertEqual(np.asarray(artist.get_array()), np.array([7, 3])) self.assertEqual(artist.get_clim(), (3, 7)) plot.update((1,)) self.assertEqual(np.asarray(artist.get_array()), np.array([2, 5])) self.assertEqual(artist.get_clim(), (2, 5)) 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').opts(color='color') plot = mpl_renderer.get_plot(contours) artist = plot.handles['artist'] self.assertEqual(np.asarray(artist.get_array()), np.array([0, 1])) self.assertEqual(artist.get_clim(), (0, 1)) def test_contours_alpha_op(self): contours = Contours([ {('x', 'y'): [(0, 0), (0, 1), (1, 0)], 'alpha': 0.7}, {('x', 'y'): [(1, 0), (1, 1), (0, 1)], 'alpha': 0.3} ], vdims='alpha').opts(alpha='alpha') msg = 'ValueError: Mapping a dimension to the "alpha" style' with pytest.raises(AbbreviatedException, match=msg): mpl_renderer.get_plot(contours) def test_contours_line_width_op(self): contours = Contours([ {('x', 'y'): [(0, 0), (0, 1), (1, 0)], 'line_width': 7}, {('x', 'y'): [(1, 0), (1, 1), (0, 1)], 'line_width': 3} ], vdims='line_width').opts(linewidth='line_width') plot = mpl_renderer.get_plot(contours) artist = plot.handles['artist'] self.assertEqual(artist.get_linewidths(), [7, 3]) def test_contours_line_width_op_update(self): contours = HoloMap({ 0: Contours([ {('x', 'y'): [(0, 0), (0, 1), (1, 0)], 'line_width': 7}, {('x', 'y'): [(1, 0), (1, 1), (0, 1)], 'line_width': 3} ], vdims='line_width'), 1: Contours([ {('x', 'y'): [(0, 0), (0, 1), (1, 0)], 'line_width': 2}, {('x', 'y'): [(1, 0), (1, 1), (0, 1)], 'line_width': 5} ], vdims='line_width'), }).opts(linewidth='line_width', framewise=True) plot = mpl_renderer.get_plot(contours) artist = plot.handles['artist'] self.assertEqual(artist.get_linewidths(), [7, 3]) plot.update((1,)) self.assertEqual(artist.get_linewidths(), [2, 5])