import numpy as np import pytest from holoviews.core.options import AbbreviatedException from holoviews.core.overlay import NdOverlay from holoviews.core.spaces import HoloMap from holoviews.element import Spikes from ..utils import ParamLogStream from .test_plot import TestMPLPlot, mpl_renderer class TestSpikesPlot(TestMPLPlot): def test_spikes_padding_square(self): spikes = Spikes([1, 2, 3]).opts(padding=0.1) plot = mpl_renderer.get_plot(spikes) x_range = plot.handles['axis'].get_xlim() self.assertEqual(x_range[0], 0.8) self.assertEqual(x_range[1], 3.2) def test_spikes_padding_square_heights(self): spikes = Spikes([(1, 1), (2, 2), (3, 3)], vdims=['Height']).opts(padding=0.1) plot = mpl_renderer.get_plot(spikes) x_range, y_range = plot.handles['axis'].get_xlim(), plot.handles['axis'].get_ylim() self.assertEqual(x_range[0], 0.8) self.assertEqual(x_range[1], 3.2) self.assertEqual(y_range[0], 0) self.assertEqual(y_range[1], 3.2) def test_spikes_padding_hard_xrange(self): spikes = Spikes([1, 2, 3]).redim.range(x=(0, 3)).opts(padding=0.1) plot = mpl_renderer.get_plot(spikes) x_range = plot.handles['axis'].get_xlim() self.assertEqual(x_range[0], 0) self.assertEqual(x_range[1], 3) def test_spikes_padding_soft_xrange(self): spikes = Spikes([1, 2, 3]).redim.soft_range(x=(0, 3)).opts(padding=0.1) plot = mpl_renderer.get_plot(spikes) x_range = plot.handles['axis'].get_xlim() self.assertEqual(x_range[0], 0) self.assertEqual(x_range[1], 3) def test_spikes_padding_unequal(self): spikes = Spikes([1, 2, 3]).opts(padding=(0.05, 0.1)) plot = mpl_renderer.get_plot(spikes) x_range = plot.handles['axis'].get_xlim() self.assertEqual(x_range[0], 0.9) self.assertEqual(x_range[1], 3.1) def test_spikes_padding_nonsquare(self): spikes = Spikes([1, 2, 3]).opts(padding=0.1, aspect=2) plot = mpl_renderer.get_plot(spikes) x_range = plot.handles['axis'].get_xlim() self.assertEqual(x_range[0], 0.9) self.assertEqual(x_range[1], 3.1) def test_spikes_padding_logx(self): spikes = Spikes([(1, 1), (2, 2), (3,3)]).opts(padding=0.1, logx=True) plot = mpl_renderer.get_plot(spikes) x_range = plot.handles['axis'].get_xlim() self.assertEqual(x_range[0], 0.89595845984076228) self.assertEqual(x_range[1], 3.3483695221017129) def test_spikes_padding_datetime_square(self): spikes = Spikes([np.datetime64('2016-04-0%d' % i) for i in range(1, 4)]).opts( padding=0.1 ) plot = mpl_renderer.get_plot(spikes) x_range = plot.handles['axis'].get_xlim() self.assertEqual(x_range[0], 16891.8) self.assertEqual(x_range[1], 16894.2) def test_spikes_padding_datetime_square_heights(self): spikes = Spikes([(np.datetime64('2016-04-0%d' % i), i) for i in range(1, 4)], vdims=['Height']).opts( padding=0.1 ) plot = mpl_renderer.get_plot(spikes) x_range, y_range = plot.handles['axis'].get_xlim(), plot.handles['axis'].get_ylim() self.assertEqual(x_range[0], 16891.8) self.assertEqual(x_range[1], 16894.2) self.assertEqual(y_range[0], 0) self.assertEqual(y_range[1], 3.2) def test_spikes_padding_datetime_nonsquare(self): spikes = Spikes([np.datetime64('2016-04-0%d' % i) for i in range(1, 4)]).opts( padding=0.1, aspect=2 ) plot = mpl_renderer.get_plot(spikes) x_range = plot.handles['axis'].get_xlim() self.assertEqual(x_range[0], 16891.9) self.assertEqual(x_range[1], 16894.1) ########################### # Styling mapping # ########################### def test_spikes_color_op(self): spikes = Spikes([(0, 0, '#000000'), (0, 1, '#FF0000'), (0, 2, '#00FF00')], vdims=['y', 'color']).opts(color='color') plot = mpl_renderer.get_plot(spikes) artist = plot.handles['artist'] self.assertEqual(artist.get_edgecolors(), np.array([ [0, 0, 0, 1], [1, 0, 0, 1], [0, 1, 0, 1]] )) def test_spikes_color_op_update(self): spikes = HoloMap({ 0: Spikes([(0, 0, '#000000'), (0, 1, '#FF0000'), (0, 2, '#00FF00')], vdims=['y', 'color']), 1: Spikes([(0, 0, '#FF0000'), (0, 1, '#00FF00'), (0, 2, '#0000FF')], vdims=['y', 'color'])}).opts(color='color') plot = mpl_renderer.get_plot(spikes) artist = plot.handles['artist'] self.assertEqual(artist.get_edgecolors(), np.array([ [0, 0, 0, 1], [1, 0, 0, 1], [0, 1, 0, 1]] )) plot.update((1,)) self.assertEqual(artist.get_edgecolors(), np.array([ [1, 0, 0, 1], [0, 1, 0, 1], [0, 0, 1, 1]] )) def test_spikes_linear_color_op(self): spikes = Spikes([(0, 0, 0), (0, 1, 1), (0, 2, 2)], vdims=['y', 'color']).opts(color='color') plot = mpl_renderer.get_plot(spikes) artist = plot.handles['artist'] self.assertEqual(np.asarray(artist.get_array()), np.array([0, 1, 2])) self.assertEqual(artist.get_clim(), (0, 2)) def test_spikes_linear_color_op_update(self): spikes = HoloMap({ 0: Spikes([(0, 0, 0.5), (0, 1, 3.2), (0, 2, 1.8)], vdims=['y', 'color']), 1: Spikes([(0, 0, 0.1), (0, 1, 0.8), (0, 2, 0.3)], vdims=['y', 'color'])}).opts(color='color', framewise=True) plot = mpl_renderer.get_plot(spikes) artist = plot.handles['artist'] self.assertEqual(np.asarray(artist.get_array()), np.array([0.5, 3.2, 1.8])) self.assertEqual(artist.get_clim(), (0.5, 3.2)) plot.update((1,)) self.assertEqual(np.asarray(artist.get_array()), np.array([0.1, 0.8, 0.3])) self.assertEqual(artist.get_clim(), (0.1, 0.8)) def test_spikes_categorical_color_op(self): spikes = Spikes([(0, 0, 'A'), (0, 1, 'B'), (0, 2, 'A')], vdims=['y', 'color']).opts(color='color') plot = mpl_renderer.get_plot(spikes) 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_spikes_alpha_op(self): spikes = Spikes([(0, 0, 0), (0, 1, 0.2), (0, 2, 0.7)], vdims=['y', 'alpha']).opts(alpha='alpha') msg = 'ValueError: Mapping a dimension to the "alpha" style' with pytest.raises(AbbreviatedException, match=msg): mpl_renderer.get_plot(spikes) def test_spikes_line_width_op(self): spikes = Spikes([(0, 0, 1), (0, 1, 4), (0, 2, 8)], vdims=['y', 'line_width']).opts(linewidth='line_width') plot = mpl_renderer.get_plot(spikes) artist = plot.handles['artist'] self.assertEqual(artist.get_linewidths(), [1, 4, 8]) def test_spikes_line_width_op_update(self): spikes = HoloMap({ 0: Spikes([(0, 0, 0.5), (0, 1, 3.2), (0, 2, 1.8)], vdims=['y', 'line_width']), 1: Spikes([(0, 0, 0.1), (0, 1, 0.8), (0, 2, 0.3)], vdims=['y', 'line_width'])}).opts(linewidth='line_width') plot = mpl_renderer.get_plot(spikes) artist = plot.handles['artist'] self.assertEqual(artist.get_linewidths(), [0.5, 3.2, 1.8]) plot.update((1,)) self.assertEqual(artist.get_linewidths(), [0.1, 0.8, 0.3]) def test_op_ndoverlay_value(self): colors = ['blue', 'red'] overlay = NdOverlay({color: Spikes(np.arange(i+2)) for i, color in enumerate(colors)}, 'Color').opts( 'Spikes', color='Color' ) plot = mpl_renderer.get_plot(overlay) colors = [(0, 0, 1, 1), (1, 0, 0, 1)] for subplot, color in zip(plot.subplots.values(), colors): children = subplot.handles['artist'].get_children() for c in children: self.assertEqual(c.get_facecolor(), color) def test_spikes_color_index_color_clash(self): spikes = Spikes([(0, 0, 0), (0, 1, 1), (0, 2, 2)], vdims=['y', 'color']).opts(color='color', color_index='color') with ParamLogStream() as log: mpl_renderer.get_plot(spikes) 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 'color' option and declare a color_index; ignoring the color_index.\n" ) self.assertEqual(log_msg, warning)