def test_violin_simple(self):
values = np.random.rand(100)
violin = Violin(values).opts(plot=dict(violin_width=0.7))
qmin, q1, q2, q3, qmax = (np.percentile(values, q=q)
for q in range(0, 125, 25))
iqr = q3 - q1
upper = min(q3 + 1.5 * iqr, np.nanmax(values))
lower = max(q1 - 1.5 * iqr, np.nanmin(values))
r1, r2 = violin.range(0)
kde = univariate_kde(violin, cut=5)
xs, ys = (kde.dimension_values(i) for i in range(2))
ys = (ys / ys.max()) * (0.7 / 2.)
ys = [('', ) + (sign * y, ) for sign, vs in ((-1, ys), (1, ys[::-1]))
for y in vs]
kde = {'x': np.concatenate([xs, xs[::-1]]), 'y': ys}
plot = bokeh_renderer.get_plot(violin)
self.assertEqual(plot.handles['x_range'].factors, [''])
self.assertEqual(plot.handles['y_range'].start, r1)
self.assertEqual(plot.handles['y_range'].end, r2)
self.assertIn('scatter_1_glyph_renderer', plot.handles)
self.assertIn('vbar_1_glyph_renderer', plot.handles)
seg_source = plot.handles['segment_1_source']
self.assertEqual(seg_source.data['x'], [('', 0)])
self.assertEqual(seg_source.data['y0'], [lower])
self.assertEqual(seg_source.data['y1'], [upper])
scatter_source = plot.handles['scatter_1_source']
self.assertEqual(scatter_source.data['x'], [('', 0)])
self.assertEqual(scatter_source.data['y'], [q2])
patch_source = plot.handles['patches_1_source']
self.assertEqual(patch_source.data['xs'], [kde['y']])
self.assertEqual(patch_source.data['ys'], [kde['x']])
def test_violin_simple(self):
values = np.random.rand(100)
violin = Violin(values).opts(plot=dict(violin_width=0.7))
qmin, q1, q2, q3, qmax = (np.percentile(values, q=q)
for q in range(0,125,25))
iqr = q3 - q1
upper = min(q3 + 1.5*iqr, np.nanmax(values))
lower = max(q1 - 1.5*iqr, np.nanmin(values))
r1, r2 = violin.range(0)
kde = univariate_kde(violin, cut=5)
xs, ys = (kde.dimension_values(i) for i in range(2))
ys = (ys/ys.max())*(0.7/2.)
ys = [('',)+(sign*y,) for sign, vs in ((-1, ys), (1, ys[::-1])) for y in vs]
kde = {'x': np.concatenate([xs, xs[::-1]]), 'y': ys}
plot = bokeh_renderer.get_plot(violin)
self.assertEqual(plot.handles['x_range'].factors, [''])
self.assertEqual(plot.handles['y_range'].start, r1)
self.assertEqual(plot.handles['y_range'].end, r2)
self.assertIn('scatter_1_glyph_renderer', plot.handles)
self.assertIn('vbar_1_glyph_renderer', plot.handles)
seg_source = plot.handles['segment_1_source']
self.assertEqual(seg_source.data['x'], [('', 0)])
self.assertEqual(seg_source.data['y0'], [lower])
self.assertEqual(seg_source.data['y1'], [upper])
scatter_source = plot.handles['scatter_1_source']
self.assertEqual(scatter_source.data['x'], [('', 0)])
self.assertEqual(scatter_source.data['y'], [q2])
patch_source = plot.handles['patches_1_source']
self.assertEqual(patch_source.data['xs'], [kde['y']])
self.assertEqual(patch_source.data['ys'], [kde['x']])
def test_violin_multi(self):
violin = Violin((np.random.randint(0, 2, 100), np.random.rand(100)), kdims=['A']).sort()
r1, r2 = violin.range(1)
plot = mpl_renderer.get_plot(violin)
data, style, axis_opts = plot.get_data(violin, {}, {})
self.assertEqual(data[0][0], violin.select(A=0).dimension_values(1))
self.assertEqual(data[0][1], violin.select(A=1).dimension_values(1))
self.assertEqual(style['positions'], [0, 1])
self.assertEqual(style['labels'], ['0', '1'])
def test_violin_multi(self):
violin = Violin((np.random.randint(0, 2, 100), np.random.rand(100)), kdims=['A']).sort()
r1, r2 = violin.range(1)
plot = mpl_renderer.get_plot(violin)
data, style, axis_opts = plot.get_data(violin, {}, {})
self.assertEqual(data[0][0], violin.select(A=0).dimension_values(1))
self.assertEqual(data[0][1], violin.select(A=1).dimension_values(1))
self.assertEqual(style['positions'], [0, 1])
self.assertEqual(style['labels'], ['0', '1'])
def test_violin_multi(self):
violin = Violin((np.random.randint(0, 2, 100), np.random.rand(100)),
kdims=['A']).sort()
r1, r2 = violin.range(1)
plot = bokeh_renderer.get_plot(violin)
self.assertEqual(plot.handles['x_range'].factors, ['0', '1'])
def test_violin_multi(self):
violin = Violin((np.random.randint(0, 2, 100), np.random.rand(100)), kdims=['A']).sort()
r1, r2 = violin.range(1)
plot = bokeh_renderer.get_plot(violin)
self.assertEqual(plot.handles['x_range'].factors, ['0', '1'])
