def test_dynamic_operation_init_renamed_stream_params(self):
img = Image(sine_array(0, 5))
stream = RangeX(rename={'x_range': 'bin_range'})
histogram(img, bin_range=(0, 1), streams=[stream], dynamic=True)
self.assertEqual(stream.x_range, (0, 1))
def test_colormapper_transparent_nan(self):
img = Image(np.array(
[[0, 1], [2, 3]])).options(clipping_colors={'NaN': 'transparent'})
plot = mpl_renderer.get_plot(img)
cmap = plot.handles['artist'].cmap
self.assertEqual(cmap._rgba_bad, (1.0, 1.0, 1.0, 0))
def test_layout_title_show_title_false(self):
hmap1 = HoloMap({a: Image(np.random.rand(10, 10)) for a in range(3)})
hmap2 = HoloMap({a: Image(np.random.rand(10, 10)) for a in range(3)})
layout = Layout([hmap1, hmap2]).opts(plot=dict(show_title=False))
plot = bokeh_renderer.get_plot(layout)
self.assertTrue('title' not in plot.handles)
def test_colormapper_unsigned_int(self):
img = Image(np.array([[1, 1, 1, 2], [2, 2, 3, 4]]).astype('uint16'))
plot = mpl_renderer.get_plot(img)
artist = plot.handles['artist']
self.assertEqual(artist.get_clim(), (1, 4))
def test_colormapper_clims(self):
img = Image(np.array([[0, 1], [2, 3]])).options(clims=(0, 4))
plot = mpl_renderer.get_plot(img)
artist = plot.handles['artist']
self.assertEqual(artist.get_clim(), (0, 4))
def test_image_init(self):
image = Image(self.array1)
self.assertEqual(image.xdensity, 3)
self.assertEqual(image.ydensity, 2)
def test_image_range_masked(self):
arr = np.random.rand(10, 10) - 0.5
arr = np.ma.masked_where(arr <= 0, arr)
rrange = Image(arr).range(2)
self.assertEqual(rrange, (np.min(arr), np.max(arr)))
def test_deep_relabel_group(self):
fn = lambda i: Image(sine_array(0, i))
dmap = DynamicMap(fn, kdims=['i']).relabel(group='Test')
self.assertEqual(dmap[0].group, 'Test')
def callback(x, y):
return NdLayout(
{i: Image(np.array([[i, 1], [2, 3]]))
for i in range(1, 3)})
def callback(x, y):
return Image(np.array([[0, 1], [2, 3]])) + Image(
np.array([[0, 1], [2, 3]]))
def callback(x, y):
return Image(np.array([[0, 1], [2, 3]])) + Text(0, 0, 'Test')
def fn2(x, y):
counter[0] += 1
return Image(np.random.rand(10, 10))
def test_dynamic_element_underlay(self):
fn = lambda i: Image(sine_array(0, i))
dmap = DynamicMap(fn, kdims=['i'])
dynamic_overlay = Image(sine_array(0, 10)) * dmap
overlaid = Image(sine_array(0, 10)) * Image(sine_array(0, 5))
self.assertEqual(dynamic_overlay[5], overlaid)
def test_dynamic_operation_init_stream_params(self):
img = Image(sine_array(0, 5))
stream = Stream.define('TestStream', bin_range=None)()
histogram(img, bin_range=(0, 1), streams=[stream], dynamic=True)
self.assertEqual(stream.bin_range, (0, 1))
def test_colormapper_min_max_colors(self):
img = Image(np.array([[0, 1], [2, 3]])).options(clipping_colors={'min': 'red', 'max': 'blue'})
plot = bokeh_renderer.get_plot(img)
cmapper = plot.handles['color_mapper']
self.assertEqual(cmapper.low_color, 'red')
self.assertEqual(cmapper.high_color, 'blue')
def callback():
return GridSpace({(i, j): Image(np.array([[i, j], [2, 3]]))
for i in range(1, 3) for j in range(1, 3)})
def test_custom_colorbar_ticker(self):
ticker = LogTicker()
img = Image(np.array([[0, 1], [2, 3]])).options(colorbar=True, colorbar_opts=dict(ticker=ticker))
plot = bokeh_renderer.get_plot(img)
colorbar = plot.handles['colorbar']
self.assertIs(colorbar.ticker, ticker)
def test_redim_dimension_name(self):
fn = lambda i: Image(sine_array(0, i))
dmap = DynamicMap(fn, kdims=['i']).redim(i='New')
self.assertEqual(dmap.kdims[0].name, 'New')
def test_image_index(self):
image = Image(self.array1)
self.assertEqual(image[-.33, -0.25], 3)
def test_redim_dimension_range_aux(self):
fn = lambda i: Image(sine_array(0, i))
dmap = DynamicMap(fn, kdims=['i']).redim.range(i=(0, 1))
self.assertEqual(dmap.kdims[0].range, (0, 1))
def test_empty_image(self):
Image([])
Image(None)
Image(np.array([]))
Image(np.zeros((0, 0)))
def test_colormapper_symmetric(self):
img = Image(np.array([[0, 1], [2, 3]])).options(symmetric=True)
plot = bokeh_renderer.get_plot(img)
cmapper = plot.handles['color_mapper']
self.assertEqual(cmapper.low, -3)
self.assertEqual(cmapper.high, 3)
def test_colormapper_symmetric(self):
img = Image(np.array([[0, 1], [2, 3]])).options(symmetric=True)
plot = mpl_renderer.get_plot(img)
artist = plot.handles['artist']
self.assertEqual(artist.get_clim(), (-3, 3))
def test_colormapper_logz_int_zero_bound(self):
img = Image(np.array([[0, 1], [2, 3]])).options(logz=True)
plot = bokeh_renderer.get_plot(img)
cmapper = plot.handles['color_mapper']
self.assertEqual(cmapper.low, 1)
self.assertEqual(cmapper.high, 3)
def test_colormapper_color_levels(self):
img = Image(np.array([[0, 1], [2, 3]])).options(color_levels=5)
plot = mpl_renderer.get_plot(img)
artist = plot.handles['artist']
self.assertEqual(len(artist.cmap.colors), 5)
def test_colormapper_transparent_nan(self):
img = Image(np.array([[0, 1], [2, 3]])).options(clipping_colors={'NaN': 'transparent'})
plot = bokeh_renderer.get_plot(img)
cmapper = plot.handles['color_mapper']
self.assertEqual(cmapper.nan_color, 'rgba(0, 0, 0, 0)')
def test_layout_empty_subplots(self):
layout = Curve(range(10)) + NdOverlay() + HoloMap() + HoloMap(
{1: Image(np.random.rand(10, 10))})
plot = bokeh_renderer.get_plot(layout)
self.assertEqual(len(plot.subplots.values()), 2)
def test_colormapper_cnorm_log(self):
img = Image(np.array([[0, 1], [2, 3]])).options(cnorm='log')
plot = bokeh_renderer.get_plot(img)
cmapper = plot.handles['color_mapper']
self.assertTrue(cmapper, LogColorMapper)
def init_data(self):
self.image = Image((self.xs, self.ys, self.array))
self.image_inv = Image(
(self.xs[::-1], self.ys[::-1], self.array[::-1, ::-1]))
def test_dynamic_operation_on_hmap(self):
hmap = HoloMap({i: Image(sine_array(0, i)) for i in range(10)})
dmap = Dynamic(hmap, operation=lambda x: x)
self.assertEqual(dmap.kdims[0].name, hmap.kdims[0].name)
self.assertEqual(dmap.kdims[0].values, hmap.keys())
