def setUp(self):
if 'bokeh' not in Store.renderers:
raise SkipTest("Bokeh required to test widgets")
self.image1 = Image(np.array([[0, 1], [2, 3]]), label='Image1')
self.image2 = Image(np.array([[1, 0], [4, -2]]), label='Image2')
self.map1 = HoloMap({1: self.image1, 2: self.image2}, label='TestMap')
self.renderer = BokehRenderer.instance()
def test_render_to_png(self):
if bokeh_version < str('0.12.6'):
raise SkipTest('Bokeh static png rendering requires bokeh>=0.12.6')
curve = Curve([])
renderer = BokehRenderer.instance(fig='png')
png, info = renderer(curve)
self.assertIsInstance(png, bytes)
self.assertEqual(info['file-ext'], 'png')
def test_render_to_png(self):
curve = Curve([])
renderer = BokehRenderer.instance(fig='png')
try:
png, info = renderer(curve)
except RuntimeError:
raise SkipTest("Test requires selenium")
self.assertIsInstance(png, bytes)
self.assertEqual(info['file-ext'], 'png')
def test_render_to_png(self):
curve = Curve([])
renderer = BokehRenderer.instance(fig='png')
try:
png, info = renderer(curve)
except RuntimeError:
raise SkipTest("Test requires selenium")
self.assertIsInstance(png, bytes)
self.assertEqual(info['file-ext'], 'png')
def setUp(self):
if 'bokeh' not in Store.renderers:
raise SkipTest("Bokeh required to test widgets")
self.image1 = Image(np.array([[0,1],[2,3]]), label='Image1')
self.image2 = Image(np.array([[1,0],[4,-2]]), label='Image2')
self.map1 = HoloMap({1:self.image1, 2:self.image2}, label='TestMap')
self.renderer = BokehRenderer.instance()
self.nbcontext = Renderer.notebook_context
Renderer.notebook_context = False
def setUp(self):
if 'bokeh' not in Store.renderers and pn is not None:
raise SkipTest("Bokeh and Panel required to test 'bokeh' renderer")
self.image1 = Image(np.array([[0, 1], [2, 3]]), label='Image1')
self.image2 = Image(np.array([[1, 0], [4, -2]]), label='Image2')
self.map1 = HoloMap({1: self.image1, 2: self.image2}, label='TestMap')
self.renderer = BokehRenderer.instance()
self.nbcontext = Renderer.notebook_context
self.comm_manager = Renderer.comm_manager
with param.logging_level('ERROR'):
Renderer.notebook_context = False
Renderer.comm_manager = CommManager
def test_theme_rendering(self):
theme = Theme(
json={'attrs': {
'Figure': {
'outline_line_color': '#444444'
}
}})
renderer = BokehRenderer.instance(fig='png')
renderer.theme = theme
plot = renderer.get_plot(Curve([]))
renderer(plot)
self.assertEqual(plot.state.outline_line_color, '#444444')
def test_render_to_png(self):
curve = Curve([])
renderer = BokehRenderer.instance(fig='png')
png, info = renderer(curve)
self.assertIsInstance(png, bytes)
self.assertEqual(info['file-ext'], 'png')
def get_fractal(x_range, y_range):
(x0, x1), (y0, y1) = x_range, y_range
image = np.zeros((600, 600), dtype=np.uint8)
return hv.Image(create_fractal(x0, x1, -y1, -y0, image, 200),
bounds=(x0, y0, x1, y1))
# Define stream linked to axis XY-range
range_stream = RangeXY(x_range=(-1., 1.), y_range=(-1., 1.))
# Create DynamicMap to compute fractal per zoom range and
# adjoin a logarithmic histogram
dmap = hv.DynamicMap(get_fractal,
label='Manderbrot Explorer',
streams=[range_stream]).hist(log=True)
# Define styling options
options = hv.Store.options('bokeh')
options.Image = {
'style': Options(cmap='fire'),
'plot': Options(logz=True, height=600, width=600, xaxis=None, yaxis=None)
}
options.Histogram = {
'norm': Options(framewise=True),
'plot': Options(logy=True, width=200)
}
doc = BokehRenderer.server_doc(dmap)
doc.title = 'Mandelbrot Explorer'
# Update the holoviews plot by calling update with the new year.
def slider_update(attrname, old, new):
hvplot.update((new, ))
def animate():
if button.label == '► Play':
button.label = '❚❚ Pause'
doc.add_periodic_callback(animate_update, 200)
else:
button.label = '► Play'
doc.remove_periodic_callback(animate_update)
start, end = ds.range('Year')
slider = Slider(start=start, end=end, value=start, step=1, title="Year")
slider.on_change('value', slider_update)
button = Button(label='► Play', width=60)
button.on_click(animate)
# Get HoloViews plot and attach document
doc = curdoc()
hvplot = BokehRenderer.get_plot(hvgapminder, doc)
# Make a bokeh layout and add it as the Document root
plot = layout([[hvplot.state], [slider, button]], sizing_mode='fixed')
doc.add_root(plot)
return image
def get_fractal(x_range, y_range):
(x0, x1), (y0, y1) = x_range, y_range
image = np.zeros((600, 600), dtype=np.uint8)
return hv.Image(create_fractal(x0, x1, -y1, -y0, image, 200),
bounds=(x0, y0, x1, y1))
# Define stream linked to axis XY-range
range_stream = RangeXY(x_range=(-1., 1.), y_range=(-1., 1.))
# Create DynamicMap to compute fractal per zoom range and
# adjoin a logarithmic histogram
dmap = hv.DynamicMap(get_fractal, label='Manderbrot Explorer',
streams=[range_stream]).hist(log=True)
# Define styling options
options = hv.Store.options('bokeh')
options.Image = {
'style': Options(cmap='fire'),
'plot' : Options(logz=True, height=600, width=600,
xaxis=None, yaxis=None)
}
options.Histogram = {
'norm': Options(framewise=True),
'plot': Options(logy=True, width=200)
}
doc = BokehRenderer.server_doc(dmap)
doc.title = 'Mandelbrot Explorer'
def gapminder_plot(doc):
# Apply dimension labels and ranges
kdims = ['Fertility', 'Life expectancy']
vdims = ['Country', 'Population', 'Group']
dimensions = {
'Fertility':
dict(label='Children per woman (total fertility)', range=(0, 10)),
'Life expectancy':
dict(label='Life expectancy at birth (years)', range=(15, 100)),
'Population': ('population', 'Population')
}
# Create Points plotting fertility vs life expectancy indexed by Year
gapminder_ds = ds.redim(**dimensions).to(hv.Points, kdims, vdims, 'Year')
# Define annotations
text = gapminder_ds.clone({
yr: hv.Text(1.2, 25, str(int(yr)), fontsize=30)
for yr in gapminder_ds.keys()
})
# Define options
opts = {
'plot':
dict(width=950,
height=450,
tools=['hover'],
size_index='Population',
color_index='Group',
size_fn=np.sqrt,
title_format="{label}"),
'style':
dict(cmap='Set1', size=0.3, line_color='black', alpha=0.6)
}
text_opts = {'style': dict(text_font_size='52pt', text_color='lightgray')}
# Combine Points and Text
hvgapminder = (gapminder_ds({'Points': opts}) *
text({'Text': text_opts})).relabel('Gapminder Demo')
# Define custom widgets
def animate_update():
year = slider.value + 1
if year > end:
year = start
slider.value = year
# Update the holoviews plot by calling update with the new year.
def slider_update(attrname, old, new):
hvplot.update((new, ))
def animate():
if button.label == '► Play':
button.label = '❚❚ Pause'
doc.add_periodic_callback(animate_update, 200)
else:
button.label = '► Play'
doc.remove_periodic_callback(animate_update)
start, end = ds.range('Year')
slider = Slider(start=start, end=end, value=start, step=1, title="Year")
slider.on_change('value', slider_update)
button = Button(label='► Play', width=60)
button.on_click(animate)
# Get HoloViews plot
hvplot = BokehRenderer.get_plot(hvgapminder, doc)
# Make a bokeh layout and add it as the Document root
plot = layout([[hvplot.state], [slider, button]], sizing_mode='fixed')
doc.add_root(plot)
return doc
if year > end:
year = start
slider.value = year
# Update the holoviews plot by calling update with the new year.
def slider_update(attrname, old, new):
hvplot.update((new,))
def animate():
if button.label == '► Play':
button.label = '❚❚ Pause'
doc.add_periodic_callback(animate_update, 200)
else:
button.label = '► Play'
doc.remove_periodic_callback(animate_update)
start, end = ds.range('Year')
slider = Slider(start=start, end=end, value=start, step=1, title="Year")
slider.on_change('value', slider_update)
button = Button(label='► Play', width=60)
button.on_click(animate)
# Get HoloViews plot and attach document
doc = curdoc()
hvplot = BokehRenderer.get_plot(hvgapminder, doc)
# Make a bokeh layout and add it as the Document root
plot = layout([[hvplot.state], [slider, button]], sizing_mode='fixed')
doc.add_root(plot)
