for framedcls in [VectorFieldPlot, ContourPlot, PathPlot, PolygonPlot,
RasterPlot, RGBPlot, HSVPlot, QuadMeshPlot, HeatMapPlot]:
framedcls.show_frame = True
AdjointLayoutPlot.registry[Histogram] = SideHistogramPlot
AdjointLayoutPlot.registry[Spikes] = SideSpikesPlot
point_size = np.sqrt(6) # Matches matplotlib default
# Register bokeh.palettes with Palette and Cycle
def colormap_generator(palette):
return lambda value: palette[int(value*(len(palette)-1))]
Palette.colormaps.update({name: colormap_generator(p[max(p.keys())])
for name, p in all_palettes.items()})
Cycle.default_cycles.update({name: p[max(p.keys())] for name, p in all_palettes.items()
if max(p.keys()) < 256})
dflt_cmap = 'hot' if config.style_17 else 'fire'
options = Store.options(backend='bokeh')
# Charts
options.Curve = Options('style', color=Cycle(), line_width=2)
options.BoxWhisker = Options('style', box_fill_color='lightgray', whisker_color='black',
box_line_color='black', outlier_color='black')
options.Scatter = Options('style', color=Cycle(), size=point_size, cmap=dflt_cmap)
options.Points = Options('style', color=Cycle(), size=point_size, cmap=dflt_cmap)
if not config.style_17:
options.Points = Options('plot', show_frame=True)
AdjointLayoutPlot.registry[Spikes] = SideSpikesPlot
point_size = np.sqrt(6) # Matches matplotlib default
Cycle.default_cycles['default_colors'] = [
'#30a2da', '#fc4f30', '#e5ae38', '#6d904f', '#8b8b8b'
]
# Register bokeh.palettes with Palette and Cycle
def colormap_generator(palette):
return lambda value: palette[int(value * (len(palette) - 1))]
Palette.colormaps.update({
name: colormap_generator(p[max(p.keys())])
for name, p in all_palettes.items()
})
Cycle.default_cycles.update({
name: p[max(p.keys())]
for name, p in all_palettes.items() if max(p.keys()) < 256
})
dflt_cmap = 'hot' if config.style_17 else 'fire'
options = Store.options(backend='bokeh')
# Charts
options.Curve = Options('style', color=Cycle(), line_width=2)
options.BoxWhisker = Options('style',
box_fill_color=Cycle(),
whisker_color='black',
for framedcls in [VectorFieldPlot, ContourPlot, PathPlot, PolygonPlot,
RasterPlot, RGBPlot, HSVPlot, QuadMeshPlot, HeatMapPlot]:
framedcls.show_frame = True
AdjointLayoutPlot.registry[Histogram] = SideHistogramPlot
AdjointLayoutPlot.registry[Spikes] = SideSpikesPlot
point_size = np.sqrt(6) # Matches matplotlib default
# Register bokeh.palettes with Palette and Cycle
def colormap_generator(palette):
return lambda value: palette[int(value*(len(palette)-1))]
Palette.colormaps.update({name: colormap_generator(p[max(p.keys())])
for name, p in all_palettes.items()})
Cycle.default_cycles.update({name: p[max(p.keys())] for name, p in all_palettes.items()
if max(p.keys()) < 256})
dflt_cmap = 'hot' if config.style_17 else 'fire'
options = Store.options(backend='bokeh')
# Charts
options.Curve = Options('style', color=Cycle(), line_width=2)
options.BoxWhisker = Options('style', box_fill_color=Cycle(), whisker_color='black',
box_line_color='black', outlier_color='black')
options.Scatter = Options('style', color=Cycle(), size=point_size, cmap=dflt_cmap)
options.Points = Options('style', color=Cycle(), size=point_size, cmap=dflt_cmap)
if not config.style_17:
options.Points = Options('plot', show_frame=True)
