palettes¶
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import numpy as np
from collections import OrderedDict
from bokeh.charts import Area, output_file, gridplot, show
from bokeh.palettes import (Blues9, BrBG9, BuGn9, BuPu9, GnBu9, Greens9,
Greys9, OrRd9, Oranges9, PRGn9, PiYG9, PuBu9,
PuBuGn9, PuOr9, PuRd9, Purples9, RdBu9, RdGy9,
RdPu9, RdYlBu9, RdYlGn9, Reds9, Spectral9, YlGn9,
YlGnBu9, YlOrBr9, YlOrRd9)
standard_palettes = OrderedDict([("Blues9", Blues9), ("BrBG9", BrBG9),
("BuGn9", BuGn9), ("BuPu9", BuPu9),
("GnBu9", GnBu9), ("Greens9", Greens9),
("Greys9", Greys9), ("OrRd9", OrRd9),
("Oranges9", Oranges9), ("PRGn9", PRGn9),
("PiYG9", PiYG9), ("PuBu9", PuBu9),
("PuBuGn9", PuBuGn9), ("PuOr9", PuOr9),
("PuRd9", PuRd9), ("Purples9", Purples9),
("RdBu9", RdBu9), ("RdGy9", RdGy9),
("RdPu9", RdPu9), ("RdYlBu9", RdYlBu9),
("RdYlGn9", RdYlGn9), ("Reds9", Reds9),
("Spectral9", Spectral9), ("YlGn9", YlGn9),
("YlGnBu9", YlGnBu9), ("YlOrBr9", YlOrBr9),
("YlOrRd9", YlOrRd9)])
def create_area_chart(data, palette):
_chart_styling = dict(height=300,
width=300,
xgrid=False,
ygrid=False,
tools="")
return Area(data,
title=palette,
stack=True,
palette=standard_palettes.get(palette),
**_chart_styling)
data = np.random.random_integers(low=5, high=13, size=[9,20])
area_charts = [create_area_chart(data, palette)
for palette
in standard_palettes.keys()]
area_charts = np.reshape(area_charts, newshape=[9,3]).tolist()
output_file('palettes.html', title='palettes.py example')
show(gridplot(area_charts))