When plotting with Bokeh, how do you automatically cycle through a color pallette?

It is probably easiest to just get the list of colors and cycle it yourself using itertools:

import numpy as npfrom bokeh.plotting import figure, output_file, show# select a palettefrom bokeh.palettes import Dark2_5 as palette# itertools handles the cyclingimport itertools  output_file('bokeh_cycle_colors.html')p = figure(width=400, height=400)x = np.linspace(0, 10)# create a color iteratorcolors = itertools.cycle(palette)    for m, color in zip(range(10), colors):    y = m * x    p.line(x, y, legend='m = {}'.format(m), color=color)p.legend.location='top_left'show(p)

You can define a simple generator that cycles colors for you.

In python 3:

from bokeh.palettes import Category10import itertoolsdef color_gen():    yield from itertools.cycle(Category10[10])color = color_gen()

or in python 2 (or 3):

from bokeh.palettes import Category10import itertoolsdef color_gen():    for c in itertools.cycle(Category10[10]):        yield ccolor = color_gen()

and when you need a new color, do:

p.line(x, y1, line_width=2, color=color)p.line(x, y2, line_width=2, color=color)

Here is the above example:

p = figure(width=400, height=400)x = np.linspace(0, 10)for m, c in zip(range(10), color):    y = m * x    p.line(x, y, legend='m = {}'.format(m), color=c)p.legend.location='top_left'show(p)

Two small changes will make prior answer work for Python 3.

• changed: for m, color in zip(range(10), colors):

• prior: for m, color in itertools.izip(xrange(10), colors):