How to set the default color cycle for all subplots with matplotlib?

How can I set a default set of colors for plots made with matplotlib? I can set a particular color map like this

import numpy as np
import matplotlib.pyplot as plt

fig=plt.figure(i)
ax=plt.gca()
colormap = plt.get_cmap('jet')
ax.set_color_cycle([colormap(k) for k in np.linspace(0, 1, 10)])

but is there some way to set the same set of colors for all plots, including subplots?

Answers:

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Method 1

Sure! Either specify axes.color_cycle in your .matplotlibrc file or set it at runtime using matplotlib.rcParams or matplotlib.rc.

As an example of the latter:

import matplotlib.pyplot as plt
import matplotlib as mpl
import numpy as np

# Set the default color cycle
mpl.rcParams['axes.prop_cycle'] = mpl.cycler(color=["r", "k", "c"]) 

x = np.linspace(0, 20, 100)

fig, axes = plt.subplots(nrows=2)

for i in range(10):
    axes[0].plot(x, i * (x - 10)**2)

for i in range(10):
    axes[1].plot(x, i * np.cos(x))

plt.show()

Method 2

Starting from matplotlib 1.5, mpl.rcParams[‘axes.color_cycle’] is deprecated. You should use axes.prop_cycle:

import matplotlib as mpl
mpl.rcParams['axes.prop_cycle'] = mpl.cycler(color=["r", "#e94cdc", "0.7"])

Method 3

In the version of 2.1.0, the below works for me, using set_prop_cycle and module cycler

from cycler import cycler
custom_cycler = (cycler(color=['r','b','m','g']))
ax.set_prop_cycle(custom_cycler)

you can add additional line attribute

custom_cycler = (cycler(color=['r','b','m','g']) + cycler(lw=[1,1,1,2]))

‘ax’ comes from ax=plt.axes() or any axes generator

All methods was sourced from stackoverflow.com or stackexchange.com, is licensed under cc by-sa 2.5, cc by-sa 3.0 and cc by-sa 4.0