How to set the default color cycle for all subplots with matplotlib?
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 pltimport matplotlib as mplimport numpy as np# Set the default color cyclempl.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()
Starting from matplotlib 1.5, mpl.rcParams['axes.color_cycle'] is deprecated. You should use axes.prop_cycle:
import matplotlib as mplmpl.rcParams['axes.prop_cycle'] = mpl.cycler(color=["r", "#e94cdc", "0.7"])
In the version of 2.1.0, the below works for me, using set_prop_cycle and module cycler
from cycler import cyclercustom_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