Reputation: 901
This article How to set the default color cycle for all subplots with matplotlib? teaches us how to use mpl.rcParams['axes.color_cycle'] = ['r', 'k', 'c']
to change the default colour 'r', 'k', 'c'
cycle to red, black and cyan. However, how can I change the actual hex-triplets which 'r', 'k', 'c'
represent? Say I want 'r'
to represent #8F00FF
(violet)? Or even better, how can I add colours, such that 'v'
represent the hex-triplet #8F00FF
? I hope to use them to implement them in mpl.rcParams['axes.color_cycle']
.
Upvotes: 0
Views: 2082
Reputation: 69182
You can specify the colors using hex notation directly in for the color cycle, like this:
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
from cycler import cycler # for mpl>2.2
mpl.rcParams['axes.prop_cycle'] = cycler(color=['r', '#8F00FF', '#A0F0A0'])
# for mpl < 2.2
#mpl.rcParams['axes.color_cycle'] = ['r', '#8F00FF', '#A0F0A0']
y = np.arange(5)
for i in range(7):
plt.plot(y + i, linewidth=5)
plt.show()
Upvotes: 2