Styling with cycler

Demo of custom property-cycle settings to control colors and other style properties for multi-line plots.

This example demonstrates two different APIs:

  1. Setting the default rc parameter specifying the property cycle. This affects all subsequent axes (but not axes already created).
  2. Setting the property cycle for a single pair of axes.
from cycler import cycler
import numpy as np
import matplotlib.pyplot as plt

x = np.linspace(0, 2 * np.pi)
offsets = np.linspace(0, 2*np.pi, 4, endpoint=False)
# Create array with shifted-sine curve along each column
yy = np.transpose([np.sin(x + phi) for phi in offsets])

# 1. Setting prop cycle on default rc parameter
plt.rc('lines', linewidth=4)
plt.rc('axes', prop_cycle=(cycler(color=['r', 'g', 'b', 'y']) +
                           cycler(linestyle=['-', '--', ':', '-.'])))
fig, (ax0, ax1) = plt.subplots(nrows=2, constrained_layout=True)
ax0.set_title('Set default color cycle to rgby')

# 2. Define prop cycle for single set of axes
#    For the most general use-case, you can provide a cycler to
#    `.set_prop_cycle`.
#    Here, we use the convenient shortcut that we can alternatively pass
#    one or more properties as keyword arguments. This creates and sets
#    a cycler iterating simultaneously over all properties.
ax1.set_prop_cycle(color=['c', 'm', 'y', 'k'], lw=[1, 2, 3, 4])
ax1.set_title('Set axes color cycle to cmyk')
Set default color cycle to rgby, Set axes color cycle to cmyk


The use of the following functions, methods, classes and modules is shown in this example:


<function _AxesBase.set_prop_cycle at 0x7f616025de50>

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