Matplotlib.axes.Axes.set_prop_cycle() in Python

Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. And the instances of Axes supports callbacks through a callbacks attribute.

matplotlib.axes.Axes.set_prop_cycle() Function

The Axes.set_prop_cycle() function in axes module of matplotlib library is used to set the property cycle of the Axes.

Syntax: Axes.set_prop_cycle(self, *args, **kwargs)

Parameters: This method accepts the following parameters.

• cycler : This parameter is used to set the given Cycler.
• label : This parameter is the property key.
• values : This parameter is the finite-length iterable of the property values.

Returns:This method does not returns any values.

Below examples illustrate the matplotlib.axes.Axes.set_prop_cycle() function in matplotlib.axes:

Example 1:

# Implementation of matplotlib function
from cycler import cycler
import numpy as np
import matplotlib.pyplot as plt


x = np.linspace(0, 200, 10)

yy = np.transpose([2 * np.sin(x + phi) for phi in x])

fig, ax1 = plt.subplots()

ax1.set_prop_cycle(color =['magenta', 'g',
                           'y', 'k'],
                   lw =[1, 2, 3, 4])
ax1.plot(yy)
ax1.set_title(' matplotlib.axes.Axes.set_prop_cycle() \
Example\n', fontsize = 12, fontweight ='bold')
plt.show()

Output:

Example 2:

# Implementation of matplotlib function
from cycler import cycler
import numpy as np
import matplotlib.pyplot as plt

x = np.linspace(0, 3 * np.pi)

offsets = np.linspace(0, 3 * np.pi, 8,
                      endpoint = False)

yy = np.transpose([2 * np.sin(x + phi) for phi in offsets])

plt.rc('lines', linewidth = 4)
plt.rc('axes', prop_cycle =(cycler(color =['r', 'g',
                                           'purple',
                                           'orange']) +
                           cycler(linestyle =['-',
                                              '--',
                                              ':',
                                              '-.'])))

fig, (ax0, ax1) = plt.subplots(nrows = 2)
ax0.plot(yy)
ax0.set_title('Above example with set_prop_cycle() \
function\n\nSet default color cycle to rgby',
              fontsize = 12, fontweight ='bold')

ax1.set_prop_cycle(color =['magenta', 'g',
                           'y', 'k'],
                   lw =[1, 2, 3, 4])
ax1.plot(yy)
ax1.set_title('Set axes color cycle to cmyk',
              fontsize = 12,
              fontweight ='bold')

plt.show()

Output: