Matplotlib.axes.Axes.set_prop_cycle() in Python

Last Updated : 19 Apr, 2020

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() 