Matplotlib.axis.Axis.get_agg_filter() function in Python

Last Updated : 08 Jun, 2020

Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. It is an amazing visualization library in Python for 2D plots of arrays and used for working with the broader SciPy stack.

Matplotlib.axis.Axis.get_agg_filter() Function

The Axis.get_agg_filter() function in axis module of matplotlib library is used to get the filter function to be used for agg filter.

Syntax: Axis.get_agg_filter(self)

Parameters: This method does not accepts any parameter.

Return value: This method return the filter function to be used for agg filter.

Below examples illustrate the matplotlib.axis.Axis.get_agg_filter() function in matplotlib.axis:

Example 1:

Python3

# Implementation of matplotlib function
from matplotlib.axis import Axis
import numpy as np 
import matplotlib.pyplot as plt 
from matplotlib.artist import Artist  
  
  
xx = np.random.rand(6, 5) 
  
fig, axs = plt.subplots() 
  
m = axs.pcolor(xx) 
m.set_zorder(-2) 
  
# use of get_agg_filter() method 
val = Axis.get_agg_filter(axs) 
axs.set_title("Value Return by get_agg_filter(): "
              + str(val))

fig.suptitle("""matplotlib.axis.Axis.get_agg_filter()
function Example\n""", fontweight ="bold")  
  
plt.show()

Output:

Example 2:

Python3

# Implementation of matplotlib function
from matplotlib.axis import Axis
import numpy as np 
import matplotlib.pyplot as plt 
  
  
np.random.seed(10**7) 
geeks = np.random.randn(40) 
  
fig, axs = plt.subplots() 
axs.acorr(geeks, usevlines=True, normed=True, 
          maxlags=30, lw=2) 
  
axs.grid(True) 
  
# use of get_agg_filter() method 
val = Axis.get_agg_filter(axs) 
axs.set_title("Value Return by get_agg_filter(): " 
              + str(val)) 

fig.suptitle("""matplotlib.axis.Axis.get_agg_filter()
function Example\n""", fontweight ="bold")  
  
plt.show()