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

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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)  
zambiatek = np.random.randn(40)  
    
fig, axs = plt.subplots()  
axs.acorr(zambiatek, 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() 