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

Last Updated : 08 Jun, 2020
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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
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()


Output: 
 

 



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