Matplotlib is a library in Python and it is a 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.Tick.get_agg_filter() Function
The Tick.get_agg_filter() function in axis module of matplotlib library is used to get the filter function to be used for agg filter.
Syntax: Tick.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.Tick.get_agg_filter() function in matplotlib.axis:
Example 1:
Python3
| # Implementation of matplotlib function frommatplotlib.axis importTick importnumpy as np importmatplotlib.pyplot as plt frommatplotlib.artist importArtist   xx =np.random.rand(3, 4)  fig, axs =plt.subplots()  m =axs.pcolor(xx) m.set_zorder(2)  val =Tick.get_agg_filter(axs) axs.set_title("Value Return by get_agg_filter(): "              +str(val))  fig.suptitle("""matplotlib.axis.Tick.get_agg_filter() function Example\n""", fontweight="bold")  plt.show()  | 
Output:
 
Example 2:
Python3
| # Implementation of matplotlib function frommatplotlib.axis importTick importnumpy as np importmatplotlib.pyplot as plt   np.random.seed(10**7) neveropen =np.random.randn(40)  fig, axs =plt.subplots() axs.acorr(neveropen, usevlines=True, normed=True,           maxlags=10, lw=2)  axs.grid(True)  val =Tick.get_agg_filter(axs) axs.set_title("Value Return by get_agg_filter(): "              +str(val))  fig.suptitle("""matplotlib.axis.Tick.get_agg_filter() function Example\n""", fontweight="bold")  plt.show()  | 
Output:
 

 
                                    







