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:
