Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. And the instances of Axes supports callbacks through a callbacks attribute.
matplotlib.axes.Axes.update() Function
The Axes.update() function in axes module of matplotlib library is used to update this artist’s properties from the dictionary props.
Syntax: Axes.update(self, props)
Parameters: This method accepts the following parameters.
- props: This parameter is the dictionary of the properties.
Returns: This method does not return any value.
Below examples illustrate the matplotlib.axes.Axes.update() function in matplotlib.axes:
Example 1:
# Implementation of matplotlib function import matplotlib.pyplot as plt import numpy as np np.random.seed( 10 * * 7 ) geeks = np.random.randn( 100 ) fig, ax = plt.subplots() ax.acorr(geeks, usevlines = True , normed = True , maxlags = 80 , lw = 3 ) ax.grid( True ) prop = { 'xticks' : np.array([ - 10. , - 5. , 0. , 5. , 10. ]), 'yticks' : np.array([ - 0.2 , 0.2 , 0.6 , 1. , 1.4 ]), 'ylabel' : None , 'xlabel' : None } ax.update(prop) fig.suptitle('matplotlib.axes.Axes.update()\ function Example', fontweight = "bold" ) plt.show() |
Output:
Example 2:
# Implementation of matplotlib function import numpy as np import matplotlib.pyplot as plt xx = np.random.rand( 16 , 30 ) fig, ax = plt.subplots() m = ax.pcolor(xx) m.set_zorder( - 20 ) prop = { 'autoscalex_on' : False } w = ax.update(prop) fig.suptitle('matplotlib.axes.Axes.update()\ function Example', fontweight = "bold" ) plt.show() |
Output:
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