Matplotlib.axes.Axes.update() in Python
Last Updated :
30 Apr, 2020
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:
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:
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:
Like Article
Suggest improvement
Share your thoughts in the comments
Please Login to comment...