matplotlib.axes.Axes.can_pan() in Python
Last Updated :
19 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.can_pan() Function
The Axes.can_pan() Function in axes module of matplotlib library is used to check whether the axes supports any pan/zoom button functionality or not.
Syntax: Axes.can_pan(self)
Parameters: This method does not accept any parameters.
Return value: This method returns boolean value True if supports any pan/zoom button functionality.
Below examples illustrate the matplotlib.axes.Axes.can_pan() function in matplotlib.axes:
Example 1:
import matplotlib.pyplot as plt
import numpy as np
fig, ax = plt.subplots()
ax.plot([ 1 , 2 , 3 ])
w = ax.can_pan()
ax.text( 0.4 , 2.75 , "Value return by can_pan() function:" ,
fontweight = "bold" )
ax.text( 0.9 , 2.6 , w, fontweight = "bold" )
fig.suptitle('matplotlib.axes.Axes.can_pan() function \
Example\n\n', fontweight = "bold" )
plt.show()
|
Output:
Example 2:
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.widgets import Slider, Button, RadioButtons
fig, ax1 = plt.subplots()
plt.subplots_adjust(bottom = 0.25 )
t = np.arange( 0.0 , 1.0 , 0.001 )
a0 = 5
f0 = 3
delta_f = 5.0
s = a0 * np.sin( 2 * np.pi * f0 * t)
ax1.plot(t, s, lw = 2 , color = 'green' )
ax1.set_ymargin( 0.5 )
w = ax1.can_pan()
ax1.text( 0.2 , 7.5 , "Value return by can_pan() function:" ,
fontweight = "bold" )
ax1.text( 0.47 , 5.6 , w, fontweight = "bold" )
fig.suptitle('matplotlib.axes.Axes.can_pan() function\
Example\n\n', fontweight = "bold" )
plt.show()
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Output:
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