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:
# Implementation of matplotlib function import matplotlib.pyplot as plt import numpy as np fig, ax = plt.subplots() ax.plot([1, 2, 3]) w = ax.can_pan() # print(w) 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:
# Implementation of matplotlib function 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 = 5f0 = 3delta_f = 5.0s = 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() |
Output:
