Matplotlib.axes.Axes.set_navigate() in Python

Last Updated : 19 Apr, 2020
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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.set_navigate() Function

The Axes.set_navigate() Function in axes module of matplotlib library is used to check whether the axes responds to navigation toolbar commands or not.
Syntax: Axes.set_navigate(self, b) Parameters: This accept the following parameters that are described below:
  • b : This parameter contains the boolean value.
Return value: This method does not returns any value.
Below examples illustrate the matplotlib.axes.Axes.set_navigate() function in matplotlib.axes: Example 1: Python3 1== 
# Implementation of matplotlib function
import matplotlib.pyplot as plt
from mpl_toolkits.axisartist.axislines import SubplotZero
import numpy as np
 

fig, ax = plt.subplots()
 
xx = np.arange(0, 2 * np.pi, 0.01)
ax.plot(xx, np.sin(xx))
ax.set_navigate(False)

fig.suptitle('matplotlib.axes.Axes.set_navigate() function\
 Example\n\n', fontweight ="bold")

plt.show()
Output: Example 2: Python3 1== 
# Implementation of matplotlib function
import matplotlib.pyplot as plt
import numpy as np
    

fig, (ax, ax1)= plt.subplots(1, 2)

ax.plot([1, 2, 3])
ax.grid()

ax1.plot([1, 2, 3])
ax1.grid()

ax.set_navigate(False)
ax1.set_navigate(True)

ax.set_title(" set_navigate with False")
ax1.set_title(" set_navigate with True")

fig.suptitle('matplotlib.axes.Axes.set_navigate() function\
 Example\n\n', fontweight ="bold")

plt.show()
Output: Move cursor on Axes 1: Move cursor on Axes 2:

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Matplotlib.axes.Axes.get_navigate() in Python

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