Matplotlib.axes.Axes.set_navigate_mode() 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_mode() Function

The Axes.set_navigate_mode() Function in axes module of matplotlib library is used to set the navigation toolbar button status.
Syntax: Axes.set_navigate_mode(self, b) Parameters: This method accept the following parameters.
  • b : This parameter is the navigation mode value.
Return value: This method does not returns any value.
Below examples illustrate the matplotlib.axes.Axes.set_navigate_mode() function in matplotlib.axes: Example 1: Python3 1== 
# Implementation of matplotlib function
import numpy as np
import matplotlib.pyplot as plt
np.random.seed(19680801)
  
fig, ax = plt.subplots()
  
x, y, s, c = np.random.rand(4, 200)
s *= 200
  
ax.scatter(x, y, s, c)
ax.set_navigate_mode("ZOOM")
 
ax.set_title('matplotlib.axes.Axes.set_navigate_mode()\
 function Example', fontweight ="bold")

ax.grid()
   
plt.show()
Output: Example 2: Python3 1== 
# Implementation of matplotlib function
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
  
t = np.arange(0.0, 2, 0.001)
s = 1 + np.sin(8 * np.pi * t)*0.4
  
fig, ax = plt.subplots()
ax.plot(t, s)

ax.set_navigate_mode("PAN")

ax.set(xlabel ='X-Axis', ylabel ='Y-Axis', 
       xlim =(0, 1.5), ylim =(0.5, 1.5))

ax.set_title('matplotlib.axes.Axes.set_navigate_mode()\
 function Example', fontweight ="bold")

ax.grid()
plt.show()
Output:

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Matplotlib.axes.Axes.set() in Python

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