Matplotlib.axes.Axes.set_navigate() in Python

Matplotlib.axes.Axes.get_navigate_mode() 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.get_navigate_mode() Function

The Axes.get_navigate_mode() Function in axes module of matplotlib library is used to get the navigation toolbar button status: 'PAN', 'ZOOM', or None.

Syntax: Axes.get_navigate_mode(self) Parameters: This method does not accept any parameters. Return value: This method returns navigation mode.

Below examples illustrate the matplotlib.axes.Axes.get_navigate_mode() function in matplotlib.axes: Example 1:

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)

w = ax.get_navigate_mode()

ax.text(0.5, 1.43, "Navigate Mode : " + str(w), 
        fontweight ="bold")

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

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

ax.grid()
plt.show()

Output:

Example 2:

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")
w = ax.get_navigate_mode()

ax.text(0.3, .65, "Navigate Mode : " + str(w), 
        fontweight ="bold")

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

ax.grid()
plt.show()

Output:

Matplotlib.axes.Axes.set_navigate() in Python

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