Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. It is an amazing visualization library in Python for 2D plots of arrays and used for working with the broader SciPy stack.
Matplotlib.axis.Axis.pan() Function
The Axis.pan() function in axis module of matplotlib library is used to Pan by numsteps.
Syntax: Axis.pan(self, numsteps)
Parameters: This method accepts the following parameters.
- numsteps: This parameter is the value(positive or negative).
Return value: This method does not return any value.
Below examples illustrate the matplotlib.axis.Axis.pan() function in matplotlib.axis:
Example 1:
Python3
# Implementation of matplotlib function from matplotlib.axis import Axis import matplotlib.pyplot as plt import numpy as np fig, ax = plt.subplots() ax.plot([1, 2, 3]) ax.xaxis.pan(3) ax.grid() fig.suptitle("""matplotlib.axis.Axis.pan() function Example\n""", fontweight ="bold") plt.show() |
Output:
Example 2:
Python3
# Implementation of matplotlib function from matplotlib.axis import Axis 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.xaxis.pan(-2) ax1.grid() fig.suptitle("""matplotlib.axis.Axis.pan() function Example\n""", fontweight ="bold") plt.show() |
Output:
