Article Categories
- All Categories
-
Data Structure
-
Networking
-
RDBMS
-
Operating System
-
Java
-
MS Excel
-
iOS
-
HTML
-
CSS
-
Android
-
Python
-
C Programming
-
C++
-
C#
-
MongoDB
-
MySQL
-
Javascript
-
PHP
Selected Reading
Updating the X-axis values using Matplotlib animation
To update the X-axis values using Matplotlib animation, we can take the following steps −
- Set the figure size and adjust the padding between and around the subplots.
- Create a figure and a set of subplots.
- Create x and y data points using numpy.
- Plot x and y data points using plot method on axis (ax).
- Make an animation by repeatedly calling a function animate that sets the X-axis value as per the frame.
- To display the figure, use show() method.
Example
import matplotlib.pylab as plt import matplotlib.animation as animation import numpy as np plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True fig, ax = plt.subplots() x = np.linspace(0, 15, 100) y = np.sin(x) ax.plot(x, y, lw=7) def animate(frame): ax.set_xlim(left=0, right=frame) ani = animation.FuncAnimation(fig, animate, frames=10) plt.show()
Output


Advertisements
