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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
Updated on: 04-Aug-2021
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