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How to animate a time-ordered sequence of Matplotlib plots?
To animate a time-ordered sequence of Matplotlib plots, we can take the following steps −
- Set the figure size and adjust the padding between and around the subplots.
- Create a new figure or activate an existing figure.
- Add an axes to the figure as part of a subplot arrangement.
- Return the first recurrence after the given datetime instance using after() method.
- Write an animate() method to animate. Display the data as an image, i.e., on a 2D regular raster.
- To display the figure, use show() method.
Example
import numpy as np
import matplotlib
matplotlib.use('TkAgg')
import matplotlib.pyplot as plt
plt.rcParams["figure.figsize"] = [7.50, 3.50]
plt.rcParams["figure.autolayout"] = True
fig = plt.figure()
ax = fig.add_subplot(111)
def animate():
data = np.random.randn(5, 5)
im = plt.imshow(data, cmap="plasma")
for i in np.arange(1, 100):
data = np.random.randn(5, 5)
im.set_data(data)
fig.canvas.draw()
win = fig.canvas.manager.window
fig.canvas.manager.window.after(10, animate)
plt.show()Output
Updated on: 05-Jun-2021
541 Views
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