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How can I dynamically update my Matplotlib figure as the data file changes?
To update a Matplotlib figure as the data file changes, we can take the following steps −
- Set the figure size and adjust the padding between and around the subplots.
- Initialize variables m and n, to get a set of subplots.
- Create a list of colors, to plot color dynamically.
- Plot dynamic data points using plot() method with random data points.
- To display the figure, use show() method.
Example
import numpy as np import matplotlib.pyplot as plt import random plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True m = 2 n = 4 fix, axes = plt.subplots(nrows=m, ncols=n) hexadecimal_alphabets = '0123456789ABCDEF' color = ["#" + ''.join([random.choice(hexadecimal_alphabets) for j in range(6)]) for i in range(m*n)] for i in range(m): for j in range(n): axes[i][j].clear() axes[i][j].plot(np.random.rand(10), np.random.rand(10), color=color[100 % np.random.randint(1, len(color))]) plt.pause(0.1) plt.show()
Output
Updated on: 16-Jun-2021
2K+ Views
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