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How to customize the X-axis in Matplotlib?
To customize the X-axis label, we can take the following steps −
- Set the figure size and adjust the padding between and around the subplots.
- Initialize a variable, N, to get the number of sample data.
- Create x and y data points using numpy
- Plot x and y data points using plot() method.
- Customize the X-axis labels with fontweight, color, fontsize, and alignment.
- To display the figure, use show() method.
Example
import numpy as np import matplotlib.pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True N = 100 x = np.random.rand(N) y = np.random.rand(N) plt.plot(x, y, 'r*') plt.xlabel('X-axis Label', fontweight='bold', color='orange', fontsize='17', horizontalalignment='center') plt.show()
Output
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