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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
Updated on: 10-Jun-2021
3K+ Views
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