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Changing the color of a single X-axis tick label in Matplotlib
To change the color of a single X-axis tick label in matplotlib, 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.Axes' to the figure as part of a subplot arrangement.
- Create x and y data points using numpy.
- Plot x and y data points using plot() method.
- To set the color of X-axis tick label in matplotlib, we can use tick_params() method with axis='x' and color='red'.
- To display the figure, use show() method.
Example
import numpy as np from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True fig = plt.figure() ax = fig.add_subplot(111) x = np.linspace(-10, 10, 100) y = np.sin(x) plt.plot(x, y) ax.tick_params(axis='x', colors='red') plt.show()
Output
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