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How to customize X-axis ticks in Matplotlib?
To customize X-axis ticks in Matplotlib, we can change the ticks length and width.
Steps
- Set the figure size and adjust the padding between and around the subplots.
- Create lists for height, bars and y_pos data points.
- Make a bar plot using bar() method.
- To customize X-axis ticks, we can use tick_params() method, with color=red, direction=outward, length=7, and width=2.
- 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
height = [3, 12, 5, 18, 45]
bars = ('A', 'B', 'C', 'D', 'E')
y_pos = np.arange(len(bars))
plt.bar(y_pos, height, color='yellow')
plt.tick_params(axis='x', colors='red', direction='out', length=7, width=2)
plt.show()Output
Updated on: 10-Jun-2021
3K+ Views
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