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How to annotate a range of the X-axis in Matplotlib?
To annotate a range of the X-axis in matplotlib, we can take the following steps −
- Set the figure size and adjust the padding between and around the subplots.
- Create xx and yy data points using numpy.
- Create a figure and a set of subplots.
- Plot xx and yy data points using plot() method.
- Set ylim of the axis.
- Use annotate method to place arrow heads and range tag name.
- To display the figure, use show() method.
Example
import matplotlib.pyplot as plt
import numpy as np
plt.rcParams["figure.figsize"] = [7.50, 3.50]
plt.rcParams["figure.autolayout"] = True
xx = np.linspace(0, 10)
yy = np.sin(xx)
fig, ax = plt.subplots(1, 1)
ax.plot(xx, yy)
ax.set_ylim([-2, 2])
ax.annotate('', xy=(5,2), xytext=(8,2),
xycoords='data', textcoords='data',
arrowprops={'arrowstyle': '<|-|>'}, color='yellow')
ax.annotate('Maximum Range', xy=(5,5), ha='center', va='center', color='red')
plt.show()Output
Updated on: 04-Aug-2021
1K+ Views
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