Insert Statistical Annotations into Matplotlib Plots

To insert statistical annotation, we can take the following steps −

• Create lists (x and y) of numbers.

• Using subplots() method, create a figure and a set of subplots.

• Using plot() method, plot the data that contains dates with linestyle "-.".

• Annotate a point in the plot using annotate() method, mean of x and y.

• To display the figure, use show() method.

Example

import numpy as np
from matplotlib import pyplot as plt
plt.rcParams["figure.figsize"] = [7.00, 3.50]
plt.rcParams["figure.autolayout"] = True
x = np.linspace(-1, 1, 5)
y = np.linspace(-2, 2, 5)
mean_x = np.mean(x)
mean_y = np.mean(y)
fig, ax = plt.subplots()
ax.plot(x, y, linestyle='-.')
ax.annotate('*', (mean_y, mean_y), xytext=(-.50, 1), arrowprops=dict(arrowstyle='-|>'))
fig.autofmt_xdate()
plt.show()

Output