Annotate Several Points with One Text in Matplotlib

To add annotated text in Matplotlib for several points, we can take the following steps −

• Set the figure size and adjust the padding between and around the subplots.
• Create x and y data points using numpy.
• To set the label for each scattered point, make a list of labels.
• Plot xpoints, ypoints using scatter() method. For color, use xpoints.
• Iterate zipped labels, xpoints and ypoints.
• Use annotate() method with bold LaTeX representation in a for loop.
• 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

xpoints = np.linspace(1, 10, 10)
ypoints = np.random.rand(10)

labels = ["%.2f" % i for i in xpoints]

plt.scatter(xpoints, ypoints, c=xpoints)

for label, x, y in zip(labels, xpoints, ypoints):
   plt.annotate(
      f"$\bf{label}$",
      xy=(x, y), xytext=(-20, 20),
      textcoords='offset points', ha='center', va='bottom',
      arrowprops=dict(arrowstyle='->', connectionstyle='arc3,rad=0'))

plt.show()

Output