How to add bold annotated text in Matplotlib?

To add bold annotated text in matplotlib, we can use LaTeX representation for labels.

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 insie the 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

Rishikesh Kumar Rishi

Updated on: 2021-06-03T12:31:26+05:30

2K+ Views

Kickstart Your Career

Get certified by completing the course

Get Started