How to add bold annotated text in Matplotlib?

MatplotlibPythonData Visualization

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

raja
Published on 03-Jun-2021 12:30:15
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