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
