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

