How to annotate the points on a scatter plot with automatically placed arrows in Matplotlib?

MatplotlibServer Side ProgrammingProgramming

To annotate the point on a scatter plot with automatically placed arrows, we can take the following steps −

  • Create points for x and y using numpy.

  • Create labels using xpoints.

  • Use scatter() method to scatter the points.

  • Iterate labels, xpoints and ypoints and annotate plot with label, x and y with different properties.

  • To display the figure, use show() method.

Example

import numpy as np
from matplotlib import pyplot as plt
plt.rcParams["figure.figsize"] = [7.00, 3.50]
plt.rcParams["figure.autolayout"] = True
xpoints = np.linspace(1, 10, 25)
ypoints = np.random.rand(25)
labels = ["%.2f" % i for i in xpoints]
plt.scatter(xpoints, ypoints, c=xpoints)
for label, x, y in zip(labels, xpoints, ypoints):
   plt.annotate(
      label,
      xy=(x, y), xytext=(-20, 20),
      textcoords='offset points', ha='right', va='bottom',
      bbox=dict(boxstyle='round,pad=0.5', fc='yellow', alpha=0.5),
      arrowprops=dict(arrowstyle='->', connectionstyle='arc3,rad=0')
   )
plt.show()

Output

raja
Published on 08-May-2021 08:48:52
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