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