How to Annotate a Scatter Plot with Individual Data Point Text Values?

Scatter Plot with Individual Data Point Text Annotations

Question:

How can I create a scatter plot and annotate each data point with a specific text value from a given list?

Example:

Given the following data:

y = [2.56422, 3.77284, 3.52623, 3.51468, 3.02199]
x = [0.15, 0.3, 0.45, 0.6, 0.75]
n = [58, 651, 393, 203, 123]

Can I generate a scatter plot of y vs x and annotate each point with the corresponding value from n?

Answer:

Since there is no direct plotting method that supports annotating data points with text from a list, an alternative approach is to use the annotate() method:

import matplotlib.pyplot as plt

x = [0.15, 0.3, 0.45, 0.6, 0.75]
y = [2.56422, 3.77284, 3.52623, 3.51468, 3.02199]
n = [58, 651, 393, 203, 123]

fig, ax = plt.subplots()
ax.scatter(x, y)

for i, txt in enumerate(n):
    ax.annotate(txt, (x[i], y[i]))

plt.show()

This code creates a scatter plot and iterates over the text values in the n list, annotating each data point with the corresponding value.

Formatting Options:

Matplotlib provides various formatting options for annotations, including:

• Text color and size
• Background color and shape
• Arrow style and position
• Alignment and rotation

For more information on formatting options, refer to the Matplotlib documentation:

[https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.annotate.html](https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.annotate.html)

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