How Can I Add Custom Text Labels to Data Points in a Matplotlib Scatter Plot?

Customizing Text Labels on Scatter Plot Data Points

When creating a scatter plot, it is often useful to annotate data points with additional information. This can be particularly helpful for distinguishing between points that may be clustered together. One common scenario is the need to display different numbers at each data point, which can be achieved using the annotate() function.

Consider the following dataset:

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]

To create a scatter plot with corresponding numbers annotated at each point:

import matplotlib.pyplot as plt

fig, ax = plt.subplots()

# Plot scatter points
ax.scatter(x, y)

# Annotate points with corresponding numbers
for i, txt in enumerate(n):
    ax.annotate(txt, (x[i], y[i]))

# Display plot
plt.show()

The annotate() function takes the text to be displayed, followed by the coordinates of the data point. It offers various formatting options, including font size, color, and alignment. You can refer to the Matplotlib documentation for more details.

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