How to use matplotlib's "scatter" function. python

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Release date:2023/2/22　　　　　　　　　

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■Description of the scatter function

Draw a scatterplot.

■Specific example using scatter function

import numpy as np
import matplotlib.pyplot as plt

x = np.random.rand(10) #Generate an array of random numbers
y = np.random.rand(10)

plt.scatter(x, y) #Draw a scatterplot
plt.show()

The results are as follows.

■Difference between "scatter" and "plot"

A matplotlib function similar to scatter is "plot". plot is a graph drawing function that can also draw scatterplots. Change the above program as follows.

plt.scatter(x, y) #change as follows
↓↓↓
plt.plot(x, y, "o")

You should be able to draw a scatterplot similar to the one above. The advantage of scatter is that you can make more detailed settings than "plot". For example:

"s"：size
"c"：color
"alpha"：transmittance
"edgecolors"：edge color
"marker"：marker shape

plt.scatter(x, y, s=300, c="red", alpha=0.5,edgecolors="blue", marker="^")