In this tutorial, we want to compare two datasets with a Scatterplot. In order to do this, we use the scatter() function of Matplotlib.

Import Libraries

First, we import the Pyplot submodule. The Pyplot submodule contains a collection of important functions such as the plot() function or the scatter() function. In addition, we import NumPy.

import matplotlib.pyplot as plt
import numpy as np

Define Data

Now, let's define two example datasets. In order to do this, we create the following NumPy Arrays:

x1 = np.array([1, 2, 3, 4, 7])
y1 = np.array([4, 6, 10, 12, 13])

x2 = np.array([1, 4, 5, 6, 8])
y2 = np.array([3, 7, 6, 10, 14])

Scatter Plot

Now, we want to compare these two datasets. In the following, we use the scatter() function with the default configuration. The two plots are generated with different colors.



Congratulations! Now you are one step closer to become an AI Expert. You have seen that it is very easy to compare multiple datasets with a Scatterplot. We can simply use the scatterplot() function of Matplotlib. Try it yourself!


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