How to make a scatter plot for clustering in Python?

To make a scatter plot for clustering in Python, we can take the following steps −

Set the figure size and adjust the padding between and around the subplots.
Create x and y data points, Cluster and centers using numpy.
Create a new figure or activate an existing figure.
Add a subplot arrangement to the current figure.
Plot the scatter data points using scatter() method.
Iterate centers data and place marker using scatter() method.
To display the figure, use show() method.

Example

import numpy as np
import matplotlib.pyplot as plt

plt.rcParams["figure.figsize"] = [7.00, 3.50]
plt.rcParams["figure.autolayout"] = True

x = np.random.randn(10)
y = np.random.randn(10)
Cluster = np.array([0, 1, 1, 1, 3, 2, 2, 3, 0, 2])
centers = np.random.randn(4, 2)

fig = plt.figure()
ax = fig.add_subplot(111)

scatter = ax.scatter(x, y, c=Cluster, s=50)
for i, j in centers:
   ax.scatter(i, j, s=50, c='red', marker='+')

plt.show()