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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()
Output
It will produce the following output
Updated on: 19-Sep-2021
6K+ Views
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