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quantra-go-algo/Visualise_Classes.py Secret

Created December 27, 2023 07:28
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Visualise_Classes.py
iris_X = iris_data.iloc[:, [0, 1, 2,3]].values
iris_Y = iris_data.iloc[:,4].values
import matplotlib.pyplot as plt
plt.figure(figsize=(10, 7))
plt.scatter(iris_X[iris_Y == 0, 0], iris_X[iris_Y == 0, 1], s=100, c='blue', label='Type 1')
plt.scatter(iris_X[iris_Y == 1, 0], iris_X[iris_Y == 1, 1], s=100, c='yellow', label='Type 2')
plt.scatter(iris_X[iris_Y == 2, 0], iris_X[iris_Y == 2, 1], s=100, c='green', label='Type 3')
plt.legend()
plt.xlabel('Sample Index')
plt.ylabel('Euclidean Distance')
plt.show()
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