| 1 | #!/usr/bin/env python3 |
| 2 | |
| 3 | import pylab as pl # permet de remplacer le nom "pylab" par "pl" |
| 4 | |
| 5 | from sklearn.datasets import load_iris # les données iris sont chargées |
| 6 | irisData = load_iris() |
| 7 | |
| 8 | X = irisData.data |
| 9 | Y = irisData.target |
| 10 | x = 0 |
| 11 | y = 1 |
| 12 | Y == 0 |
| 13 | X[Y == 0] |
| 14 | X[Y == 0][:, x] |
| 15 | pl.scatter(X[Y == 0][:, x], X[Y == 0][:, y], |
| 16 | color="red", label=irisData.target_names[0]) |
| 17 | pl.scatter(X[Y == 1][:, x], X[Y == 1][:, y], |
| 18 | color="green", label=irisData.target_names[1]) |
| 19 | pl.scatter(X[Y == 2][:, x], X[Y == 2][:, y], |
| 20 | color="blue", label=irisData.target_names[2]) |
| 21 | pl.legend() |
| 22 | pl.show() |