3 # -*- coding: utf-8 -*-
6 from sklearn
.datasets
import load_iris
12 colors
= ["red", "green", "blue"]
17 pl
.scatter(X
[Y
== i
][:, x
], X
[Y
== i
][:, y
], color
=colors
[i
],
18 label
=irisData
.target_names
[i
])
20 pl
.xlabel(irisData
.feature_names
[x
])
21 pl
.ylabel(irisData
.feature_names
[y
])
22 pl
.title(u
"Données Iris - dimension des sépales uniquement")
28 pl
.scatter(X
[Y
== i
][:, x
], X
[Y
== i
][:, y
], color
=colors
[i
],
29 label
=irisData
.target_names
[i
])
31 pl
.xlabel(irisData
.feature_names
[x
])
32 pl
.ylabel(irisData
.feature_names
[y
])
33 pl
.title(u
"Données Iris - dimension des pétales uniquement")
39 pl
.scatter(X
[Y
== i
][:, x
], X
[Y
== i
][:, y
], color
=colors
[i
],
40 label
=irisData
.target_names
[i
])
42 pl
.xlabel(irisData
.feature_names
[x
])
43 pl
.ylabel(irisData
.feature_names
[y
])
44 pl
.title(u
"Données Iris - dimension des sépales et pétales")
50 pl
.scatter(X
[Y
== i
][:, x
], X
[Y
== i
][:, y
], color
=colors
[i
],
51 label
=irisData
.target_names
[i
])
53 pl
.xlabel(irisData
.feature_names
[x
])
54 pl
.ylabel(irisData
.feature_names
[y
])
55 pl
.title(u
"Données Iris - dimension des sépales et pétales")
61 pl
.scatter(X
[Y
== i
][:, x
], X
[Y
== i
][:, y
], color
=colors
[i
],
62 label
=irisData
.target_names
[i
])
64 pl
.xlabel(irisData
.feature_names
[x
])
65 pl
.ylabel(irisData
.feature_names
[y
])
66 pl
.title(u
"Données Iris - dimension des sépales et pétales")
72 pl
.scatter(X
[Y
== i
][:, x
], X
[Y
== i
][:, y
], color
=colors
[i
],
73 label
=irisData
.target_names
[i
])
75 pl
.xlabel(irisData
.feature_names
[x
])
76 pl
.ylabel(irisData
.feature_names
[y
])
77 pl
.title(u
"Données Iris - dimension des sépales et pétales")