from matplotlib import pyplot as plt

from sklearn.datasets import load_iris

import numpy as np

data=load_iris()

feature_names=data['featrue_names']

target=data['target']

for t.marker,c in zip(xrange(3),">ox","rgb"):

    plt.scatter(feature[target==t,0],

    feature[target==t,1],

    marker=marker,

    c=c)

运行报错：

Traceback (most recent call last):

File "D:/Python27/data_iris.py", line 2, in <module>

from sklearn.datasets import load_iris

File "D:\Python27\lib\site-packages\scikit_learn-0.15.2-py2.7-win-amd64.egg\sklearn\__init__.py", line 38, in <module>

from .base import clone

File "D:\Python27\lib\site-packages\scikit_learn-0.15.2-py2.7-win-amd64.egg\sklearn\base.py", line 10, in <module>

from scipy import sparse

File "D:\Python27\lib\site-packages\scipy\sparse\__init__.py", line 182, in <module>

from .csr import *

File "D:\Python27\lib\site-packages\scipy\sparse\csr.py", line 15, in <module>

from .sparsetools import csr_tocsc, csr_tobsr, csr_count_blocks, \

File "D:\Python27\lib\site-packages\scipy\sparse\sparsetools\__init__.py", line 5, in <module>

from .csr import *

File "D:\Python27\lib\site-packages\scipy\sparse\sparsetools\csr.py", line 26, in <module>

_csr = swig_import_helper()

File "D:\Python27\lib\site-packages\scipy\sparse\sparsetools\csr.py", line 22, in swig_import_helper

_mod = imp.load_module('_csr', fp, pathname, description)

ImportError: DLL load failed: %1 不是有效的 Win32 应用程序。