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。