pythonのscikit-lern で疎行列の標準化

プログラム
参考:
http://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.normalize.html
$ cat normal_test.py

from scipy.sparse import lil_matrix, csr_matrix
from sklearn.preprocessing import normalize

a=lil_matrix((20000,20000))
#quit()
f=open("count_wakati_1000_id.txt")


h={}

h2={}
w={}



a[1,1]=3
a[1,2]=4
a[1,3]=4
a[2,5]=6
y=normalize(a,norm='l2',axis=1)
print a
print y

quit()
#exit()
#exit

出力
python normal_test.py

(1, 1) 3.0
(1, 2) 4.0
(1, 3) 4.0
(2, 5) 6.0
(1, 1) 0.468521285666
(1, 2) 0.624695047554
(1, 3) 0.624695047554
(2, 5) 1.0