python - Calculating cosine distance between the rows of matrix -


i'm trying calculate cosine distance in python between rows in matrix , have couple questions.so i'm creating matrix matr , populating lists, reshaping analysis purposes:

s = []  in range(len(a)):     j in range(len(b_list)):         s.append(a[i].count(b_list[j]))  matr = np.array(s)  d = matr.reshape((22, 254))  

the output of d gives me smth like:

array([[0, 0, 0, ..., 0, 0, 0],        [2, 0, 0, ..., 1, 0, 0],        [2, 0, 0, ..., 0, 0, 0],        ...,         [0, 0, 0, ..., 0, 0, 0],        [0, 0, 0, ..., 0, 0, 0],        [1, 0, 0, ..., 0, 0, 0]]) 

then want use scipy.spatial.distance.cosine package calculate cosine first row every other else in d matrix. how can perform that? should loop that? not experience matrix , array operations.

so how can use loop second argument (d[1],d[2], , on) in construction not launch every time:

from scipy.spatial.distance import cosine x=cosine (d[0], d[6]) 

you can use simple loop scipy.spatial.distance.cosine:

dists = [] row in matr:     dists.append(scipy.spatial.distance.cosine(matr[0,:], row)) 

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