python - dot routine for scipy.sparse matrices produces error -
    i have csr matrix :   >> print type(tfidf) <class 'scipy.sparse.csr.csr_matrix'>   i want take dot product of 2 rows of csr matrix :   >> v1 = tfidf.getrow(1) >> v2 = tfidf.getrow(2) >> print type(v1) <class 'scipy.sparse.csr.csr_matrix'>   both v1  , v2  csr matrices. use dot  subroutine:   >> print v1.dot(v2)  traceback (most recent call last):   file "cosine.py", line 10, in <module>     print v1.dot(v2)   file "/usr/lib/python2.7/dist-packages/scipy/sparse/base.py", line 211, in dot     return self * other   file "/usr/lib/python2.7/dist-packages/scipy/sparse/base.py", line 246, in __mul__     raise valueerror('dimension mismatch') valueerror: dimension mismatch   they rows of same matrix, dimentions ought match:   >> print v1.shape (1, 4507) >> print v2.shape (1, 4507)   why dot  subroutine not work?   thanks.          to perform dot product of 2 row vectors, have ...