scipy sparse matrix: remove the rows whose all elements are zero

Question

I have a sparse matrix which is transformed from sklearn tfidfVectorier. I believe that some rows are all-zero rows. I want to remove them. However, as far as I know, the existi

Answer 1

Thanks for your reply, @perimosocordiae

I just find another solution by myself. I am posting here in case someone may need it in the future.

def remove_zero_rows(X)
    # X is a scipy sparse matrix. We want to remove all zero rows from it
    nonzero_row_indice, _ = X.nonzero()
    unique_nonzero_indice = numpy.unique(nonzero_row_indice)
    return X[unique_nonzero_indice]