def normalize ( X ) : X = coo_matrix ( X ) X . data = X . data / sqrt ( bincount ( X . row , X . data ** 2 ) ) [ X . row ] return X
normalize each row of matrix python
equivalent to scipy . preprocessing . normalize on sparse matrices but lets avoid another depedency just for a small utility function
def normalize(X):
    """ equivalent to scipy.preprocessing.normalize on sparse matrices
    , but lets avoid another depedency just for a small utility function """
    X = coo_matrix(X)
    X.data = X.data / sqrt(bincount(X.row, X.data ** 2))[X.row]
    return X