Normalize rows in matrix numpy

def normalize_rows(x: numpy.ndarray):
    """
    function that normalizes each row of the matrix x to have unit length.

    Args:
     ``x``: A numpy matrix of shape (n, m)

    Returns:
     ``x``: The normalized (by row) numpy matrix.
    """
    return x/numpy.linalg.norm(x, ord=2, axis=1, keepdims=True)

Source: necromuralist.github.io

Similar codes

2 votes129 views2 answers
How to make a latency command in discord py
Python
0 vote125 views1 answer
Django custome login
Python
1 vote179 views1 answer
Use django taggit in template
Python Django
0 vote89 views1 answer
Tkinter fixed window size
Python
0 vote174 views1 answer
How to get cube root python
Python
0 vote127 views1 answer
Brainf**k Interpreter in Python
Python
2 votes134 views1 answer
Why is python hard
Python
0 vote147 views1 answer
Voting classifier grid search
Python
0 vote160 views1 answer
Conda install nltk
Python
0 vote152 views1 answer
Check if there is a certain number difference with python
Python