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

0 vote330 views1 answer
Pd.concat has nan
Python
1 vote335 views1 answer
Remove ,drop,effacer, dataframe,python
Python
0 vote334 views3 answers
How to create a login page in python
Python
18 votes356 views3 answers
How to use histogram in python
Python
-2 votes313 views4 answers
Django datepicker
Python
5 votes322 views3 answers
Get last day of month python
Python
1 vote304 views1 answer
Torchvision.transforms
Python
0 vote368 views1 answer
How to plot box plot python
Python
7 votes350 views3 answers
Python how to create dict from dataframe based on 2 columns
Python
1 vote331 views2 answers
Django create multiple objects
Python