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

24 votes326 views2 answers
How to search for element in list python
Python
2 votes297 views2 answers
Python list to string without brackets
Python
0 vote317 views2 answers
Python sort isdigit
Python
25 votes319 views2 answers
Copy text to clipboard python
Python
0 vote296 views1 answer
Find each geometry overlap python
Python
9 votes257 views8 answers
Python get first element from list
Python
0 vote316 views1 answer
Flow of control in python
Python
10 votes289 views9 answers
Google traduction
Python
11 votes299 views5 answers
Convert dataframe column to float
Python
11 votes281 views2 answers
Show more rows pandas
Python