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

68 votes353 views6 answers
Python clear console
Python
4 votes378 views2 answers
Python read array line by line
Python
32 votes352 views2 answers
Drop if nan in column pandas
Python
0 vote345 views1 answer
Python pandas rellenar con ceros a la izquierda
Python
2 votes349 views1 answer
Why is python hard
Python
0 vote322 views1 answer
Python autocorrelation plot
Python
1 vote351 views1 answer
Green fuel
Python
1 vote344 views1 answer
Pandas drop column by index range
Python
0 vote330 views1 answer
Python create a grid of points
Python
23 votes372 views3 answers
How to print a random part of a list in python
Python