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

15 votes255 views3 answers
Get the current year in python
Python
9 votes275 views4 answers
Python run server
Python
0 vote298 views1 answer
Check tf verison
Python
1 vote319 views1 answer
Python lock using a file
Python
11 votes314 views3 answers
Send message to specific channel discord.py
Python
0 vote337 views1 answer
Flask mongoengine getting started
Python Flask
0 vote275 views1 answer
Python csv find specific string
Python
0 vote285 views1 answer
Python plot label value
Python
1 vote239 views1 answer
[Solved] ValueError: If using all scalar values, you must pass an index
Python
0 vote294 views1 answer
Python breadth first search
Python