Normalize numpy array

Numpy normalize

def normalize(v):
    norm = np.linalg.norm(v)
    if norm == 0: 
       return v
    return v / norm

Source: stackoverflow.com

Normalize numpy array

 norm = np.linalg.norm(an_array_to_normalize)

    normal_array = an_array_to_normalize/norm

or for pixels to be obtained in my case. This can be used to map values to another scale from the current scale of values.

    scaled_array = (array/np.float(np.max(array)) )*255.

Source: stackoverflow.com

How to normalize a 1d numpy array

# Foe 1d array
an_array = np.array([0.1,0.2,0.3,0.4,0.5])

norm = np.linalg.norm(an_array)
normal_array = an_array/norm
print(normal_array)

#[0.2,0.4,0.6,0.8,1] (Should be, I didin't run the code)

-1

Similar codes

33 votes217 views4 answers
How to install pyaudio
Python
5 votes199 views3 answers
Python is not
Python
2 votes201 views1 answer
Python check if string is in input
Python
0 vote196 views1 answer
Python draw rectangle on image
Python
0 vote228 views1 answer
How to convert a dense matrix into sparse matrix in python
Python
0 vote200 views1 answer
Python enumerate()
Python
1 vote202 views1 answer
ImportError: cannot import name 'TFAutoModel' from 'transformers'
Python
0 vote238 views1 answer
Acticating virtual environment
Python
5 votes207 views5 answers
How to take space separated input in python
Python
0 vote202 views1 answer
Icon tkiner
Python