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

0 vote293 views1 answer
Python launch ipython from script
Python
1 vote255 views3 answers
Value list in django
Python
5 votes267 views2 answers
2 numbers after comma python
Python
0 vote275 views1 answer
Why wont my python input accept string inputs
Python
0 vote254 views1 answer
Pandas filter on range of values
Python
8 votes249 views2 answers
Implement a binary search of a sorted array of integers Using pseudo-code.
Python
15 votes263 views2 answers
'jupyter' is not recognized as an internal or external command, operable program or batch file.
Python
0 vote256 views1 answer
Timeout python
Python
0 vote259 views1 answer
How to add new column in django
Python
0 vote256 views1 answer
Python excel zelle schreiben
Python