/Python/Np.apply_along_axis third dimension python

Np.apply_along_axis third dimension python

In [131]: A = np.random.randint(0,255,(512,512,3)) # 512x512 colored image

In [132]: def org_app(A):
     ...:     out = np.zeros(A.shape)     
     ...:     for i in range(A.shape[0]):
     ...:         for j in range(A.shape[1]):
     ...:             out[i,j] = chromaticity(A[i,j])
     ...:     return out
     ...: 

In [133]: %timeit org_app(A)
1 loop, best of 3: 5.99 s per loop

In [134]: %timeit np.apply_along_axis(chromaticity, 2, A) #@hpaulj's soln
1 loop, best of 3: 9.68 s per loop

In [135]: %timeit np.log(A/np.power(np.sum(A,2,keepdims=True),1/3))
10 loops, best of 3: 90.8 ms per loop

Source: stackoverflow.com

Numpy apply function to array

import numpy as np

arr = np.array([1,2,3,4])
print(np.apply_along_axis(lambda x : x ** 2, 0, arr))

#Output: array([ 1,  4,  9, 16])

-1

Similar codes

0 vote153 views1 answer
Stemming words python
Python
0 vote150 views1 answer
FilePathField
Python
12 votes153 views2 answers
Python how to return max num index
Python
1 vote135 views1 answer
How to change opencv capture resolution
Python
0 vote148 views2 answers
Packet tracer 10.6.12
Python
-1 vote139 views1 answer
Exchange sort python
Python
-1 vote157 views1 answer
K means clustering python medium
Python
7 votes139 views3 answers
Python print exception type and message
Python
2 votes152 views1 answer
What does % do in python
Python
184 votes228 views6 answers
Upgrade pip
Python