/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

17 votes121 views6 answers
Install flask
Python
0 vote112 views1 answer
Connect a mean value to histogram pandas
Python
1 vote99 views1 answer
How to access items in a list
Python
0 vote119 views2 answers
Bar plot group by pandas
Python
0 vote116 views1 answer
Webdriver antibot
Python
1 vote151 views1 answer
Python multiple conditions in dataframe column values
Python
1 vote112 views1 answer
Print(DATA.popitem())
Python
26 votes106 views1 answer
Dictionary from two lists
Python
1 vote112 views1 answer
Stop procedure python
Python
29 votes110 views2 answers
Python 1 second delay
Python