/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

14 votes137 views3 answers
Minimum and max value in all columns pandas
Python
0 vote131 views2 answers
Converting pandas._libs.tslibs.timedeltas.Timedelta to days
Python
0 vote128 views1 answer
Pandas cartesian product
Python
1 vote132 views1 answer
What is nea in python
Python
3 votes112 views2 answers
Python generators
Python
2 votes143 views1 answer
Creating a new folder in python
Python
94 votes128 views6 answers
For in python
Python
0 vote134 views1 answer
Plot circles in matplotlib
Python
1 vote127 views3 answers
Create list of days python
Python
1 vote123 views1 answer
Create alinked list inb pyhton
Python