Delete specific values in 2-Dimension array - Numpy
Delete specific values in 2-Dimension array - Numpy
import numpy as np
I have two arrays of size n (to simplify, I use in this example n = 2):
A = array([[1,2,3],[1,2,3]])
B has two dimensions with n time a random integer: 1, 2 or 3.
Let's pretend:
B = array([[1],[3]])
What is the most pythonic way to subtract B from A in order to obtain C, C = array([2,3],[1,2]) ?
C = array([2,3],[1,2])
I tried to use np.subtract but due to the broadcasting rules I do not obtain C. I do not want to use mask or indices but element's values. I also tried to use np.delete, np.where without success.
Thank you.
np.subtract
np.delete
np.where
A
In my case, there is no duplicate. But if there is let 's say substract the first iteration.
– Tousalouest
Sep 14 '18 at 13:35
Check this link, hope it will help you out stackoverflow.com/questions/42557558/…
– JON
Sep 14 '18 at 13:36
And what if no match is found? For ex. :
B = array([[5],[3]])?– Divakar
Sep 14 '18 at 13:38
B = array([[5],[3]])
In my case, there will alway be a match.
– Tousalouest
Sep 14 '18 at 13:45
1 Answer
1
This might work and should be quite Pythonic:
dd=[[val for val in A[i] if val not in B[i]] for i in xrange(len(A))]
Thank you. It does work with 'range' instead of 'xrange'.
– Tousalouest
Sep 14 '18 at 13:44
I am still using Python2.X, therefore
xrange... Glad it worked!– msi_gerva
Sep 14 '18 at 13:46
xrange
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What if there are duplicates in any row of
A?– Divakar
Sep 14 '18 at 13:32