Dear Community,
I have an issue with numpy consuming more and more memory.
According to ticket: http://projects.scipy.org/numpy/ticket/1427
This is a known issue. It should be fixed in 2.0.0.dev-9451260. What does this
mean? It sound like a development release.
Is there any chance to fix it in 1
Hi,
Thanks for the two solutions.
Indeed, there are much faster than the brute force method using in.
The setmember1d is deprecate din newer python releases, therefore I already
switched to in1d().
(Thanks Josef.)
Andreas
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NumPy-Discussion mailing
Hi,
I need to create a construct that returns the index of entries of the first
list, if values in the first and second list are equal.
Take
valA = [1,2,3,4,20,21,22,23,24]
valB = [1,2,3,4, 5,21,22,23]
The correct solution is: [0,1,2,3,5,6,7]
A potential loop can be:
takeList=[]
for j,a in enu
