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| From | Peter Otten <__peter__@web.de> |
| Newsgroups | comp.lang.python |
| Subject | Re: looping and searching in numpy array |
| Date | Thu, 10 Mar 2016 14:02:25 +0100 |
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| Lines | 36 |
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Heli wrote:
> Dear all,
>
> I need to loop over a numpy array and then do the following search. The
> following is taking almost 60(s) for an array (npArray1 and npArray2 in
> the example below) with around 300K values.
>
>
> for id in np.nditer(npArray1):
>
> newId=(np.where(npArray2==id))[0][0]
>
>
> Is there anyway I can make the above faster? I need to run the script
> above on much bigger arrays (50M). Please note that my two numpy arrays in
> the lines above, npArray1 and npArray2 are not necessarily the same size,
> but they are both 1d.
You mean you are looking for the index of the first occurence in npArray2
for every value of npArray1?
I don't know how to do this in numpy (I'm not an expert), but even basic
Python might be acceptable:
lookup = {}
for i, v in enumerate(npArray2):
if v not in lookup:
lookup[v] = i
for v in npArray1:
print(lookup.get(v, "<not found>"))
That way you iterate once (in Python) instead of 2*len(npArray1) times (in
C) over npArray2.
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looping and searching in numpy array Heli <hemla21@gmail.com> - 2016-03-10 03:43 -0800
Re: looping and searching in numpy array Peter Otten <__peter__@web.de> - 2016-03-10 14:02 +0100
Re: looping and searching in numpy array Heli <hemla21@gmail.com> - 2016-03-10 08:48 -0800
Re: looping and searching in numpy array Heli <hemla21@gmail.com> - 2016-03-10 08:50 -0800
RE: looping and searching in numpy array Albert-Jan Roskam <sjeik_appie@hotmail.com> - 2016-03-13 13:51 +0000
RE: looping and searching in numpy array Albert-Jan Roskam <sjeik_appie@hotmail.com> - 2016-03-13 15:43 +0000
Re: looping and searching in numpy array Mark Lawrence <breamoreboy@yahoo.co.uk> - 2016-03-10 13:22 +0000
Re: looping and searching in numpy array srinivas devaki <mr.eightnoteight@gmail.com> - 2016-03-14 10:19 +0530
Re: looping and searching in numpy array Oscar Benjamin <oscar.j.benjamin@gmail.com> - 2016-03-14 15:22 +0000
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