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.
Thanks a lot for your help,
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