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.
In other words, I am looking for the index of the first occurence in npArray2 for every value of npArray1. for id in np.nditer(npArray1): newId=(np.where(npArray2==id))[0][0] Is there anyway I can make the above faster using numpy? 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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