Python: Uniqueness for list of lists

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慢半拍i
慢半拍i 2020-11-29 00:37

I am curious what would be an efficient way of uniquefying such data objects:

testdata =[ [\'9034968\', \'ETH\'], [\'14160113\', \'ETH\'], [\'9034968\', \'ETH         


        
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  • 2020-11-29 00:49

    I tried @Mark's answer and got an error. Converting the list and each elements into a tuple made it work. Not sure if this the best way though.

    list(map(list, set(map(lambda i: tuple(i), testdata))))
    

    Of course the same thing can be expressed using a list comprehension instead.

    [list(i) for i in set(tuple(i) for i in testdata)]
    

    I am using Python 2.6.2.

    Update

    @Mark has since changed his answer. His current answer uses tuples and will work. So will mine :)

    Update 2

    Thanks to @Mark. I have changed my answer to return a list of lists rather than a list of tuples.

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  • 2020-11-29 00:49

    if you have a list of objects than you can modify @Mark Byers answer to:

    unique_data = [list(x) for x in set(tuple(x.testList) for x in testdata)]
    

    where testdata is a list of objects which has a list testList as attribute.

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  • 2020-11-29 00:52

    Use unique in numpy to solve this:

    import numpy as np
    
    np.unique(np.array(testdata), axis=0)
    

    Note that the axis keyword needs to be specified otherwise the list is first flattened.

    Alternatively, use vstack:

    np.vstack({tuple(row) for row in testdata})
    
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  • 2020-11-29 00:55

    Expanding a bit on @Mark Byers solution, you can also just do one list comprehension and typecast to get what you need:

    testdata = list(set(tuple(x) for x in testdata))
    

    Also, if you don't like list comprehensions as many find them confusing, you can do the same in a for loop:

    for i, e in enumerate(testdata):
        testdata[i] = tuple(e)
    testdata = list(set(testdata))
    
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  • 2020-11-29 01:00

    You can use a set:

    unique_data = [list(x) for x in set(tuple(x) for x in testdata)]
    

    You can also see this page which benchmarks a variety of methods that either preserve or don't preserve order.

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  • 2020-11-29 01:02
    import sets
    testdata =[ ['9034968', 'ETH'], ['14160113', 'ETH'], ['9034968', 'ETH'], ['11111', 'NOT'], ['9555269', 'NOT'], ['15724032', 'ETH'], ['15481740', 'ETH'], ['15481757', 'ETH'], ['15481724', 'ETH'], ['10307528', 'ETH'], ['15481757', 'ETH'], ['15481724', 'ETH'], ['15481740', 'ETH'], ['15379365', 'ETH'], ['11111', 'NOT'], ['9555269', 'NOT'], ['15379365', 'ETH']]
    conacatData = [x[0] + x[1] for x in testdata]
    print conacatData
    uniqueSet = sets.Set(conacatData)
    uniqueList = [ [t[0:-3], t[-3:]] for t in uniqueSet]
    print uniqueList
    
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