Splitting a list of dictionaries into several lists of dictionaries

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刺人心
刺人心 2020-12-15 06:25

I\'ve been whacking away at this for a while to no avail... Any help would be greatly appreciated.

I have:

[{\'event\': 0, \'voltage\': 1, \'time\':         


        
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  • 2020-12-15 07:02

    I think what you really want is to filter them:

    elist = [{'event': 0, 'voltage': 1, 'time': 0},
    {'event': 0, 'voltage': 2, 'time': 1},
    {'event': 1, 'voltage': 1, 'time': 2},
    {'event': 1, 'voltage': 2, 'time': 3},
    {'event': 2, 'voltage': 1, 'time': 4},
    {'event': 2, 'voltage': 2, 'time': 5}]
    
    
    from itertools import ifilter
    
    def get_events(elist, n):
        return ifilter( lambda d: d['event'] == n , elist)
    
    for e in get_events(elist,0):
        print e
    

    this solution will not create additional structures. (think in case of HUGE event list)

    Another very nice solution is to use groupby:

    from itertools import groupby
    from operator import itemgetter
    for group in groupby(elist, itemgetter('event')):
        id, event_list = group
        for e in event_list:
            print e
    
    {'time': 0, 'event': 0, 'voltage': 1}
    {'time': 1, 'event': 0, 'voltage': 2}
    {'time': 2, 'event': 1, 'voltage': 1}
    {'time': 3, 'event': 1, 'voltage': 2}
    {'time': 4, 'event': 2, 'voltage': 1}
    {'time': 5, 'event': 2, 'voltage': 2}
    
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  • 2020-12-15 07:08

    use defaultdict

    import collections
    
    result = collections.defaultdict(list)
    
    for d in dict_list:
        result[d['event']].append(d)
    
    result_list = result.values()        # Python 2.x
    result_list = list(result.values())  # Python 3
    

    This way, you don't have to make any assumptions about how many different events there are or if there are any events missing.

    This gives you a list of lists. If you want a dict indexed by event, I would probably use dict(d) if you plan on doing any random access.

    As far as constructing a bunch of individual lists, I think that that's a bad idea. It will necessitate creating them as globals or using eval (or getting hacky in some other way) unless you know exactly how many there are going to be which you claim not to. It's best to just keep them in a container.

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  • 2020-12-15 07:08
    dict_list = [{'event': 0, 'voltage': 1, 'time': 0},
    {'event': 0, 'voltage': 2, 'time': 1},
    {'event': 1, 'voltage': 1, 'time': 2},
    {'event': 1, 'voltage': 2, 'time': 3},
    {'event': 2, 'voltage': 1, 'time': 4},
    {'event': 2, 'voltage': 2, 'time': 5},
    ]
    
    import collections
    dol = collections.defaultdict(list)
    for d in dict_list:
       k = d["event"]
       dol[k].append(d)
    
    print dol
    

    if you know that your "event" keys are consecutive zero-based integers, you can use a list instead, but the extra complexity may not gain you anything.

    defaultdict was added in python 2.5, but the workaround for earlier versions is not hard (see Nick D's code).

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  • 2020-12-15 07:23

    This one is O(n log n) because of the sort, but I wouldn't worry too much unless there are a lot of items in the list.

    It the list is already sorted by event, you can skip the sort of course.

    >>> from operator import itemgetter
    >>> from itertools import groupby
    >>> d=[{'event': 0, 'voltage': 1, 'time': 0},
    ... {'event': 0, 'voltage': 2, 'time': 1},
    ... {'event': 1, 'voltage': 1, 'time': 2},
    ... {'event': 1, 'voltage': 2, 'time': 3},
    ... {'event': 2, 'voltage': 1, 'time': 4},
    ... {'event': 2, 'voltage': 2, 'time': 5}]
    >>> groupby(sorted(d, key=itemgetter('event')), key=itemgetter('event'))
    <itertools.groupby object at 0xb78138c4>
    >>> for x in _:
    ...   print x[0], list(x[1])
    ... 
    0 [{'time': 0, 'event': 0, 'voltage': 1}, {'time': 1, 'event': 0, 'voltage': 2}]
    1 [{'time': 2, 'event': 1, 'voltage': 1}, {'time': 3, 'event': 1, 'voltage': 2}]
    2 [{'time': 4, 'event': 2, 'voltage': 1}, {'time': 5, 'event': 2, 'voltage': 2}]
    
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  • 2020-12-15 07:24

    A simple implementation will suffice in my opinion:

    grouping = {}    
    for d in dictlist:
        if d[field] not in grouping:
            grouping[d[field]] = []
        grouping[d[field]].append(d)
    result = list(result.values())
    
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