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Home/ Questions/Q 1021169
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Editorial Team
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Editorial Team
Asked: May 16, 20262026-05-16T11:16:14+00:00 2026-05-16T11:16:14+00:00

In Python, the original dict list is as follows: orig = [{‘team’: ‘team1’, ‘other’:

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In Python, the original dict list is as follows:

orig = [{'team': 'team1', 'other': 'blah', 'abbrev': 't1'},
        {'team': 'team2', 'other': 'blah', 'abbrev': 't2'},
        {'team': 'team3', 'other': 'blah', 'abbrev': 't3'},
        {'team': 'team1', 'other': 'blah', 'abbrev': 't1'},
        {'team': 'team3', 'other': 'blah', 'abbrev': 't3'}]

Need to get a new dict list of just team and abbrev but of distinct teams into a list like this:

new = [{'team': 'team1', 'abbrev': 't1'},
       {'team': 'team2', 'abbrev': 't2'},
       {'team': 'team3', 'abbrev': 't3'}]
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  1. Editorial Team
    Editorial Team
    2026-05-16T11:16:15+00:00Added an answer on May 16, 2026 at 11:16 am

    dict keys are unique, which you can exploit:

    teamdict = dict([(data['team'], data) for data in t])
    new = [{'team': team, 'abbrev': data['abbrev']} for (team, data) in teamdict.items()]
    

    Can’t help to suggest that a dict might be your data structure of choice to begin with.

    Oh, I don’t know how dict() reacts to the fact that there are several identical keys in the list. You may have to construct the dictionary less pythonesque in that case:

    teamdict={}
    for data in t:
      teamdict[data['team']] = data
    

    implicitly overriding double entries

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