Skip to main content

Merges multiple nested dicts without deleting any values (values with same keys are stored in lists)

Project description

Merges multiple nested dicts without deleting any values (values with same keys are stored in lists)

pip install dict-merger-keep-all
from pprint import pprint as pp

from dict_merger_keep_all import dict_merger



people = {

    1: {"name": "John", "age": "27", "sex": "Male"},

    2: {"name": "Marie", "age": "22", "sex": "Female"},

    3: {"name": "Luna", "age": "24", "sex": "Female"},

    4: {

        "name": "Peter",

        "age": "29",

        "sex": ["Female", "Male"],

        1: "xx",

        "sex2": ("Female", "Male"),

    },

}



people3 = {

    1: {"namexxxxxxxxx": "John", "age": "27", "sex": "Male"},

    2: {"name": "Marie", "age": "22", "sex": "Female"},

    3: {"name": "Luna", "agexxxxxxxxxx": "24", "sex": "Female"},

    4: {

        "name": "Peter",

        "age": "29",

        "sex": ["Female", "Male"],

        1: "xx",

        "sex2": ("Female", "Male"),

    },

}

people2 = {

    11: {"name": "Johnaaa", "age": "2x337", "sex": "Maleooo"},

    21: {"name": "Mariexx", "age": "22", "sex": "Female"},

    13: {"name": "Luna", "age": "24444", "sex": "Feoomale"},

    14: {

        "name": "Peter",

        "age": "29",

        "sex": ["Female", "Male"],

        111: "xx",

        "sex2": ("Female", "Male"),

    },

}

d1 = {1: {"a": "A"}, 2: {"b": "B"}}



d2 = {2: {"c": "C"}, 3: {"d": ["D", "dd", "s"]}}



dict1 = {1: {"a": 1}, 2: {"b": 2}}



dict2 = {2: {"c": 222}, 3: {"d": {3, 6}}}





data = {

    "A": [1, 2, 3],

    "B": [4, 5, 6],

    "departure": [

        {

            "actual": None,

            "actual_runway": None,

            "airport": "Findel",

            "delay": None,

            "estimated": "2020-07-07T06:30:00+00:00",

            "estimated_runway": None,

            "gate": None,

            "iata": "LUX",

            "icao": "ELLX",

            "scheduled": "2020-07-07T06:30:00+00:00",

            "terminal": None,

            "timezone": "Europe/Luxembourg",

        },

        {

            "actual": None,

            "actual_runway": None,

            "airport": "Findel",

            "delay": None,

            "estimated": "2020-07-07T06:30:00+00:00",

            "estimated_runway": None,

            "gate": None,

            "iata": "LUX",

            "icao": "ELLX",

            "scheduled": "2020-07-07T06:30:00+00:00",

            "terminal": None,

            "timezone": "Europe/Luxembourg",

        },

        {

            "actual": None,

            "actual_runway": None,

            "airport": "Findel",

            "delay": None,

            "estimated": "2020-07-07T06:30:00+00:00",

            "estimated_runway": None,

            "gate": None,

            "iata": "LUX",

            "icao": "ELLX",

            "scheduled": "2020-07-07T06:30:00+00:00",

            "terminal": None,

            "timezone": "Europe/Luxembourg",

        },

    ],

}



data2 = {"A": [4, 5, 6]}



newdict = dict_merger(people, people2, d1, d2, dict2, dict1, data, data2, people3)

pp(newdict)







{1: {'a': ['A', 1],

     'age': ['27', '27'],

     'name': 'John',

     'namexxxxxxxxx': 'John',

     'sex': ['Male', 'Male']},

 2: {'age': ['22', '22'],

     'b': ['B', 2],

     'c': ['C', 222],

     'name': ['Marie', 'Marie'],

     'sex': ['Female', 'Female']},

 3: {'age': '24',

     'agexxxxxxxxxx': '24',

     'd': ['D', 'dd', 's', 3, 6],

     'name': ['Luna', 'Luna'],

     'sex': ['Female', 'Female']},

 4: {1: ['xx', 'xx'],

     'age': ['29', '29'],

     'name': ['Peter', 'Peter'],

     'sex': ['Female', 'Male', 'Female', 'Male'],

     'sex2': ['Female', 'Male', 'Female', 'Male']},

 11: {'age': '2x337', 'name': 'Johnaaa', 'sex': 'Maleooo'},

 13: {'age': '24444', 'name': 'Luna', 'sex': 'Feoomale'},

 14: {111: 'xx',

      'age': '29',

      'name': 'Peter',

      'sex': ['Female', 'Male'],

      'sex2': ['Female', 'Male']},

 21: {'age': '22', 'name': 'Mariexx', 'sex': 'Female'},

 'A': [1, 2, 3, 4, 5, 6],

 'B': [4, 5, 6],

 'departure': {0: {'actual': None,

                   'actual_runway': None,

                   'airport': 'Findel',

                   'delay': None,

                   'estimated': '2020-07-07T06:30:00+00:00',

                   'estimated_runway': None,

                   'gate': None,

                   'iata': 'LUX',

                   'icao': 'ELLX',

                   'scheduled': '2020-07-07T06:30:00+00:00',

                   'terminal': None,

                   'timezone': 'Europe/Luxembourg'},

               1: {'actual': None,

                   'actual_runway': None,

                   'airport': 'Findel',

                   'delay': None,

                   'estimated': '2020-07-07T06:30:00+00:00',

                   'estimated_runway': None,

                   'gate': None,

                   'iata': 'LUX',

                   'icao': 'ELLX',

                   'scheduled': '2020-07-07T06:30:00+00:00',

                   'terminal': None,

                   'timezone': 'Europe/Luxembourg'},

               2: {'actual': None,

                   'actual_runway': None,

                   'airport': 'Findel',

                   'delay': None,

                   'estimated': '2020-07-07T06:30:00+00:00',

                   'estimated_runway': None,

                   'gate': None,

                   'iata': 'LUX',

                   'icao': 'ELLX',

                   'scheduled': '2020-07-07T06:30:00+00:00',

                   'terminal': None,

                   'timezone': 'Europe/Luxembourg'}}}

Project details


Release history Release notifications | RSS feed

This version

0.10

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

dict_merger_keep_all-0.10.tar.gz (5.4 kB view hashes)

Uploaded Source

Built Distribution

dict_merger_keep_all-0.10-py3-none-any.whl (6.5 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page