a-pandas-ex-enumerate-groups


Namea-pandas-ex-enumerate-groups JSON
Version 0.12 PyPI version JSON
download
home_pagehttps://github.com/hansalemaos/a_pandas_ex_enumerate_groups
SummaryGroups values in a column of a DataFrame and enumerates them
upload_time2022-12-17 17:46:07
maintainer
docs_urlNone
authorJohannes Fischer
requires_python
licenseMIT
keywords pandas dataframe groups enumerate
VCS
bugtrack_url
requirements pandas
Travis-CI No Travis.
coveralls test coverage No coveralls.
            
# Groups values in a column of a DataFrame and enumerates them



```python

pip install a-pandas-ex-enumerate_groups 

```





```python



from a_pandas_ex_enumerate_groups import pd_add_enumerate_group

pd_add_enumerate_group()

import pandas as pd



df = pd.read_csv(

    "https://raw.githubusercontent.com/pandas-dev/pandas/main/doc/data/titanic.csv"

)

dfi = df.ds_enumerate_groups(

     enumerated_column="Age_enu", column_to_enumerate="Age"

)

print(dfi[:20].to_string())

dfi = df.ds_enumerate_groups( enumerated_column="Cabin_en", column_to_enumerate="Cabin"

)

print(dfi[:20].to_string())

dfi = df.ds_enumerate_groups( enumerated_column="Fare_en", column_to_enumerate="Fare"

)



print(dfi[:20].to_string())





     PassengerId  Survived  Pclass                             Name     Sex   Age  SibSp  Parch           Ticket      Fare    Cabin Embarked Age_enu

803          804         1       3  Thomas, Master. Assad Alexander    male  0.42      0      1             2625    8.5167      NaN        C       0

755          756         1       2        Hamalainen, Master. Viljo    male  0.67      1      1           250649   14.5000      NaN        S       1

644          645         1       3           Baclini, Miss. Eugenie  female  0.75      2      1             2666   19.2583      NaN        C       2

469          470         1       3    Baclini, Miss. Helene Barbara  female  0.75      2      1             2666   19.2583      NaN        C       2

78            79         1       2    Caldwell, Master. Alden Gates    male  0.83      0      2           248738   29.0000      NaN        S       3

831          832         1       2  Richards, Master. George Sibley    male  0.83      1      1            29106   18.7500      NaN        S       3

305          306         1       1   Allison, Master. Hudson Trevor    male  0.92      1      2           113781  151.5500  C22 C26        S       4

827          828         1       2            Mallet, Master. Andre    male  1.00      0      2  S.C./PARIS 2079   37.0042      NaN        C       5

381          382         1       3      Nakid, Miss. Maria ("Mary")  female  1.00      0      2             2653   15.7417      NaN        C       5

164          165         0       3     Panula, Master. Eino Viljami    male  1.00      4      1          3101295   39.6875      NaN        S       5

183          184         1       2        Becker, Master. Richard F    male  1.00      2      1           230136   39.0000       F4        S       5

386          387         0       3  Goodwin, Master. Sidney Leonard    male  1.00      5      2          CA 2144   46.9000      NaN        S       5

172          173         1       3     Johnson, Miss. Eleanor Ileen  female  1.00      1      1           347742   11.1333      NaN        S       5

788          789         1       3       Dean, Master. Bertram Vere    male  1.00      1      2        C.A. 2315   20.5750      NaN        S       5

642          643         0       3    Skoog, Miss. Margit Elizabeth  female  2.00      3      2           347088   27.9000      NaN        S       6

7              8         0       3   Palsson, Master. Gosta Leonard    male  2.00      3      1           349909   21.0750      NaN        S       6

530          531         1       2         Quick, Miss. Phyllis May  female  2.00      1      1            26360   26.0000      NaN        S       6

297          298         0       1     Allison, Miss. Helen Loraine  female  2.00      1      2           113781  151.5500  C22 C26        S       6

824          825         0       3     Panula, Master. Urho Abraham    male  2.00      4      1          3101295   39.6875      NaN        S       6

205          206         0       3       Strom, Miss. Telma Matilda  female  2.00      0      1           347054   10.4625       G6        S       6

     PassengerId  Survived  Pclass                                                               Name     Sex   Age  SibSp  Parch    Ticket      Fare Cabin Embarked Cabin_en

583          584         0       1                                                Ross, Mr. John Hugo    male  36.0      0      0     13049   40.1250   A10        C        0

475          476         0       1                                        Clifford, Mr. George Quincy    male   NaN      0      0    110465   52.0000   A14        S        1

556          557         1       1  Duff Gordon, Lady. (Lucille Christiana Sutherland) ("Mrs Morgan")  female  48.0      1      0     11755   39.6000   A16        C        2

284          285         0       1                                         Smith, Mr. Richard William    male   NaN      0      0    113056   26.0000   A19        S        3

599          600         1       1                       Duff Gordon, Sir. Cosmo Edmund ("Mr Morgan")    male  49.0      1      0  PC 17485   56.9292   A20        C        4

630          631         1       1                               Barkworth, Mr. Algernon Henry Wilson    male  80.0      0      0     27042   30.0000   A23        S        5

867          868         0       1                               Roebling, Mr. Washington Augustus II    male  31.0      0      0  PC 17590   50.4958   A24        S        6

647          648         1       1                                Simonius-Blumer, Col. Oberst Alfons    male  56.0      0      0     13213   35.5000   A26        C        7

209          210         1       1                                                   Blank, Mr. Henry    male  40.0      0      0    112277   31.0000   A31        C        8

185          186         0       1                                              Rood, Mr. Hugh Roscoe    male   NaN      0      0    113767   50.0000   A32        S        9

445          446         1       1                                          Dodge, Master. Washington    male   4.0      0      2     33638   81.8583   A34        S       10

806          807         0       1                                             Andrews, Mr. Thomas Jr    male  39.0      0      0    112050    0.0000   A36        S       11

96            97         0       1                                          Goldschmidt, Mr. George B    male  71.0      0      0  PC 17754   34.6542    A5        C       12

23            24         1       1                                       Sloper, Mr. William Thompson    male  28.0      0      0    113788   35.5000    A6        S       13

174          175         0       1                                            Smith, Mr. James Clinch    male  56.0      0      0     17764   30.6958    A7        C       14

737          738         1       1                                             Lesurer, Mr. Gustave J    male  35.0      0      0  PC 17755  512.3292  B101        C       15

815          816         0       1                                                   Fry, Mr. Richard    male   NaN      0      0    112058    0.0000  B102        S       16

523          524         1       1                    Hippach, Mrs. Louis Albert (Ida Sophia Fischer)  female  44.0      0      1    111361   57.9792   B18        C       17

329          330         1       1                                       Hippach, Miss. Jean Gertrude  female  16.0      0      1    111361   57.9792   B18        C       17

170          171         0       1                                          Van der hoef, Mr. Wyckoff    male  61.0      0      0    111240   33.5000   B19        S       18

     PassengerId  Survived  Pclass                              Name   Sex   Age  SibSp  Parch  Ticket    Fare        Cabin Embarked Fare_en

271          272         1       3      Tornquist, Mr. William Henry  male  25.0      0      0    LINE  0.0000          NaN        S       0

597          598         0       3               Johnson, Mr. Alfred  male  49.0      0      0    LINE  0.0000          NaN        S       0

302          303         0       3   Johnson, Mr. William Cahoone Jr  male  19.0      0      0    LINE  0.0000          NaN        S       0

633          634         0       1     Parr, Mr. William Henry Marsh  male   NaN      0      0  112052  0.0000          NaN        S       0

277          278         0       2       Parkes, Mr. Francis "Frank"  male   NaN      0      0  239853  0.0000          NaN        S       0

413          414         0       2    Cunningham, Mr. Alfred Fleming  male   NaN      0      0  239853  0.0000          NaN        S       0

674          675         0       2        Watson, Mr. Ennis Hastings  male   NaN      0      0  239856  0.0000          NaN        S       0

263          264         0       1             Harrison, Mr. William  male  40.0      0      0  112059  0.0000          B94        S       0

466          467         0       2             Campbell, Mr. William  male   NaN      0      0  239853  0.0000          NaN        S       0

732          733         0       2              Knight, Mr. Robert J  male   NaN      0      0  239855  0.0000          NaN        S       0

179          180         0       3               Leonard, Mr. Lionel  male  36.0      0      0    LINE  0.0000          NaN        S       0

806          807         0       1            Andrews, Mr. Thomas Jr  male  39.0      0      0  112050  0.0000          A36        S       0

481          482         0       2  Frost, Mr. Anthony Wood "Archie"  male   NaN      0      0  239854  0.0000          NaN        S       0

822          823         0       1   Reuchlin, Jonkheer. John George  male  38.0      0      0   19972  0.0000          NaN        S       0

815          816         0       1                  Fry, Mr. Richard  male   NaN      0      0  112058  0.0000         B102        S       0

378          379         0       3               Betros, Mr. Tannous  male  20.0      0      0    2648  4.0125          NaN        C       1

872          873         0       1          Carlsson, Mr. Frans Olof  male  33.0      0      0     695  5.0000  B51 B53 B55        S       2

326          327         0       3         Nysveen, Mr. Johan Hansen  male  61.0      0      0  345364  6.2375          NaN        S       3

843          844         0       3        Lemberopolous, Mr. Peter L  male  34.5      0      0    2683  6.4375          NaN        C       4

818          819         0       3  Holm, Mr. John Fredrik Alexander  male  43.0      0      0  C 7075  6.4500          NaN        S       5





df.d_enumerate_all_groups_in_all_columns(prefix="group_")

Out[4]: 

     PassengerId  Survived  Pclass  ... group_Fare group_Cabin  group_Embarked

0              1         0       3  ...         18         NaN             2.0

1              2         1       1  ...        207        81.0             0.0

2              3         1       3  ...         41         NaN             2.0

3              4         1       1  ...        189        55.0             2.0

4              5         0       3  ...         43         NaN             2.0

..           ...       ...     ...  ...        ...         ...             ...

886          887         0       2  ...         85         NaN             2.0

887          888         1       1  ...        153        30.0             2.0

888          889         0       3  ...        131         NaN             2.0

889          890         1       1  ...        153        60.0             0.0

890          891         0       3  ...         30         NaN             1.0

[891 rows x 24 columns]





df.d_enumerate_groups_in_multiple_columns(columns=[['Pclass','Survived']], prefix="group_", name_sep="_")

Out[7]: 

     PassengerId  Survived  Pclass  ... Cabin Embarked  group_Pclass_Survived

0              1         0       3  ...  <NA>        S                      4

1              2         1       1  ...   C85        C                      1

2              3         1       3  ...  <NA>        S                      5

3              4         1       1  ...  C123        S                      1

4              5         0       3  ...  <NA>        S                      4

..           ...       ...     ...  ...   ...      ...                    ...

886          887         0       2  ...  <NA>        S                      2

887          888         1       1  ...   B42        S                      1

888          889         0       3  ...  <NA>        S                      4

889          890         1       1  ...  C148        C                      1

890          891         0       3  ...  <NA>        Q                      4

[891 rows x 13 columns]



```


            

Raw data

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    "_id": null,
    "home_page": "https://github.com/hansalemaos/a_pandas_ex_enumerate_groups",
    "name": "a-pandas-ex-enumerate-groups",
    "maintainer": "",
    "docs_url": null,
    "requires_python": "",
    "maintainer_email": "",
    "keywords": "pandas,DataFrame,groups,enumerate",
    "author": "Johannes Fischer",
    "author_email": "<aulasparticularesdealemaosp@gmail.com>",
    "download_url": "https://files.pythonhosted.org/packages/58/60/a9b6b37898b386f01931288596cc4710bea054e31f95754d1723d2c35574/a_pandas_ex_enumerate_groups-0.12.tar.gz",
    "platform": null,
    "description": "\n# Groups values in a column of a DataFrame and enumerates them\n\n\n\n```python\n\npip install a-pandas-ex-enumerate_groups \n\n```\n\n\n\n\n\n```python\n\n\n\nfrom a_pandas_ex_enumerate_groups import pd_add_enumerate_group\n\npd_add_enumerate_group()\n\nimport pandas as pd\n\n\n\ndf = pd.read_csv(\n\n    \"https://raw.githubusercontent.com/pandas-dev/pandas/main/doc/data/titanic.csv\"\n\n)\n\ndfi = df.ds_enumerate_groups(\n\n     enumerated_column=\"Age_enu\", column_to_enumerate=\"Age\"\n\n)\n\nprint(dfi[:20].to_string())\n\ndfi = df.ds_enumerate_groups( enumerated_column=\"Cabin_en\", column_to_enumerate=\"Cabin\"\n\n)\n\nprint(dfi[:20].to_string())\n\ndfi = df.ds_enumerate_groups( enumerated_column=\"Fare_en\", column_to_enumerate=\"Fare\"\n\n)\n\n\n\nprint(dfi[:20].to_string())\n\n\n\n\n\n     PassengerId  Survived  Pclass                             Name     Sex   Age  SibSp  Parch           Ticket      Fare    Cabin Embarked Age_enu\n\n803          804         1       3  Thomas, Master. Assad Alexander    male  0.42      0      1             2625    8.5167      NaN        C       0\n\n755          756         1       2        Hamalainen, Master. Viljo    male  0.67      1      1           250649   14.5000      NaN        S       1\n\n644          645         1       3           Baclini, Miss. Eugenie  female  0.75      2      1             2666   19.2583      NaN        C       2\n\n469          470         1       3    Baclini, Miss. Helene Barbara  female  0.75      2      1             2666   19.2583      NaN        C       2\n\n78            79         1       2    Caldwell, Master. Alden Gates    male  0.83      0      2           248738   29.0000      NaN        S       3\n\n831          832         1       2  Richards, Master. George Sibley    male  0.83      1      1            29106   18.7500      NaN        S       3\n\n305          306         1       1   Allison, Master. Hudson Trevor    male  0.92      1      2           113781  151.5500  C22 C26        S       4\n\n827          828         1       2            Mallet, Master. Andre    male  1.00      0      2  S.C./PARIS 2079   37.0042      NaN        C       5\n\n381          382         1       3      Nakid, Miss. Maria (\"Mary\")  female  1.00      0      2             2653   15.7417      NaN        C       5\n\n164          165         0       3     Panula, Master. Eino Viljami    male  1.00      4      1          3101295   39.6875      NaN        S       5\n\n183          184         1       2        Becker, Master. Richard F    male  1.00      2      1           230136   39.0000       F4        S       5\n\n386          387         0       3  Goodwin, Master. Sidney Leonard    male  1.00      5      2          CA 2144   46.9000      NaN        S       5\n\n172          173         1       3     Johnson, Miss. Eleanor Ileen  female  1.00      1      1           347742   11.1333      NaN        S       5\n\n788          789         1       3       Dean, Master. Bertram Vere    male  1.00      1      2        C.A. 2315   20.5750      NaN        S       5\n\n642          643         0       3    Skoog, Miss. Margit Elizabeth  female  2.00      3      2           347088   27.9000      NaN        S       6\n\n7              8         0       3   Palsson, Master. Gosta Leonard    male  2.00      3      1           349909   21.0750      NaN        S       6\n\n530          531         1       2         Quick, Miss. Phyllis May  female  2.00      1      1            26360   26.0000      NaN        S       6\n\n297          298         0       1     Allison, Miss. Helen Loraine  female  2.00      1      2           113781  151.5500  C22 C26        S       6\n\n824          825         0       3     Panula, Master. Urho Abraham    male  2.00      4      1          3101295   39.6875      NaN        S       6\n\n205          206         0       3       Strom, Miss. Telma Matilda  female  2.00      0      1           347054   10.4625       G6        S       6\n\n     PassengerId  Survived  Pclass                                                               Name     Sex   Age  SibSp  Parch    Ticket      Fare Cabin Embarked Cabin_en\n\n583          584         0       1                                                Ross, Mr. John Hugo    male  36.0      0      0     13049   40.1250   A10        C        0\n\n475          476         0       1                                        Clifford, Mr. George Quincy    male   NaN      0      0    110465   52.0000   A14        S        1\n\n556          557         1       1  Duff Gordon, Lady. (Lucille Christiana Sutherland) (\"Mrs Morgan\")  female  48.0      1      0     11755   39.6000   A16        C        2\n\n284          285         0       1                                         Smith, Mr. Richard William    male   NaN      0      0    113056   26.0000   A19        S        3\n\n599          600         1       1                       Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")    male  49.0      1      0  PC 17485   56.9292   A20        C        4\n\n630          631         1       1                               Barkworth, Mr. Algernon Henry Wilson    male  80.0      0      0     27042   30.0000   A23        S        5\n\n867          868         0       1                               Roebling, Mr. Washington Augustus II    male  31.0      0      0  PC 17590   50.4958   A24        S        6\n\n647          648         1       1                                Simonius-Blumer, Col. Oberst Alfons    male  56.0      0      0     13213   35.5000   A26        C        7\n\n209          210         1       1                                                   Blank, Mr. Henry    male  40.0      0      0    112277   31.0000   A31        C        8\n\n185          186         0       1                                              Rood, Mr. Hugh Roscoe    male   NaN      0      0    113767   50.0000   A32        S        9\n\n445          446         1       1                                          Dodge, Master. Washington    male   4.0      0      2     33638   81.8583   A34        S       10\n\n806          807         0       1                                             Andrews, Mr. Thomas Jr    male  39.0      0      0    112050    0.0000   A36        S       11\n\n96            97         0       1                                          Goldschmidt, Mr. George B    male  71.0      0      0  PC 17754   34.6542    A5        C       12\n\n23            24         1       1                                       Sloper, Mr. William Thompson    male  28.0      0      0    113788   35.5000    A6        S       13\n\n174          175         0       1                                            Smith, Mr. James Clinch    male  56.0      0      0     17764   30.6958    A7        C       14\n\n737          738         1       1                                             Lesurer, Mr. Gustave J    male  35.0      0      0  PC 17755  512.3292  B101        C       15\n\n815          816         0       1                                                   Fry, Mr. Richard    male   NaN      0      0    112058    0.0000  B102        S       16\n\n523          524         1       1                    Hippach, Mrs. Louis Albert (Ida Sophia Fischer)  female  44.0      0      1    111361   57.9792   B18        C       17\n\n329          330         1       1                                       Hippach, Miss. Jean Gertrude  female  16.0      0      1    111361   57.9792   B18        C       17\n\n170          171         0       1                                          Van der hoef, Mr. Wyckoff    male  61.0      0      0    111240   33.5000   B19        S       18\n\n     PassengerId  Survived  Pclass                              Name   Sex   Age  SibSp  Parch  Ticket    Fare        Cabin Embarked Fare_en\n\n271          272         1       3      Tornquist, Mr. William Henry  male  25.0      0      0    LINE  0.0000          NaN        S       0\n\n597          598         0       3               Johnson, Mr. Alfred  male  49.0      0      0    LINE  0.0000          NaN        S       0\n\n302          303         0       3   Johnson, Mr. William Cahoone Jr  male  19.0      0      0    LINE  0.0000          NaN        S       0\n\n633          634         0       1     Parr, Mr. William Henry Marsh  male   NaN      0      0  112052  0.0000          NaN        S       0\n\n277          278         0       2       Parkes, Mr. Francis \"Frank\"  male   NaN      0      0  239853  0.0000          NaN        S       0\n\n413          414         0       2    Cunningham, Mr. Alfred Fleming  male   NaN      0      0  239853  0.0000          NaN        S       0\n\n674          675         0       2        Watson, Mr. Ennis Hastings  male   NaN      0      0  239856  0.0000          NaN        S       0\n\n263          264         0       1             Harrison, Mr. William  male  40.0      0      0  112059  0.0000          B94        S       0\n\n466          467         0       2             Campbell, Mr. William  male   NaN      0      0  239853  0.0000          NaN        S       0\n\n732          733         0       2              Knight, Mr. Robert J  male   NaN      0      0  239855  0.0000          NaN        S       0\n\n179          180         0       3               Leonard, Mr. Lionel  male  36.0      0      0    LINE  0.0000          NaN        S       0\n\n806          807         0       1            Andrews, Mr. Thomas Jr  male  39.0      0      0  112050  0.0000          A36        S       0\n\n481          482         0       2  Frost, Mr. Anthony Wood \"Archie\"  male   NaN      0      0  239854  0.0000          NaN        S       0\n\n822          823         0       1   Reuchlin, Jonkheer. John George  male  38.0      0      0   19972  0.0000          NaN        S       0\n\n815          816         0       1                  Fry, Mr. Richard  male   NaN      0      0  112058  0.0000         B102        S       0\n\n378          379         0       3               Betros, Mr. Tannous  male  20.0      0      0    2648  4.0125          NaN        C       1\n\n872          873         0       1          Carlsson, Mr. Frans Olof  male  33.0      0      0     695  5.0000  B51 B53 B55        S       2\n\n326          327         0       3         Nysveen, Mr. Johan Hansen  male  61.0      0      0  345364  6.2375          NaN        S       3\n\n843          844         0       3        Lemberopolous, Mr. Peter L  male  34.5      0      0    2683  6.4375          NaN        C       4\n\n818          819         0       3  Holm, Mr. John Fredrik Alexander  male  43.0      0      0  C 7075  6.4500          NaN        S       5\n\n\n\n\n\ndf.d_enumerate_all_groups_in_all_columns(prefix=\"group_\")\n\nOut[4]: \n\n     PassengerId  Survived  Pclass  ... group_Fare group_Cabin  group_Embarked\n\n0              1         0       3  ...         18         NaN             2.0\n\n1              2         1       1  ...        207        81.0             0.0\n\n2              3         1       3  ...         41         NaN             2.0\n\n3              4         1       1  ...        189        55.0             2.0\n\n4              5         0       3  ...         43         NaN             2.0\n\n..           ...       ...     ...  ...        ...         ...             ...\n\n886          887         0       2  ...         85         NaN             2.0\n\n887          888         1       1  ...        153        30.0             2.0\n\n888          889         0       3  ...        131         NaN             2.0\n\n889          890         1       1  ...        153        60.0             0.0\n\n890          891         0       3  ...         30         NaN             1.0\n\n[891 rows x 24 columns]\n\n\n\n\n\ndf.d_enumerate_groups_in_multiple_columns(columns=[['Pclass','Survived']], prefix=\"group_\", name_sep=\"_\")\n\nOut[7]: \n\n     PassengerId  Survived  Pclass  ... Cabin Embarked  group_Pclass_Survived\n\n0              1         0       3  ...  <NA>        S                      4\n\n1              2         1       1  ...   C85        C                      1\n\n2              3         1       3  ...  <NA>        S                      5\n\n3              4         1       1  ...  C123        S                      1\n\n4              5         0       3  ...  <NA>        S                      4\n\n..           ...       ...     ...  ...   ...      ...                    ...\n\n886          887         0       2  ...  <NA>        S                      2\n\n887          888         1       1  ...   B42        S                      1\n\n888          889         0       3  ...  <NA>        S                      4\n\n889          890         1       1  ...  C148        C                      1\n\n890          891         0       3  ...  <NA>        Q                      4\n\n[891 rows x 13 columns]\n\n\n\n```\n\n",
    "bugtrack_url": null,
    "license": "MIT",
    "summary": "Groups values in a column of a DataFrame and enumerates them",
    "version": "0.12",
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        "pandas",
        "dataframe",
        "groups",
        "enumerate"
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