Skip to main content

Puts objects into cells / columns of a Pandas Dataframe

Project description

Puts objects into cells / columns of a Pandas Dataframe

pip install a-pandas-ex-obj-into-cell
Not best (Pandas) practice, but sometimes very useful :)
from a_pandas_ex_obj_into_cell import pd_add_obj_into_cells

import pandas as pd



pd_add_obj_into_cells()

df = pd.read_csv(

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

)



d1 = df.d_one_object_to_several_cells(

    column="test1",

    value=({1: ("xx", 331, 11)}),

    indexlist=[1, 2, 3, 7],

    ffill=True,

    bfill=True,

)



print(d1)

d2 = df.d_list_items_to_cells(

    column="test2",

    values=[

        [

            1,

            32,

            4,

        ],

        {33: "dfd", 0: [3, 2]},

        4,

        (5, 34),

    ],

    indexlist=[1, 4, 6, 9],

    ffill=False,

    bfill=False,

)

print(d2)





'''     

PassengerId  Survived  Pclass  ... Cabin Embarked                 test1

0              1         0       3  ...   NaN        S  {1: ('xx', 331, 11)}

1              2         1       1  ...   C85        C  {1: ('xx', 331, 11)}

2              3         1       3  ...   NaN        S  {1: ('xx', 331, 11)}

3              4         1       1  ...  C123        S  {1: ('xx', 331, 11)}

4              5         0       3  ...   NaN        S  {1: ('xx', 331, 11)}

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

886          887         0       2  ...   NaN        S  {1: ('xx', 331, 11)}

887          888         1       1  ...   B42        S  {1: ('xx', 331, 11)}

888          889         0       3  ...   NaN        S  {1: ('xx', 331, 11)}

889          890         1       1  ...  C148        C  {1: ('xx', 331, 11)}

890          891         0       3  ...   NaN        Q  {1: ('xx', 331, 11)}

[891 rows x 13 columns]

     PassengerId  Survived  Pclass  ... Cabin Embarked                   test2

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

1              2         1       1  ...   C85        C              [1, 32, 4]

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

3              4         1       1  ...  C123        S                    <NA>

4              5         0       3  ...   NaN        S  {33: 'dfd', 0: [3, 2]}

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

886          887         0       2  ...   NaN        S                     NaN

887          888         1       1  ...   B42        S                     NaN

888          889         0       3  ...   NaN        S                     NaN

889          890         1       1  ...  C148        C                     NaN

890          891         0       3  ...   NaN        Q                     NaN

[891 rows x 13 columns]'''

Project details


Download files

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

Source Distribution

a_pandas_ex_obj_into_cell-0.12.tar.gz (4.4 kB view details)

Uploaded Source

Built Distribution

a_pandas_ex_obj_into_cell-0.12-py3-none-any.whl (6.2 kB view details)

Uploaded Python 3

File details

Details for the file a_pandas_ex_obj_into_cell-0.12.tar.gz.

File metadata

File hashes

Hashes for a_pandas_ex_obj_into_cell-0.12.tar.gz
Algorithm Hash digest
SHA256 ca75f6cf3bbc7a2017364eb791c50ffc121a1186def53bc9cebb98295ee92700
MD5 3deb8966cc0c22c16db93589371f01bf
BLAKE2b-256 63665ec05b3f7649eeee8dabb957fa899856b2140892e504a5f4206b10237e18

See more details on using hashes here.

File details

Details for the file a_pandas_ex_obj_into_cell-0.12-py3-none-any.whl.

File metadata

File hashes

Hashes for a_pandas_ex_obj_into_cell-0.12-py3-none-any.whl
Algorithm Hash digest
SHA256 51026cf15e9f60fa263a464612fe33c20674cc4a87d616912c82bf1a5282f4ef
MD5 c84cc3d4a36c646ce414ddb7bd23da8a
BLAKE2b-256 e4874341f3cfc2a6c406501431715ff7885eb56d42306e25f12d067eb446f5a4

See more details on using hashes here.

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