https://github.com/bytebaker/bharat

Indian states' metadata.
https://github.com/bytebaker/bharat

bharat india indian-states

Last synced: about 1 month ago
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Indian states' metadata.

• Host: GitHub
• URL: https://github.com/bytebaker/bharat
• Owner: ByteBaker
• License: bsd-3-clause
• Created: 2021-05-16T10:39:57.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2021-05-16T12:26:41.000Z (over 3 years ago)
• Last Synced: 2024-10-05T07:12:47.325Z (3 months ago)
• Topics: bharat, india, indian-states
• Language: Python
• Homepage: https://pypi.org/project/bharat/
• Size: 5.86 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
Bharat: Package For Data On The Largest Democracy

==================================================

A package for easily working with Bharat(India) and states' metadata.

-   All states and union territories of Bharat (India)

-   Capitals

-   GST Codes

-   Abbreviations (vehicle codes)

-   Websites

-   Postal Zones

-   Geographical Zones

-   Date of statehood

-   Is union territory

-   ISO3166-2:IN codes

Installation

------------

As usual:

    pip install bharat

Features

--------

Easy access to state information:

    >>> import bharat

    >>> bharat.states.UP

    

    >>> bharat.states.UP.abbr

    'UP'

    >>> bharat.states.UP.name

    'Uttar Pradesh'

    >>> bharat.states.UP.post_zone

    2

Includes union territories too: 

    >>> bharat.states.DL.name

    'Delhi'

    >>> bharat.states.DL.is_UT

    True

    >>> bharat.states.UP.is_UT

    False

List of all states (or UTs):

    >>> bharat.states.STATES

    [, , , ...

    >>> bharat.states.UNION_TERRITORIES

    [, , ...

And the whole collection, if you want it:

    >>> bharat.states.ALL

    [, , , ...

For convenience, `STATES`, `UNION_TERRITORIES`, and `ALL`

can be accessed directly from the `bharat` module:

    >>> bharat.states.STATES

    [, , , ...

    >>> bharat.STATES

    [, , , ...

States' Attributes

--------

    >>> bharat.states.State.__annotations__.keys()

    dict_keys(['abbr', 'capital', 'code', 'iso31662in', 'is_UT', 'name', 'post_zone', 'statehood_date', 'website', 'zone'])