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https://github.com/domdfcoding/si_unit_pandas

Custom Pandas dtypes for values with SI units.
https://github.com/domdfcoding/si_unit_pandas

python

Last synced: 21 days ago
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Custom Pandas dtypes for values with SI units.

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README

        

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si_unit_pandas
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.. start short_desc

**Custom Pandas dtypes for values with SI units.**

.. end short_desc

``si_unit_pandas`` provides support for storing temperatures inside a pandas DataFrame using pandas' `Extension Array Interface `_

.. start shields

.. list-table::
:stub-columns: 1
:widths: 10 90

* - Docs
- |docs| |docs_check|
* - Tests
- |actions_linux| |actions_windows| |actions_macos| |coveralls|
* - Activity
- |commits-latest| |commits-since| |maintained|
* - QA
- |codefactor| |actions_flake8| |actions_mypy|
* - Other
- |license| |language| |requires|

.. |docs| image:: https://img.shields.io/readthedocs/si-unit-pandas/latest?logo=read-the-docs
:target: https://si-unit-pandas.readthedocs.io/en/latest
:alt: Documentation Build Status

.. |docs_check| image:: https://github.com/domdfcoding/si_unit_pandas/workflows/Docs%20Check/badge.svg
:target: https://github.com/domdfcoding/si_unit_pandas/actions?query=workflow%3A%22Docs+Check%22
:alt: Docs Check Status

.. |actions_linux| image:: https://github.com/domdfcoding/si_unit_pandas/workflows/Linux/badge.svg
:target: https://github.com/domdfcoding/si_unit_pandas/actions?query=workflow%3A%22Linux%22
:alt: Linux Test Status

.. |actions_windows| image:: https://github.com/domdfcoding/si_unit_pandas/workflows/Windows/badge.svg
:target: https://github.com/domdfcoding/si_unit_pandas/actions?query=workflow%3A%22Windows%22
:alt: Windows Test Status

.. |actions_macos| image:: https://github.com/domdfcoding/si_unit_pandas/workflows/macOS/badge.svg
:target: https://github.com/domdfcoding/si_unit_pandas/actions?query=workflow%3A%22macOS%22
:alt: macOS Test Status

.. |actions_flake8| image:: https://github.com/domdfcoding/si_unit_pandas/workflows/Flake8/badge.svg
:target: https://github.com/domdfcoding/si_unit_pandas/actions?query=workflow%3A%22Flake8%22
:alt: Flake8 Status

.. |actions_mypy| image:: https://github.com/domdfcoding/si_unit_pandas/workflows/mypy/badge.svg
:target: https://github.com/domdfcoding/si_unit_pandas/actions?query=workflow%3A%22mypy%22
:alt: mypy status

.. |requires| image:: https://dependency-dash.repo-helper.uk/github/domdfcoding/si_unit_pandas/badge.svg
:target: https://dependency-dash.repo-helper.uk/github/domdfcoding/si_unit_pandas/
:alt: Requirements Status

.. |coveralls| image:: https://img.shields.io/coveralls/github/domdfcoding/si_unit_pandas/master?logo=coveralls
:target: https://coveralls.io/github/domdfcoding/si_unit_pandas?branch=master
:alt: Coverage

.. |codefactor| image:: https://img.shields.io/codefactor/grade/github/domdfcoding/si_unit_pandas?logo=codefactor
:target: https://www.codefactor.io/repository/github/domdfcoding/si_unit_pandas
:alt: CodeFactor Grade

.. |license| image:: https://img.shields.io/github/license/domdfcoding/si_unit_pandas
:target: https://github.com/domdfcoding/si_unit_pandas/blob/master/LICENSE
:alt: License

.. |language| image:: https://img.shields.io/github/languages/top/domdfcoding/si_unit_pandas
:alt: GitHub top language

.. |commits-since| image:: https://img.shields.io/github/commits-since/domdfcoding/si_unit_pandas/v0.0.1
:target: https://github.com/domdfcoding/si_unit_pandas/pulse
:alt: GitHub commits since tagged version

.. |commits-latest| image:: https://img.shields.io/github/last-commit/domdfcoding/si_unit_pandas
:target: https://github.com/domdfcoding/si_unit_pandas/commit/master
:alt: GitHub last commit

.. |maintained| image:: https://img.shields.io/maintenance/yes/2024
:alt: Maintenance

.. end shields

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Installation
--------------

.. start installation

``si_unit_pandas`` can be installed from GitHub.

To install with ``pip``:

.. code-block:: bash

$ python -m pip install git+https://github.com/domdfcoding/si_unit_pandas

.. end installation

Example
------------

.. code-block:: python

# 3rd party
import pandas as pd

# this package
from si_unit_pandas import TemperatureArray

TemperatureArray([10, 20, 30, 40, 50])