semvec/pypi-packages huggingface dataset:
Pint-Pandas 0.7.1
Extend Pandas Dataframe with Physical quantities module
License: BSD
Requires Python: >=3.9
Keywords: physical, quantities, unit, conversion, science, pandas, dataframe

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    :alt: Latest Version

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    :alt: License

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    :alt: Python Versions

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    :alt: Coverage


Pint-Pandas
===========

Pandas support for `pint <https://pint.readthedocs.io/en/stable/>`_

.. code-block:: python

    >>> import pandas as pd
    >>> import pint_pandas


.. code-block:: python

    >>> df = pd.DataFrame({
    ...     "torque": pd.Series([1, 2, 2, 3], dtype="pint[lbf ft]"),
    ...     "angular_velocity": pd.Series([1, 2, 2, 3], dtype="pint[rpm]"),
    ... })
    >>> df['power'] = df['torque'] * df['angular_velocity']
    >>> df.dtypes
    torque                                       pint[foot * force_pound]
    angular_velocity                         pint[revolutions_per_minute]
    power               pint[foot * force_pound * revolutions_per_minute]
    dtype: object

Documentation
--------------
Full documentation is available at http://pint-pandas.readthedocs.io/

Quick Installation
------------------

To install Pint-Pandas, simply:

.. code-block:: bash

    $ pip install pint-pandas

or utilizing conda, with the conda-forge channel:

.. code-block:: bash

    $ conda install -c conda-forge pint-pandas

and then simply enjoy it!