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.. image:: https://img.shields.io/pypi/l/pint-pandas.svg
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.. image:: https://coveralls.io/repos/github/hgrecco/pint-pandas/badge.svg?branch=master
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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!
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