Extend Pandas Dataframe with Physical quantities module
Project description
Pint-Pandas
Pandas support for pint
>>> import pandas as pd
>>> import pint_pandas>>> 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: objectMore examples are shown in the example notebook https://github.com/hgrecco/pint-pandas/blob/master/notebooks/pint-pandas.ipynb
Quick Installation
To install Pint-Pandas, simply:
$ pip install pint-pandasor utilizing conda, with the conda-forge channel:
$ conda install -c conda-forge pint-pandasand then simply enjoy it!
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Pint-Pandas-0.5.tar.gz
(55.7 kB
view hashes)
Built Distribution
Pint_Pandas-0.5-py3-none-any.whl
(25.6 kB
view hashes)
Close
Hashes for Pint_Pandas-0.5-py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | a33e8b43052a867b7b00a8c2c1fa3a7cc9af0eb0c0c17734a62a66eae5bbb1dd |
|
| MD5 | 7fbd4978f2595c99c774fa8234aa10b7 |
|
| BLAKE2b-256 | 69b0c5b7232d7ae541549bf80320c34ebc6b8a7f059417515f8703c2bfc7a75a |
