https://github.com/jankatins/pydatapipes

Python data pipelines similar to R
https://github.com/jankatins/pydatapipes

Last synced: about 1 month ago
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Python data pipelines similar to R

• Host: GitHub
• URL: https://github.com/jankatins/pydatapipes
• Owner: jankatins
• License: mit
• Created: 2016-10-22T14:23:52.000Z (about 8 years ago)
• Default Branch: master
• Last Pushed: 2016-10-23T00:01:18.000Z (about 8 years ago)
• Last Synced: 2024-10-01T16:09:27.289Z (about 1 month ago)
• Language: Python
• Size: 30.3 KB
• Stars: 12
• Watchers: 1
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.rst
  • Changelog: HISTORY.rst
  • Contributing: CONTRIBUTING.rst
  • License: LICENSE

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README

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

Python data pipelines

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

.. image:: https://img.shields.io/pypi/v/pydatapipes.svg

        :target: https://pypi.python.org/pypi/pydatapipes

.. image:: https://img.shields.io/travis/janschulz/pydatapipes.svg

        :target: https://travis-ci.org/janschulz/pydatapipes

.. image:: https://readthedocs.org/projects/pydatapipes/badge/?version=latest

        :target: https://pydatapipes.readthedocs.io/en/latest/?badge=latest

        :alt: Documentation Status

.. image:: https://pyup.io/repos/github/janschulz/pydatapipes/shield.svg

     :target: https://pyup.io/repos/github/janschulz/pydatapipes/

     :alt: Updates

Features

--------

This package implements the basics for building pipelines similar to magrittr in R. Pipelines are

created using ``>>``. Internally it uses singledispatch_ to provide a way for a unified API

for different kinds of inputs (SQL databases, HDF, simple dicts, ...).

Basic example what can be build with this package:

.. code-block:: python

    >>> from my_library import append_col

    >>> import pandas as pd

    >>> pd.DataFrame({"a" : [1,2,3]}) >> append_col(x=3)

       a  X

    0  1  3

    1  2  3

    2  3  3

In the future, this package might also implement the verbs from the R packages dplyr_ and

tidyr_ for ``pandas.DataFrame`` and  or I will fold this into one of the other available

implementation of dplyr_ style pipelines/verbs for pandas.

Documentation

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

The documentaiton can be found on ReadTheDocs_: https://pydatapipes.readthedocs.io

License

-------

Free software: MIT license

Credits

---------

* magrittr_ and it's usage in dplyr_ / tidyr_ for the idea of using pipelines in that ways

* lots of python implementations of dplyr style pipelines: dplython_, pandas_ply_, dfply_

This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.

.. _Cookiecutter: https://github.com/audreyr/cookiecutter

.. _ReadTheDocs: https://readthedocs.org/

.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage

.. _magrittr: https://cran.r-project.org/web/packages/magrittr/vignettes/magrittr.html

.. _dplyr: https://cran.rstudio.com/web/packages/dplyr/vignettes/introduction.html

.. _tidyr: https://cran.r-project.org/web/packages/tidyr/index.html

.. _singledispatch: https://docs.python.org/3/library/functools.html#functools.singledispatch

.. _dplython: https://github.com/dodger487/dplython

.. _pandas_ply: https://github.com/coursera/pandas-ply

.. _dfply: https://github.com/kieferk/dfply