https://github.com/facultyai/lens

Summarise and explore Pandas DataFrames
https://github.com/facultyai/lens

dask data-exploration data-science data-visualisation dataframe pandas

Last synced: 5 days ago
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Summarise and explore Pandas DataFrames

• Host: GitHub
• URL: https://github.com/facultyai/lens
• Owner: facultyai
• License: apache-2.0
• Created: 2017-08-14T14:46:15.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2020-07-03T22:05:55.000Z (over 4 years ago)
• Last Synced: 2024-11-06T02:52:38.294Z (7 days ago)
• Topics: dask, data-exploration, data-science, data-visualisation, dataframe, pandas
• Language: Python
• Homepage: https://lens.readthedocs.io
• Size: 229 KB
• Stars: 100
• Watchers: 15
• Forks: 10
• Open Issues: 16
• Metadata Files:
  • Readme: README.rst
  • License: LICENSE.txt

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README

        
lens

====

.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.2593336.svg

   :target: https://doi.org/10.5281/zenodo.2593336

``lens`` is a library for exploring data in Pandas DataFrames. It computes

single column summary statistics and estimates the correlation between columns.

We wrote ``lens`` when we realised that the initial steps of acquiring a new

data set were almost formulaic: What data type is in this column? How many null

values are there? Which columns are correlated? What's the distribution of this

value? ``lens`` calculates all this for you.

See the documentation_ for more details.

.. _documentation: https://lens.readthedocs.io/en/latest

Installation

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

``lens`` can be installed from PyPI with ``pip``:

.. code-block:: bash

    pip install lens

Testing

-------

Tests can be run using [`tox`](https://tox.readthedocs.io) (replace `py37` with

the version of python you wish to use to run the tests):

.. code-block:: bash

    pip install tox

    tox -e py37

License

-------

``lens`` is licensed under the Apache License, see LICENSE.txt for details.