Sparx is a simplified data munging, wrangling and preparation library
Project description
Sparx is a Python module for data preprocessing and wrangling built on top of Pandas, Numpy, SciPy, Scikit-Learn and distributed under the 1-Clause BSD license.
The project was started in 2017 by Bastin Robins, Vandana Bhagat, Pallavi Murthi as a CleverInsight Hack Challenge, and since then many volunteers have contributed. See the AUTHORS.rst file for a complete list of contributors.
It is currently maintained by a team of volunteers.
Website: http://sparx.readthedocs.org
Installation
Dependencies
sparx requires:
Python-dateutil (>=2.6.0)
Geopy (<=1.11.0)
Pandas (>=0.19.2)
NumPy (>=1.13.1)
Blaze (>=0.10.1)
SciPy (>=0.18.1)
Scikit-Learn (>=0.18.1)
User installation
If you already have a working installation of pandas, numpy,geopy, python_dateutil, scikit-learn and scipy, the easiest way to install scikit-learn is using pip
pip install -U sparx
Development
We welcome new contributors of all experience levels. The sparx community goals are to be helpful, welcoming, and effective.
Important links
Official source code repo: https://gitlab.com/cleverinsight-community/sparx
Download releases: https://pypi.python.org/pypi/sparx
Issue tracker: https://gitlab.com/cleverinsight-community/sparx/issues
Source code
You can check the latest sources with the command:
git clone https://gitlab.com/cleverinsight-community/sparx.git
Setting up a development environment
Quick tutorial on how to go about setting up your environment to contribute to sparx: http://sparx.readthedocs.io/en/latest/contributing.html
Testing
After installation, you can launch the test suite from outside the source directory (you will need to have the pytest package installed):
python -m pytest -v
Submitting a Pull Request
Before opening a Pull Request, have a look at the full Contributing page to make sure your code complies with our guidelines: http://sparx.readthedocs.io/en/latest/contributing.html
Project History
The project was started in 2017 by Bastin Robins, Vandana Bhagat, Pallavi Murthi as a CleverInsight Hack Challenge, and since then many volunteers have contributed. See the AUTHORS.rst file for a complete list of contributors.
Help and Support
Documentation
HTML documentation (stable release): http://sparx.readthedocs.io
HTML documentation (development version): http://sparx.readthedocs.io/dev
Communication
IRC channel: #sparx at webchat.freenode.net
Website: http://sparx.cleverinsight.co
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