prettypandas 0.0.4

Pandas Styler for Report Quality Tables.

PrettyPandas is an extension to the Pandas DataFrame class that helps you create report qualitiy tables with a simple API.

Features

• Add summary rows and columns.

• Number formatting for currency, scientific units, and percentages.

• Chaining commands in a Fluent API.

• Works seamlessly with Pandas Style API.

Note

Version 0.0.4 removes the apply_pretty_globals function and other custom CSS properties because Pandas and Jupyter now defaults to providing great looking html tables. If you still want custom CSS you can use the Pandas Style API.

Installation

You can install PrettyPandas using pip with support for Python 2.7, 3.3, 3.4, and 3.5:

pip install prettypandas

You can also install from source:

git clone [e-mail]:HHammond/PrettyPandas.git
cd PrettyPandas
python setup.py install

Contributing

The project is available on GitHub and anyone is welcome to contribute. You can use the issue tracker to report issues, bugs, or suggest improvements.

Documentation

See the GitHub page for documentation.

License

The MIT License (MIT)

Copyright (c) 2016 Henry Hammond

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.