A data-frame implementation using method piping.


Keywords
table, dataframe, datatable, functional-programming, pipe, python, toy-project
License
GPL-3.0
Install
pip install dataframe==0.2.1.3

Documentation

dataframe

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A data-frame implementation using method piping in python.

Introduction

Large-scale data-analysis is getting increasingly important in statistics and computer science. For matrix-shaped data-sets dataframe offers an easy to use framework for analysis, reshaping and modification of data in Python. dataframe hasbasic grouping, aggregation, subsetting and modification functions and is (in the near future maybe) extended to C++ and Fortran. In the latest version dataframe offers method piping as in the unix-commandline or R's magrittr package.

Installation

I recommend installing the library either using pypi or conda:

pip install dataframe
conda install -c dirmeier dataframe

Documentation

Detailed documentation is found at pythonhosted.org. A more convenient way to learn dataframe, however, is to use the provided jupyter notebook in examples:

cd examples
jupyter notebook

This of course requires you to install jupyter!

Author