A data-frame that uses method piping in Python.
Branch: master
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
_fig
dataframe
docs
examples
recipe
tests
.coveragerc
.gitignore
.pylintrc
.travis.yml
LICENSE
MANIFEST.in
README.rst
VERSIONS.md
install.sh
requirements.txt
setup.cfg
setup.py
test.sh

README.rst

dataframe

https://travis-ci.org/dirmeier/dataframe.svg?branch=master https://api.codacy.com/project/badge/Grade/3787d3068c2f472bb337665ff67d7068

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