dataframe
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
- Simon Dirmeier <mail@simon-dirmeier.net>