Welcome to Gtable's documentation!
==================================

Gtable (`source <https://github.com/guillemborrell/gtable>`_) is a container for
tabular or tabular-like data designed with speed in
mind. It is very similar to `pandas <http://pandas.pydata.org>`_, and it relies
on many of its capabilities. It tries to improve one some aspects of
using pandas data types :py:class:`pandas.Series` and
:py:class:`pandas.DataFrame` as containers for simple computations, but it is
not a replacement for them.

* It tries to reduce the overhead for column access, creation, and
  concatenation.

* It supports sparse data with bitmap indexing.

* It truly handles NaNs, making a difference between a NaN and a NA in its
  internal representation.

* It provides fast transformations (filling NA values, filtering, joining...)

It also relies heavily on `numpy <http://www.numpy.org>`_. You can consider
gtable as a thin layer over numpy arrays.

.. toctree::
   :maxdepth: 2
   :caption: Contents:

   tutorial
   motivation
   pandas
   indexed
   api
   license

You can install gtable with a simple ``pip install gtable``.

Gtable is an open-source project released under a BSD 3-Clause license. You can
find a copy of the license in this document


Indices and tables
==================

* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`