Skip to main content

N-D labeled arrays in Python

Project description

LArray: N-dimensional labelled arrays
=====================================

|build-status| |docs|

.. _start-intro:

LArray is open source Python library that aims to provide tools for easy exploration and manipulation of
N-dimensional labelled data structures.

Library Highlights
------------------

* N-dimensional labelled array objects to store and manipulate multi-dimensional data

* I/O functions for reading and writing arrays in different formats:
CSV, Microsoft Excel, HDF5, pickle

* Arrays can be grouped into Session objects and loaded/dumped at once

* User interface with an IPython console for rapid exploration of data

* Compatible with the pandas library: LArray objects can be converted into pandas DataFrame and vice versa.

.. _start-install:

Installation
============

Pre-built binaries
------------------

The easiest route to installing larray is through
`Conda <http://conda.pydata.org/miniconda.html>`_.
For all platforms installing larray can be done with::

conda install -c gdementen larray

This will install a lightweight version of larray
depending only on Numpy and Pandas libraries only.
Additional libraries are required to use the included
graphical user interface, make plots or use special
I/O functions for easy dump/load from Excel or
HDF files. Optional dependencies are described
below.

Installing larray with all optional dependencies
can be done with ::

conda install -c gdementen larrayenv

You can also first add the channel `gdementen` to
your channel list ::

conda config --add channels gdementen

and then install larray (or larrayenv) as ::

conda install larray


Building from source
--------------------

The latest release of LArray is available from
https://github.com/liam2/larray.git

Once you have satisfied the requirements detailed below, simply run::

python setup.py install


Required Dependencies
---------------------

- Python 2.7, 3.4, 3.5, or 3.6
- `numpy <http://www.numpy.org/>`__ (1.10.0 or later)
- `pandas <http://pandas.pydata.org/>`__ (0.13.1 or later)


Optional Dependencies
---------------------

For IO (HDF, Excel)
~~~~~~~~~~~~~~~~~~~

- `pytables <http://www.pytables.org/>`__:
for working with files in HDF5 format.
- `xlrd <http://www.python-excel.org/>`__:
for reading data and formatting information from older Excel files (ie: .xls)
- `openpyxl <http://www.python-excel.org/>`__:
recommended package for reading and writing
Excel 2010 files (ie: .xlsx)
- `xlsxwriter <http://www.python-excel.org/>`__:
alternative package for writing data, formatting
information and, in particular, charts in the
Excel 2010 format (ie: .xlsx)
- `larray_eurostat <https://github.com/larray-project/larray_eurostat>`__:
provides functions to easily download EUROSTAT files as larray objects.
Currently limited to TSV files.

.. _start-dependencies-gui:

For Graphical User Interface
~~~~~~~~~~~~~~~~~~~~~~~~~~~~

LArray includes a graphical user interface to view, edit and compare arrays.

- `pyqt <https://riverbankcomputing.com/software/pyqt/intro>`__ (4 or 5):
required by `larray-editor` (see below).
- `pyside <https://wiki.qt.io/PySide>`__:
alternative to PyQt.
- `qtpy <https://github.com/spyder-ide/qtpy>`__:
required by `larray-editor`.
Provides support for PyQt5, PyQt4 and PySide using the PyQt5 layout.
- `larray-editor <https://github.com/larray-project/larray-editor>`__:
required to use the graphical user interface associated with larray.
It assumes that `qtpy` and `pyqt` or `pyside` are installed.
On windows, creates also a menu ``LArray`` in the Windows Start Menu.

For plotting
~~~~~~~~~~~~

- `matplotlib <http://matplotlib.org/>`__:
required for plotting.

.. _start-documentation:

Documentation
=============

The official documentation is hosted on ReadTheDocs at http://larray.readthedocs.io/en/stable/

.. _start-get-in-touch:

Get in touch
============

- Report bugs, suggest features or view the source code `on GitHub`_.
- For questions, ideas or general discussion, use the `mailing list`_.

.. _on GitHub: http://github.com/liam2/larray
.. _mailing list: https://groups.google.com/forum/#!forum/larray

.. end-readme-file

.. |build-status| image:: https://travis-ci.org/liam2/larray.svg?branch=master
:alt: build status
:scale: 100%
:target: https://travis-ci.org/liam2/larray

.. |docs| image:: https://readthedocs.org/projects/larray/badge/?version=stable
:alt: Documentation Status
:scale: 100%
:target: https://larray.readthedocs.io/en/latest/?badge=stable

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

larray-0.25.1.tar.gz (2.3 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

larray-0.25.1-py2.py3-none-any.whl (2.3 MB view details)

Uploaded Python 2Python 3

File details

Details for the file larray-0.25.1.tar.gz.

File metadata

  • Download URL: larray-0.25.1.tar.gz
  • Upload date:
  • Size: 2.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for larray-0.25.1.tar.gz
Algorithm Hash digest
SHA256 bfc378063fd36fafaf9ed343c59c1ee8bf5c0c9d28d42f8edc0fd166d1d7eb6a
MD5 fa4711aaea77c7eac91d611b918829bd
BLAKE2b-256 bcad5b8b494a0b0fc730b11497e59bb5fd81a307af3c908621adf2dd3f220dc0

See more details on using hashes here.

File details

Details for the file larray-0.25.1-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for larray-0.25.1-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 354555ee3e20194532c12b878895422fc2644de115c777b118631d1eba2a95f1
MD5 3cdde8251b475de51ba82f2a878678b8
BLAKE2b-256 446375ee485cc27673ac36c8edc0c1985dde75a8a2c1c55055292db867122d77

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page