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N-D labeled arrays in Python

Project Description


larray provides a Labelled Array class


Pre-built binaries

The easiest route to installing larray is through Conda. 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

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

python install

Required Dependencies

  • Python 2.7, 3.4, 3.5, or 3.6
  • numpy (1.10.0 or later)
  • pandas (0.13.1 or later)

Optional Dependencies

For IO (HDF, Excel)

  • pytables: for working with files in HDF5 format.
  • xlrd: for reading data and formatting information from older Excel files (ie: .xls)
  • openpyxl: recommended package for reading and writing Excel 2010 files (ie: .xlsx)
  • xlsxwriter: alternative package for writing data, formatting information and, in particular, charts in the Excel 2010 format (ie: .xlsx)
  • larray_eurostat: provides functions to easily download EUROSTAT files as larray objects. Currently limited to TSV files.

For Graphical User Interface

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

  • pyqt (4 or 5): for using the graphical user interface included in larray.
  • pyside: alternative to PyQt.
  • qtpy: required if you install pyqt or pyside. Provides support for PyQt5, PyQt4 and PySide using the PyQt5 layout

For plotting


If larray has been installed through conda, update is done via

conda update larray

Be careful if you have installed optional dependencies. In that case, you may have to update some of them.

If larray has been installed through larrayenv, you simply must do

conda update larrayenv
Release History

Release History

This version
History Node


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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
larray-0.21-py2.py3-none-any.whl (161.0 kB) Copy SHA256 Checksum SHA256 3.5 Wheel Mar 29, 2017
larray-0.21.tar.gz (153.3 kB) Copy SHA256 Checksum SHA256 Source Mar 29, 2017

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