larray 0.32.1

N-D labeled arrays in Python

LArray: N-dimensional labelled arrays

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: Array objects can be converted into pandas DataFrame and vice versa.

Installation

Pre-built binaries

The easiest route to installing larray is through Conda. For all platforms installing larray can be done with:

conda install -c larray-project 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 larray-project larrayenv

You can also first add the channel larray-project to your channel list

conda config --add channels larray-project

and then install larray (or larrayenv) as

conda install larray

Building from source

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

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

python setup.py install

Required Dependencies

• Python 2.7, 3.6 or 3.7

• numpy (1.13 or later)

• pandas (0.20 or later)

Optional Dependencies

For IO (HDF, Excel)

• pytables: for working with files in HDF5 format.

• xlwings: recommended package to get benefit of all Excel features of LArray. Only available on Windows and Mac platforms.

• 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, edit and compare arrays.

• pyqt (4 or 5): required by larray-editor (see below).

• pyside: alternative to PyQt.

• qtpy: required by larray-editor. Provides support for PyQt5, PyQt4 and PySide using the PyQt5 layout.

• 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: required for plotting.

Documentation

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

Get in touch

• To be informed of each new release, please subscribe to the announce mailing list.

• For questions, ideas or general discussion, please use the Google Users Group.

• To report bugs, suggest features or view the source code, please go to our GitHub website.