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.
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.
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.
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- Getting Started
- Presenting LArray objects (Axis, Groups, Array, Session)
- Load And Dump Arrays
- Transforming Arrays (Relabeling, Renaming, Reordering, Sorting, …)
- Combining arrays
- Indexing, Selecting and Assigning
- Arithmetic Operations
- Pythonic VS String Syntax
- Some Useful Functions
- Working With Sessions
- Compatibility with pandas
- API Reference