N-dimensional labelled arrays
LArray is an 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
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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
- Load And Dump Arrays
- Transforming Arrays (Relabeling, Renaming, Reordering, Sorting, …)
- Combining arrays
- Indexing, Selecting and Assigning
- Arithmetic Operations
- Pythonic VS String Syntax
- Inspecting Array objects
- Some Useful Functions
- Working With Sessions
- Compatibility with pandas
- API Reference