Multi-dimensional data arrays with labeled dimensions

Project description

Multi-dimensional data arrays with labeled dimensions

A Python library enabling a modern and intuitive way of working with scientific data in Jupyter notebooks

scipp is heavily inspired by xarray. It enriches raw NumPy-like multi-dimensional arrays of data by adding named dimensions and associated coordinates. Multiple arrays can be combined into datasets. While for many applications xarray is certainly more suitable (and definitely much more matured) than scipp, there is a number of features missing in other situations. If your use case requires one or several of the items on the following list, using scipp may be worth considering:

Physical units are stored with each data or coord array and are handled in arithmetic operations.
Propagation of uncertainties.
Support for histograms, i.e., bin-edge axes, which are by 1 longer than the data extent.
Support for scattered data and non-destructive binning. This includes first and foremost event data, a particular form of sparse data with arrays of random-length lists, with very small list entries.
Support for masks stored with data.
Internals written in C++ for better performance (for certain applications), in combination with Python bindings.

Project details

Release history Release notifications | RSS feed

24.2.0

Feb 19, 2024

23.12.0

Dec 20, 2023

23.11.1

Dec 13, 2023

23.11.0

Nov 14, 2023

23.8.0

Sep 4, 2023

23.7.0

Jul 5, 2023

23.5.0

May 31, 2023

23.3.2

Apr 12, 2023

23.3.1

Apr 3, 2023

23.3.0

Mar 16, 2023

23.1.1

Jan 27, 2023

23.1.0

Jan 26, 2023

22.11.0

Nov 25, 2022

0.17.0

Oct 26, 2022

0.16.4

Sep 28, 2022

0.16.3

Aug 29, 2022

0.16.2

Aug 26, 2022

0.16.1

Aug 24, 2022

0.16.0

Aug 24, 2022

0.15.1

Jul 20, 2022

0.15.0

Jul 19, 2022

0.14.1

Jul 18, 2022

0.14.0

Jun 1, 2022

0.13.1

Apr 7, 2022

0.13.0

Mar 29, 2022

This version

0.12.4

Mar 15, 2022

0.12.3

Mar 3, 2022

0.12.2

Mar 2, 2022

0.12.1

Feb 28, 2022

0.12.0

Feb 16, 2022

0.11.1

Jan 13, 2022

0.11.0

Jan 13, 2022

0.10.1

Dec 8, 2021

0.10.1rc3 pre-release

Dec 8, 2021

0.10.1rc2 pre-release

Dec 8, 2021

0.10.1rc1 pre-release

Dec 8, 2021

0.10.0

Dec 8, 2021

0.10.0rc4 pre-release

Dec 7, 2021

0.10.0rc3 pre-release

Dec 7, 2021

0.10.0rc2 pre-release

Dec 6, 2021

0.10.0rc1 pre-release

Dec 6, 2021

0.0.1

Jun 20, 2019

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