ndcube 2.3.0-1 source package in Ubuntu
Changelog
ndcube (2.3.0-1) unstable; urgency=medium * New upstream version 2.3.0 * Rediff patches. Drop astropy-7 dependency patch: applied upstream * Don't install examples gallery * New build dependency python3-pytest-mpl -- Ole Streicher <email address hidden> Sat, 18 Jan 2025 16:08:51 +0100
Upload details
- Uploaded by:
- Debian Astronomy Maintainers
- Uploaded to:
- Sid
- Original maintainer:
- Debian Astronomy Maintainers
- Architectures:
- all
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section |
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Downloads
File | Size | SHA-256 Checksum |
---|---|---|
ndcube_2.3.0-1.dsc | 2.5 KiB | 0babbe7e7dc44ee1f454bd0482fb213b46cfe09069e9063da780cc72d4430f00 |
ndcube_2.3.0.orig.tar.gz | 671.7 KiB | 309d938c068e090b3b1ad207fd1940ff2c7a469b5079e4790b24d987c62beadf |
ndcube_2.3.0-1.debian.tar.xz | 11.0 KiB | da330343ab7a8529b03eeaf8f73ced48305afa7051735ef2557e8dd9e9f25309 |
Available diffs
- diff from 2.2.4-2 to 2.3.0-1 (89.5 KiB)
No changes file available.
Binary packages built by this source
- python3-ndcube: Package for multi-dimensional coordinate-aware arrays (Python 3)
ndcube is a SunPy affiliated package for manipulating, inspecting and
visualizing multi-dimensional contiguous and non-contiguous coordinate-aware
data arrays. It combines data, uncertainties, units, metadata, masking, and
coordinate transformations into classes with unified slicing and generic
coordinate transformations and plotting/animation capabilities. It is
designed to handle data of any number of dimensions and axis types (e.g.
spatial, temporal, spectral, etc.) whose relationship between the array
elements and the real world can be described by World Coordinate System (WCS)
translations.
.
This is the Python 3 version of the package.
- python3-ndcube-doc: Package for multi-dimensional coordinate-aware arrays (documentation)
ndcube is a SunPy affiliated package for manipulating, inspecting and
visualizing multi-dimensional contiguous and non-contiguous coordinate-aware
data arrays. It combines data, uncertainties, units, metadata, masking, and
coordinate transformations into classes with unified slicing and generic
coordinate transformations and plotting/animation capabilities. It is
designed to handle data of any number of dimensions and axis types (e.g.
spatial, temporal, spectral, etc.) whose relationship between the array
elements and the real world can be described by World Coordinate System (WCS)
translations.
.
This is the common documentation package.