ndcube 1.3.2-2 source package in Ubuntu

Changelog

ndcube (1.3.2-2) unstable; urgency=medium

  * Add parfive to the test dependencies (Closes: #963954)
  * Bump debhelper compatibility version to 13
  * Change back to the older maintainer email address

 -- Vincent Prat <email address hidden>  Sat, 04 Jul 2020 09:08:25 +0200

Upload details

Uploaded by:
Debian Astronomy Maintainers on 2020-07-04
Uploaded to:
Sid
Original maintainer:
Debian Astronomy Maintainers
Architectures:
all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Groovy release on 2020-07-04 universe misc

Builds

Groovy: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
ndcube_1.3.2-2.dsc 2.3 KiB b5491117e84754c3ecf38a811d6177f4260402d636c82d4468f9251409d4a02c
ndcube_1.3.2.orig.tar.gz 210.7 KiB 26d27e5ec855a77bad3d42b7b4ec1d6f3c9349aaddf8e2ff8437a2117f01b25d
ndcube_1.3.2-2.debian.tar.xz 9.0 KiB d357d05b17c5c025a09bc8b5c5fb94514f63b1f804e8aa1275395f4f141b66e3

Available diffs

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.