ndcube 1.0.1-1 source package in Ubuntu

Changelog

ndcube (1.0.1-1) unstable; urgency=medium

  * Initial release. (Closes: #895013)

 -- Vincent Prat <email address hidden>  Fri, 06 Apr 2018 11:28:46 +0100

Upload details

Uploaded by:
Debian Astronomy Maintainers on 2018-11-06
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
Disco release on 2018-11-10 universe misc

Builds

Disco: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
ndcube_1.0.1-1.dsc 2.1 KiB d70c91eba082805d45bff4628097e69b237da368d78c1f742c5cf1f6ffd10581
ndcube_1.0.1.orig.tar.gz 190.5 KiB e055a564e48f603700798e86cfa14a94c0e21aacba9950f36ac6d4a3464df355
ndcube_1.0.1-1.debian.tar.xz 15.2 KiB a3cf0b0550cdd1747a84a7767fc55f54cacc4ea679a3c76b044229f95b70521d

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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.