Source: ndcube Section: python Priority: optional Maintainer: Debian Astro Team Uploaders: Vincent Prat Build-Depends: debhelper (>= 13), debhelper-compat (= 13), dh-python, graphviz, python3-all, python3-astropy, python3-astropy-helpers, python3-parfive, python3-pytest, python3-setuptools, python3-setuptools-scm, python3-sphinx (>= 2), python3-sphinx-astropy, python3-sphinx-automodapi, python3-sunpy, python3-tk Standards-Version: 4.5.1 Homepage: https://pypi.python.org/pypi/ndcube/ Vcs-Git: https://salsa.debian.org/debian-astro-team/ndcube.git Vcs-Browser: https://salsa.debian.org/debian-astro-team/ndcube/ Rules-Requires-Root: no Package: python3-ndcube Architecture: all Depends: ${python3:Depends}, ${misc:Depends} Suggests: python3-ndcube-doc Description: 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. Package: python3-ndcube-doc Architecture: all Multi-Arch: foreign Section: doc Depends: ${sphinxdoc:Depends}, ${misc:Depends} Description: 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.