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Source: python-cartopy
Maintainer: Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
Uploaders: Ghislain Antony Vaillant <ghisvail@gmail.com>,
Antonio Valentino <antonio.valentino@tiscali.it>
Section: python
Priority: optional
Rules-Requires-Root: no
Build-Depends: cython3,
debhelper-compat (= 13),
dh-python,
dh-sequence-numpy3,
dh-sequence-python3,
pybuild-plugin-pyproject,
python3-all-dev,
python3-fiona,
python3-matplotlib,
python3-numpy,
python3-packaging,
python3-pil,
python3-pykdtree,
python3-pyproj (>= 3.1.0),
python3-pyshp,
python3-pytest,
python3-pytest-mpl,
python3-scipy,
python3-setuptools,
python3-setuptools-scm,
python3-shapely,
python3-tk
Standards-Version: 4.7.0
Vcs-Browser: https://salsa.debian.org/debian-gis-team/python-cartopy
Vcs-Git: https://salsa.debian.org/debian-gis-team/python-cartopy.git
Homepage: https://scitools.org.uk/cartopy/
Package: python3-cartopy
Architecture: any
Depends: python-cartopy-data (= ${source:Version}),
${shlibs:Depends},
${python3:Depends},
${misc:Depends}
Suggests: python3-fiona,
python3-gdal,
python3-matplotlib,
python3-owslib,
python3-pil,
python3-pykdtree,
python3-scipy
Description: Cartographic library for Python 3
Cartopy is a Python package designed to make drawing maps for data analysis
and visualisation easy.
.
It features:
.
- object oriented projection definitions
- point, line, polygon and image transformations between projections
- integration to expose advanced mapping in matplotlib with a simple and
intuitive interface
- powerful vector data handling by integrating shapefile reading with
Shapely capabilities
.
This package provides the Python 3 library.
Package: python-cartopy-data
Architecture: all
Depends: ${misc:Depends}
Description: cartographic library for Python (package data)
Cartopy is a Python package designed to make drawing maps for data analysis
and visualisation easy.
.
It features:
.
- object oriented projection definitions
- point, line, polygon and image transformations between projections
- integration to expose advanced mapping in matplotlib with a simple and
intuitive interface
- powerful vector data handling by integrating shapefile reading with
Shapely capabilities
.
This package provides common data files necessary to the library.
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