gnu: Add python-osmnx

* gnu/packages/geo.scm (python-osmnx): New variable.

Signed-off-by: Ludovic Courtès <ludo@gnu.org>
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Felix Gruber 2022-05-19 19:46:06 +00:00 committed by Ludovic Courtès
parent 41ab2f0d76
commit e5c5ba749c
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@ -739,6 +739,71 @@ (define-public python-geopandas
require a spatial database such as PostGIS.")
(license license:bsd-3)))
(define-public python-osmnx
(package
(name "python-osmnx")
(version "1.1.2")
(source
(origin
; Fetch from github as the pypi package is missing the tests dir.
(method git-fetch)
(uri (git-reference
(url "https://github.com/gboeing/osmnx")
(commit (string-append "v" version))))
(file-name (git-file-name name version))
(sha256
(base32 "1n8qjn184p5a2s3j6x6iyc1i7p3l3xnbqqxm6ajwgwv6j5fw1d5a"))))
(build-system python-build-system)
(arguments
'(#:phases
(modify-phases %standard-phases
(replace 'check
(lambda* (#:key tests? inputs outputs #:allow-other-keys)
(when tests?
(add-installed-pythonpath inputs outputs)
; TODO: Disable network tests
(invoke "pytest" "tests"
"-k"
(string-append
;; The following tests require network access.
"not test_geocode_to_gdf"
" and not test_stats"
" and not test_osm_xml"
" and not test_elevation"
" and not test_routing"
" and not test_plots"
" and not test_find_nearest"
" and not test_api_endpoints"
" and not test_graph_save_load"
" and not test_graph_from_functions"
" and not test_geometries"))))))))
(propagated-inputs
(list python-folium
python-geopandas
python-matplotlib
python-networkx
python-numpy
python-pandas
python-pyproj
python-requests
python-rtree
python-shapely))
(native-inputs
(list python-numpy python-pytest))
(home-page "https://github.com/gboeing/osmnx")
(synopsis
"Retrieve, model, analyze, and visualize OpenStreetMap street networks")
(description
"OSMnx is a Python library that lets you download geospatial data
from OpenStreetMap and model, project, visualize, and analyze real-world
street networks and any other geospatial geometries. You can download
and model walkable, drivable, or bikeable urban networks with a single
line of Python code then easily analyze and visualize them. You can
just as easily download and work with other infrastructure types,
amenities/points of interest, building footprints, elevation data,
street bearings/orientations, and speed/travel time.")
(license license:expat)))
(define-public mapnik
(package
(name "mapnik")