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python3-pandas+spss-2.2.3-1.lbn36.x86_64
This is a metapackage bringing in spss extras requires for python3-pandas.
It makes sure the dependencies are installed.
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python3-pandas+sql-other-2.2.3-1.lbn36.x86_64
This is a metapackage bringing in sql-other extras requires for python3-pandas.
It makes sure the dependencies are installed.
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python3-pandas+test-2.2.3-1.lbn36.x86_64
These are the tests for python3-pandas. This package:
• Provides the “pandas.tests” package
• Makes sure the “test” extra dependencies are installed
• Carries additonal weak dependencies for running the tests
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python3-pandas+xml-2.2.3-1.lbn36.x86_64
This is a metapackage bringing in xml extras requires for python3-pandas.
It makes sure the dependencies are installed.
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python3-pandas-stubs-1.5.3.230304-1.lbn36.noarch
pandas-stubs: Public type stubs for pandas[ coordinates:
import polyline
polyline.encode([(38.5, -120.2), (40.7, -120.9), (43.2, -126.4)], 5)
This should return _p~iF~ps|U_ulL~ugC_hgN~eq`@.
You can set the required precision with the optional precision parameter. The default value is 5.
You can encode (lon, lat) tuples by setting geojson=True.
Decoding
To get a set of coordinates represented by a given encoded polyline string:
import polyline
polyline.decode('u{~vFvyys@fS]', 5)
This should return [(40.63179, -8.65708), (40.62855, -8.65693)] in (lat, lon) order.
You
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python3-shillelagh-1.3.4-1.lbn36.noarch
Shillelagh (ʃɪˈleɪlɪ) is a
Python library and CLI that allows you to query many resources (APIs, files, in
memory objects) using SQL. It's both user and developer friendly, making it
trivial to access resources and easy to add support for new ones.
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python3-shillelagh+all-1.3.4-1.lbn36.noarch
This is a metapackage bringing in all extras requires for python3-shillelagh.
It makes sure the dependencies are installed.
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