graphics/py-geopandas: Update to 0.6.0

PR:		241171
Submitted by:	Loïc Bartoletti <lbartoletti@tuxfamily.org> (maintainer)
This commit is contained in:
Steve Wills 2019-10-15 16:35:58 +00:00
parent 430356fae4
commit d9a9f7223f
Notes: svn2git 2021-03-31 03:12:20 +00:00
svn path=/head/; revision=514550
3 changed files with 11 additions and 11 deletions

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# $FreeBSD$
PORTNAME= geopandas
PORTVERSION= 0.5.1
PORTVERSION= 0.6.0
CATEGORIES= graphics python
MASTER_SITES= CHEESESHOP
PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}

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TIMESTAMP = 1564158011
SHA256 (geopandas-0.5.1.tar.gz) = f0c99a5055bef99a31f63480bef0048f164dbadc5a9af081fe25c1c5c2dc7a87
SIZE (geopandas-0.5.1.tar.gz) = 897236
TIMESTAMP = 1570683374
SHA256 (geopandas-0.6.0.tar.gz) = 3e98a2d21917562256ac01e2f1d568b7410f0476793fb70d4191777de6322b04
SIZE (geopandas-0.6.0.tar.gz) = 918524

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GeoPandas is a project to add support for geographic data to pandas objects.
It currently implements GeoSeries and GeoDataFrame types which are subclasses
of pandas.Series and pandas.DataFrame respectively. GeoPandas objects can act
GeoPandas is a project to add support for geographic data to pandas objects.
It currently implements GeoSeries and GeoDataFrame types which are subclasses
of pandas.Series and pandas.DataFrame respectively. GeoPandas objects can act
on shapely geometry objects and perform geometric operations.
GeoPandas geometry operations are cartesian. The coordinate reference system
(crs) can be stored as an attribute on an object, and is automatically set when
loading from a file. Objects may be transformed to new coordinate systems with
the to_crs() method. There is currently no enforcement of like coordinates for
GeoPandas geometry operations are cartesian. The coordinate reference system
(crs) can be stored as an attribute on an object, and is automatically set when
loading from a file. Objects may be transformed to new coordinate systems with
the to_crs() method. There is currently no enforcement of like coordinates for
operations, but that may change in the future.
WWW: https://pypi.org/project/geopandas/