How to Install and Uninstall python3-geopandas.noarch Package on Fedora 34
Last updated: October 07,2024
1. Install "python3-geopandas.noarch" package
This guide let you learn how to install python3-geopandas.noarch on Fedora 34
$
sudo dnf update
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$
sudo dnf install
python3-geopandas.noarch
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2. Uninstall "python3-geopandas.noarch" package
Please follow the steps below to uninstall python3-geopandas.noarch on Fedora 34:
$
sudo dnf remove
python3-geopandas.noarch
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$
sudo dnf autoremove
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3. Information about the python3-geopandas.noarch package on Fedora 34
Last metadata expiration check: 3:34:11 ago on Tue Sep 6 02:10:55 2022.
Available Packages
Name : python3-geopandas
Version : 0.10.2
Release : 1.fc34
Architecture : noarch
Size : 1.1 M
Source : python-geopandas-0.10.2-1.fc34.src.rpm
Repository : updates
Summary : Geographic Pandas extensions
URL : https://pypi.python.org/pypi/geopandas
License : BSD
Description : GeoPandas is a project to add support for geographic data to Pandas objects.
:
: The goal of GeoPandas is to make working with geospatial data in Python easier.
: It combines the capabilities of Pandas and Shapely, providing geospatial
: operations in Pandas and a high-level interface to multiple geometries to
: Shapely. GeoPandas enables you to easily do operations in Python that would
: otherwise require a spatial database such as PostGIS.
Available Packages
Name : python3-geopandas
Version : 0.10.2
Release : 1.fc34
Architecture : noarch
Size : 1.1 M
Source : python-geopandas-0.10.2-1.fc34.src.rpm
Repository : updates
Summary : Geographic Pandas extensions
URL : https://pypi.python.org/pypi/geopandas
License : BSD
Description : GeoPandas is a project to add support for geographic data to Pandas objects.
:
: The goal of GeoPandas is to make working with geospatial data in Python easier.
: It combines the capabilities of Pandas and Shapely, providing geospatial
: operations in Pandas and a high-level interface to multiple geometries to
: Shapely. GeoPandas enables you to easily do operations in Python that would
: otherwise require a spatial database such as PostGIS.