How to Install and Uninstall python3-rtree.noarch Package on Oracle Linux 9
Last updated: November 26,2024
1. Install "python3-rtree.noarch" package
In this section, we are going to explain the necessary steps to install python3-rtree.noarch on Oracle Linux 9
$
sudo dnf update
Copied
$
sudo dnf install
python3-rtree.noarch
Copied
2. Uninstall "python3-rtree.noarch" package
Please follow the instructions below to uninstall python3-rtree.noarch on Oracle Linux 9:
$
sudo dnf remove
python3-rtree.noarch
Copied
$
sudo dnf autoremove
Copied
3. Information about the python3-rtree.noarch package on Oracle Linux 9
Last metadata expiration check: 2:48:37 ago on Thu Feb 15 07:50:05 2024.
Available Packages
Name : python3-rtree
Version : 1.0.1
Release : 1.el9
Architecture : noarch
Size : 50 k
Source : python-Rtree-1.0.1-1.el9.src.rpm
Repository : epel
Summary : R-Tree spatial index for Python GIS
URL : https://github.com/Toblerity/rtree
License : MIT
Description : Rtree is a ctypes Python wrapper of libspatialindex that provides a number of
: advanced spatial indexing features for the spatially curious Python user. These
: features include:
:
: • Nearest neighbor search
: • Intersection search
: • Multi-dimensional indexes
: • Clustered indexes (store Python pickles directly with index entries)
: • Bulk loading
: • Deletion
: • Disk serialization
: • Custom storage implementation (to implement spatial indexing in ZODB, for
: example)
Available Packages
Name : python3-rtree
Version : 1.0.1
Release : 1.el9
Architecture : noarch
Size : 50 k
Source : python-Rtree-1.0.1-1.el9.src.rpm
Repository : epel
Summary : R-Tree spatial index for Python GIS
URL : https://github.com/Toblerity/rtree
License : MIT
Description : Rtree is a ctypes Python wrapper of libspatialindex that provides a number of
: advanced spatial indexing features for the spatially curious Python user. These
: features include:
:
: • Nearest neighbor search
: • Intersection search
: • Multi-dimensional indexes
: • Clustered indexes (store Python pickles directly with index entries)
: • Bulk loading
: • Deletion
: • Disk serialization
: • Custom storage implementation (to implement spatial indexing in ZODB, for
: example)