python-rtree | Implement rtree range queries and nearest neighbour queries | Analytics library
kandi X-RAY | python-rtree Summary
kandi X-RAY | python-rtree Summary
python-rtree is a Python library typically used in Analytics applications. python-rtree has no bugs, it has no vulnerabilities, it has a Weak Copyleft License and it has low support. However python-rtree build file is not available. You can download it from GitHub.
Implement rtree range queries and nearest neighbour queries
Implement rtree range queries and nearest neighbour queries
Support
Quality
Security
License
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Support
python-rtree has a low active ecosystem.
It has 13 star(s) with 2 fork(s). There are 3 watchers for this library.
It had no major release in the last 6 months.
There are 1 open issues and 0 have been closed. On average issues are closed in 984 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of python-rtree is current.
Quality
python-rtree has 0 bugs and 0 code smells.
Security
python-rtree has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
python-rtree code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
python-rtree is licensed under the LGPL-3.0 License. This license is Weak Copyleft.
Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.
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python-rtree releases are not available. You will need to build from source code and install.
python-rtree has no build file. You will be need to create the build yourself to build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed python-rtree and discovered the below as its top functions. This is intended to give you an instant insight into python-rtree implemented functionality, and help decide if they suit your requirements.
- Answer the results of nn queries
- Find the best first matching algorithm
- Compute the distance between the given query point
- Calculate the nearest neighbor
- Build a R - Tree
- Add a point to the tree
- Updates the range
- Updates this node
- Read the ranges from a query file
- Get the query from the next line
- Sort query
- Split the tree
- Sort children by index
- Returns the best split
- Answer a list of RangeQueries
- Return the number of points covered by the given ranges
- Return the number of segments covered by the query range
- Build a data set
- Write a point to file
- Scan a set of points
- Checks if a point is intersecting
- Builds a rectangle
- Scan NN
- Read the scan range from the file
- Reads the points from a dataset file
- Scans a dataset file and returns a list of points
- Writes a point to a file
Get all kandi verified functions for this library.
python-rtree Key Features
No Key Features are available at this moment for python-rtree.
python-rtree Examples and Code Snippets
No Code Snippets are available at this moment for python-rtree.
Community Discussions
Trending Discussions on python-rtree
QUESTION
Installation pyproj does not work returned 127
Asked 2020-Nov-11 at 21:15
I want to install pyproj on Debian on Docker.
This is my script:
...ANSWER
Answered 2020-Nov-11 at 21:15https://pyproj4.github.io/pyproj/stable/installation.html
I would recommend either:
- Upgrade to pip>=19 so PROJ 7.2 is in the wheel.
ENV PROJ_DIR=/path/to/proj/installand when you install PROJ:./configure --prefix $PROJ_DIR
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install python-rtree
You can download it from GitHub.
You can use python-rtree like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use python-rtree like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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