pyshpgeocode | Python package for shapefile-based geocoding | Map library
kandi X-RAY | pyshpgeocode Summary
kandi X-RAY | pyshpgeocode Summary
pyshpgeocode is a Python library typically used in Manufacturing, Utilities, Aerospace, Defense, Geo, Map applications. pyshpgeocode has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.
This Python package is for reverse geocoding of data points to shapefile regions. It is developed primarily for assigning administrative region codes to a set of geo coordinates (in standard latitude/longitude). All you need is a shapefile of the regions you want to geocode to.
This Python package is for reverse geocoding of data points to shapefile regions. It is developed primarily for assigning administrative region codes to a set of geo coordinates (in standard latitude/longitude). All you need is a shapefile of the regions you want to geocode to.
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pyshpgeocode has a low active ecosystem.
It has 22 star(s) with 10 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 547 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of pyshpgeocode is current.
Quality
pyshpgeocode has 0 bugs and 0 code smells.
Security
pyshpgeocode has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
pyshpgeocode code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
pyshpgeocode does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
pyshpgeocode releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
Installation instructions are not available. Examples and code snippets are available.
pyshpgeocode saves you 52 person hours of effort in developing the same functionality from scratch.
It has 138 lines of code, 7 functions and 2 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed pyshpgeocode and discovered the below as its top functions. This is intended to give you an instant insight into pyshpgeocode implemented functionality, and help decide if they suit your requirements.
- Returns the closest point in the bounding box
- Check if a point is in a polygon
- Inflate a bounding box
- Check if a point is within a bounding box
Get all kandi verified functions for this library.
pyshpgeocode Key Features
No Key Features are available at this moment for pyshpgeocode.
pyshpgeocode Examples and Code Snippets
No Code Snippets are available at this moment for pyshpgeocode.
Community Discussions
Trending Discussions on pyshpgeocode
QUESTION
Fetching NUTS2 region from geocoordinates and/or postalcode
Asked 2019-Feb-26 at 10:27
I have a df that contains data including geocoordinates and postcodes.
...ANSWER
Answered 2019-Feb-26 at 10:27If I understand your code correctly you are re-creating the gc
object for every single request from the same input file. I don't understand why.
One possibility therefore could be to do the following:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install pyshpgeocode
You can download it from GitHub.
You can use pyshpgeocode 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 pyshpgeocode 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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