geojsonio.py | Open GeoJSON data on geojson.io
kandi X-RAY | geojsonio.py Summary
kandi X-RAY | geojsonio.py Summary
geojsonio.py is a Python library typically used in Data Preparation applications. geojsonio.py has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install geojsonio.py' or download it from GitHub, PyPI.
geojsonio.py
geojsonio.py
Support
Quality
Security
License
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Support
geojsonio.py has a low active ecosystem.
It has 103 star(s) with 22 fork(s). There are 9 watchers for this library.
It had no major release in the last 6 months.
There are 6 open issues and 3 have been closed. On average issues are closed in 365 days. There are 2 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of geojsonio.py is current.
Quality
geojsonio.py has 0 bugs and 0 code smells.
Security
geojsonio.py has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
geojsonio.py code analysis shows 0 unresolved vulnerabilities.
There are 3 security hotspots that need review.
License
geojsonio.py is licensed under the BSD-2-Clause License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
geojsonio.py releases are not available. You will need to build from source code and install.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
geojsonio.py saves you 94 person hours of effort in developing the same functionality from scratch.
It has 240 lines of code, 22 functions and 4 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed geojsonio.py and discovered the below as its top functions. This is intended to give you an instant insight into geojsonio.py implemented functionality, and help decide if they suit your requirements.
- Make a gist URL
- Convert a GeoJSON feature collection into a GeoJSON string
- Convert a GeoJSON feature object to a Feature object
- Returns a URL for a data URL
- Returns the URL for a gist
- Create a gist from contents
- Display the contents of a file
- Make a url to a gist
- Embed an IPython embed
Get all kandi verified functions for this library.
geojsonio.py Key Features
No Key Features are available at this moment for geojsonio.py.
geojsonio.py Examples and Code Snippets
No Code Snippets are available at this moment for geojsonio.py.
Community Discussions
Trending Discussions on geojsonio.py
QUESTION
display() in geojsonio gives 401 error
Asked 2018-Oct-24 at 12:24
I am trying to Visualize a geojson
file.
ANSWER
Answered 2018-Oct-24 at 12:24It tries to create a gist on GitHub. My guess is that it was once possible to do this anonymously, but not anymore. Now you need to authenticate.
What needs to be changed is the _make_gist
in geojsonio.py
. Replace
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install geojsonio.py
You can install using 'pip install geojsonio.py' or download it from GitHub, PyPI.
You can use geojsonio.py 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 geojsonio.py 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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