mapboxgl-jupyter | Use Mapbox GL JS to visualize data | Data Visualization library

by mapbox Python Version: 0.10.2 License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | mapboxgl-jupyter Summary

mapboxgl-jupyter is a Python library typically used in Analytics, Data Visualization, Jupyter applications. mapboxgl-jupyter 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 mapboxgl-jupyter' or download it from GitHub, PyPI.

Use Mapbox GL JS to visualize data in a Python Jupyter notebook

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Quality

Security

License

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Support

mapboxgl-jupyter has a low active ecosystem.

It has 632 star(s) with 137 fork(s). There are 119 watchers for this library.

It had no major release in the last 12 months.

There are 34 open issues and 67 have been closed. On average issues are closed in 76 days. There are 9 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of mapboxgl-jupyter is 0.10.2

Quality

mapboxgl-jupyter has 0 bugs and 0 code smells.

Security

mapboxgl-jupyter has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

mapboxgl-jupyter code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

mapboxgl-jupyter is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

mapboxgl-jupyter releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

mapboxgl-jupyter saves you 1619 person hours of effort in developing the same functionality from scratch.

It has 3596 lines of code, 122 functions and 30 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed mapboxgl-jupyter and discovered the below as its top functions. This is intended to give you an instant insight into mapboxgl-jupyter implemented functionality, and help decide if they suit your requirements.

Add common template variables
Map color_stops
Return value based on numeric_stops
Generate a list of floats that match the numeric property
Convert geojson data to dict
Convert an RGB color string to a tuple
Generate a list of color stops
Add template variables
Convert geojson to GeoJSON
Convert date columns in a Pandas DataFrame
Add map template variables
Add template variables to options
Generate a list of floats from the data

Get all kandi verified functions for this library.

mapboxgl-jupyter Key Features

No Key Features are available at this moment for mapboxgl-jupyter.

mapboxgl-jupyter Examples and Code Snippets

No Code Snippets are available at this moment for mapboxgl-jupyter.

Community Discussions

Trending Discussions on mapboxgl-jupyter

Jupyter dosen't return the MapBox map

QUESTION

Jupyter dosen't return the MapBox map

Asked 2018-Jun-27 at 23:50

I am trying to test the jupyter version of mapbox gl js.

i copied the code of this example in my jupyter notebook , and attempted to return the map,

the result is an empty map !!:

what is wrong ? please let me know if the map is returned in your devices

...

ANSWER

Answered 2018-Jun-27 at 18:38

I solved my problem,the problem was with the token :

so instead of:

token=os.getenv(my_public_token)

(this function reads a system environment variable so i need ti set a MAPBOX_ACCESS_TOKEN environment variable if i want to use it)

the solution is directly :
token=my_public_token

Note: my_public_token is the public token of your mapbox account

Source https://stackoverflow.com/questions/51044912

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install mapboxgl-jupyter

You can install using 'pip install mapboxgl-jupyter' or download it from GitHub, PyPI.
You can use mapboxgl-jupyter 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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