bokeh-notebooks | Interactive Web Plotting with Bokeh in IPython notebook | Data Visualization library

by bokeh Jupyter Notebook Version: strata-nyc-2016 License: BSD-3-Clause

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | bokeh-notebooks Summary

bokeh-notebooks is a Jupyter Notebook library typically used in Analytics, Data Visualization, Jupyter applications. bokeh-notebooks has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Welcome to [Bokeh] in Jupyter Notebooks!. Bokeh is a Python interactive visualization library for large datasets that natively uses the latest web technologies. Its goal is to provide elegant, concise construction of novel graphics in the style of Protovis/D3, while delivering high-performance interactivity over large data to thin clients. These Jupyter notebooks provide useful Bokeh examples and a tutorial to get started. You can download the repository and execute jupyter notebook from your terminal to try out the notebooks locally on your own machine. Alternatively, you can immediately launch live versions of the Tutorial notebooks in your browser on [mybinder.org] Please visit the [Bokeh web page] for more information and full documentation, and the [Bokeh Discourse] for community discussion.

Support

Quality

Security

License

Reuse

Support

bokeh-notebooks has a low active ecosystem.

It has 708 star(s) with 672 fork(s). There are 66 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 44 have been closed. On average issues are closed in 241 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of bokeh-notebooks is strata-nyc-2016

Quality

bokeh-notebooks has 0 bugs and 0 code smells.

Security

bokeh-notebooks has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

bokeh-notebooks code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

bokeh-notebooks is licensed under the BSD-3-Clause License. This license is Permissive.

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

Reuse

bokeh-notebooks releases are not available. You will need to build from source code and install.

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of bokeh-notebooks

Get all kandi verified functions for this library.

bokeh-notebooks Key Features

No Key Features are available at this moment for bokeh-notebooks.

bokeh-notebooks Examples and Code Snippets

No Code Snippets are available at this moment for bokeh-notebooks.

Community Discussions

Trending Discussions on bokeh-notebooks

Bokeh latest version doesnt' support charts library for simply create a Boxplot

How to load GOOGLE_API_KEY with Python and Bokeh

QUESTION

Bokeh latest version doesnt' support charts library for simply create a Boxplot

Asked 2021-Dec-20 at 17:55

I want to create an interative Boxplot in Google Colab with Bokeh.

I use Bokeh lastest version 2.4.2:

...

ANSWER

Answered 2021-Dec-20 at 17:55

bokeh ditched their high-level chart interface quite some time ago because it was too much to maintain. Instead they adopted a different package that provided a high level charting interface called Holoviews

Holoviews works with many different renderers, but bokeh is the default, so you can have Holoviews create your plot objects, and then use bokeh to tweak/fine tune them.

https://holoviews.org/gallery/demos/bokeh/boxplot_chart.html#demos-bokeh-gallery-boxplot-chart.

Source https://stackoverflow.com/questions/70426003

QUESTION

How to load GOOGLE_API_KEY with Python and Bokeh

Asked 2021-Mar-17 at 10:09

I am trying to teach myself to use Bokeh with the example on the Bokeh website shown below,

Bokeh Tutorial

I have written the following code;

...

ANSWER

Answered 2021-Mar-17 at 10:09

You can either replace

Source https://stackoverflow.com/questions/66267023

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

Vulnerabilities

No vulnerabilities reported

Install bokeh-notebooks

You can download it from GitHub.

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 .

Find more information at: