Plotly-for-python | YouTube playlist on data visualization using Plotly | Data Visualization library

by juanklopper Jupyter Notebook Version: Current License: No License

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kandi X-RAY | Plotly-for-python Summary

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

Files for my YouTube playlist on data visualization using Plotly with Python.

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Plotly-for-python has a low active ecosystem.

It has 25 star(s) with 15 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

Plotly-for-python has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Plotly-for-python is current.

Quality

Plotly-for-python has 0 bugs and 0 code smells.

Security

Plotly-for-python has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Plotly-for-python code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Plotly-for-python does not have a standard license declared.

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Without a license, all rights are reserved, and you cannot use the library in your applications.

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Plotly-for-python Key Features

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Community Discussions

Trending Discussions on Plotly-for-python

Multiple opacities and widths in Mapbox - Plotly for Python

Change Color of an Entire Trace on Hover/Click in Plotly

Dash: implementing a trace highlight callback

QUESTION

Multiple opacities and widths in Mapbox - Plotly for Python

Asked 2022-Jan-03 at 18:00

This is a question that derives from a previous one, which can be found here: Multiple opacities in Mapbox - Plotly for Python

I was having some issues regarding having multiple opacities for multiple traces on a Mapbox map, each opacity associated with a particular value of the dataframe.

After following Rob's helpful answer (see link above), which led to the solution on the first topic, I found myself in another problem, as I want now kind of twist on his code.

While my first approach was to only have variations on the opacity of the traces, I would now need to have both variations on the opacity and the width of each trace, corresponding each of them to a different value on a particular dataframe.

I proceed to copy-paste the first part of Rob's answer, where he declares some functions and creates a dataframe:

...

ANSWER

Answered 2022-Jan-03 at 18:00

given you are using same column to define width and opacity you only need one loop
for width I think linear space is better than geometric space, hence have created width_a as below
both opacity and width will move in step as it's cutting same column by same number of bins

solution excluding data sourcing

Source https://stackoverflow.com/questions/70565232

QUESTION

Change Color of an Entire Trace on Hover/Click in Plotly

Asked 2020-Sep-15 at 13:11

I have the current figure in plotly (jupyter notebook code below), and was hoping to create the effect whereby when you hover or click over each trace, the whole trace is highlighted a different colour (in this example red). I tried implementing these examples from SOF: Plotly in Python: how to highlight a trace on hover? & How do I highlight an entire trace upon hover in Plotly for Python? with no luck. If anyone could help that would be amazing. Currently each trace remains lightgrey.

...

ANSWER

Answered 2020-Sep-15 at 13:11

So this was a problem in 2 parts as it turns out:

The problem for me was that the widgets extension had not been enabled correctly (as I could check from executing jupyter nbextension list, the output was empty), which is why the fig would not render without .show() and why the on_click function did not work. You can fix this by first checking jupyter nbextension list, if it’s empty can you try in your conda env:

Source https://stackoverflow.com/questions/63885102

QUESTION

Dash: implementing a trace highlight callback

Asked 2020-Apr-03 at 17:13

I have a basic dash application with the following app.py file:

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ANSWER

Answered 2020-Apr-03 at 17:13

I think I managed to resolve half of the problem.

First, if you are using a method to generate your figure, you need to save it into a separate object:

Source https://stackoverflow.com/questions/60938972

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

Vulnerabilities

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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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