dash-docs | ISSUE TRACKER ONLY for The Official Dash Userguide | Data Visualization library

by plotly Python Version: Current License: MIT

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

kandi X-RAY | dash-docs Summary

dash-docs is a Python library typically used in Analytics, Data Visualization applications. dash-docs has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

:book: ISSUE TRACKER ONLY for The Official Dash Userguide & Documentation

Support

Quality

Security

License

Reuse

Support

dash-docs has a low active ecosystem.

It has 362 star(s) with 156 fork(s). There are 56 watchers for this library.

It had no major release in the last 6 months.

There are 177 open issues and 179 have been closed. On average issues are closed in 236 days. There are 16 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of dash-docs is current.

Quality

dash-docs has no bugs reported.

Security

dash-docs has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

dash-docs 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

dash-docs 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.

Top functions reviewed by kandi - BETA

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

Return the documentation for a component
Format docstrings from old style docstring
Return a Markdown instance
Replace relative links
Interpolate the page index
Convert a component to HTML
Converts a style dictionary to a string
Load examples
Load an example file
Load an example
Return path relative to the given path
Updates the table with the given filter
Returns the table type of a DataFrame
Create a display function
Generate an html graph
Get the names of react components
Generate a sitemap xml file
Create URLs without content
Create docstrings for documentation
Update the live graph
Returns the relative path to the given path
Return a list of components
Render a component block
Generate a dictionary of clade elements
Return an HTML table
Display the content of a page
Create a documentation page
Generate documentation for library documentation

Get all kandi verified functions for this library.

dash-docs Key Features

No Key Features are available at this moment for dash-docs.

dash-docs Examples and Code Snippets

No Code Snippets are available at this moment for dash-docs.

Community Discussions

Trending Discussions on dash-docs

Update dash table by selecting points on scatter plot

QUESTION

Update dash table by selecting points on scatter plot

Asked 2020-Jul-19 at 10:03

I am working on a dash dashboard. Here is my code:

...

ANSWER

Answered 2020-Jun-30 at 20:52

I managed to solve the problem by taking selectedData as input from main_graph and processing main_table's style_data_conditional as output through the function update_table_style.
Here I color with a dark gray the odd rows, to improve the visibility of the table, then I set the background color of the selected rows through a style conditional. Finally I change the background of the first column based on the color of each row (color reported on the first column for each row).

Code:

Source https://stackoverflow.com/questions/62516573

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

Vulnerabilities

No vulnerabilities reported

Install dash-docs

You can download it from GitHub.
You can use dash-docs 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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