django-plotly-dash | Expose plotly dash apps as django tags | Data Visualization library

 by   GibbsConsulting Python Version: 2.3.1 License: MIT

kandi X-RAY | django-plotly-dash Summary

kandi X-RAY | django-plotly-dash Summary

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

Expose plotly dash apps as django tags
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            kandi-support Support

              django-plotly-dash has a low active ecosystem.
              It has 471 star(s) with 111 fork(s). There are 19 watchers for this library.
              There were 2 major release(s) in the last 12 months.
              There are 67 open issues and 228 have been closed. On average issues are closed in 141 days. There are 4 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of django-plotly-dash is 2.3.1

            kandi-Quality Quality

              django-plotly-dash has 0 bugs and 0 code smells.

            kandi-Security Security

              django-plotly-dash has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              django-plotly-dash code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              django-plotly-dash is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              django-plotly-dash releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              django-plotly-dash saves you 1236 person hours of effort in developing the same functionality from scratch.
              It has 3303 lines of code, 239 functions and 60 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed django-plotly-dash and discovered the below as its top functions. This is intended to give you an instant insight into django-plotly-dash implemented functionality, and help decide if they suit your requirements.
            • Add example examples
            • Overrides save method
            • Insert demo migration
            • Override save method
            • Handle incoming messages from the pipe
            • Update a pipe channel
            • Handle incoming messages
            • Send data to a pipe
            • Create a callback for liveIn button press
            • Send message to given channel
            • Returns the URL for the asset
            • Return the identifier for a plotly app
            • Check if stateless app is registered
            • Main view function
            • Shortcut to build components
            • Process a dash view function
            • Redirect to a static URL
            • Returns the dependencies of the dash app
            • Plot a plotly class
            • Renders assets
            • Callback for a liveOut pipe
            • Plots a plotly app
            • Directly plot a dashboard
            • Create a time series from internal state data
            • Bootstrap plotly
            • Return a layout
            Get all kandi verified functions for this library.

            django-plotly-dash Key Features

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

            django-plotly-dash Examples and Code Snippets

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

            Community Discussions

            QUESTION

            Dash datatable wont render on page in django-plotly-dash
            Asked 2021-Dec-03 at 02:26

            I am creating a web application using django_plotly_dash, a module combining Django, Plotly, and Dash into one package. I am having an issue where I can trying to load some dash datatables that are part of the dash app, but they never end up rendering on the page. The page is stuck on "Loading..." like so:

            As you can see, the middle of the page (starting from Home Page) is where the dash datatables are supposed to load, but the screen is stuck on "Loading..."

            from the log output after starting the app, it seems it has something to do with Django not locating the right static files. Here is the output below:

            ...

            ANSWER

            Answered 2021-Dec-03 at 02:26

            Solved this issue by changing the "serve locally" key in settings.py's PLOTLY_DASH variable to False. Leaving this question and answer up for anyone who might have the same issue in the future. Please cross check your settings.py with that from the configuration page of django-plotly-dash.

            Source https://stackoverflow.com/questions/70163780

            QUESTION

            ModuleNotFoundError: No module named 'django_plotly_dash'
            Asked 2021-Nov-09 at 21:10

            I am creating a web application using django_plotly_dash, a module combining Django, Plotly, and Dash into one package. I am running into an issue where when I try to work with the manage.py file to run commands, I get the error ModuleNotFoundError: No module named 'django_plotly_dash'

            From research and the traceback, it seems to problem lies either in my settings.py file specifically with static files/bootstrapping or in my directory structure. Does anybody with more experience with this see any issues in my structures or settings.py that are causing this error

            Here is the Traceback message:

            ...

            ANSWER

            Answered 2021-Nov-09 at 21:10

            After tinkering, it seems like @yagus was right. I created a new virtualenv and redid the pip installations and now it works. I must have set it up wrong the first time. Thanks for the help @yagus

            Source https://stackoverflow.com/questions/69903416

            QUESTION

            datetime.date.today() in Django (Dash app)
            Asked 2020-Nov-01 at 12:48

            I have a Plotly Dash app running in Django using the django-plotly-dash package. (https://django-plotly-dash.readthedocs.io/en/latest/)

            The app is live here: https://www.sunfire.xyz/data/tca

            There is a date picker on the dashboard, and the code for the element is this:

            ...

            ANSWER

            Answered 2020-Nov-01 at 12:48

            The problem you're having is that the code creating this Plotly Dash component is only being executed once, when the module is loaded (i.e. "the day that the django application was started"). You don't show where this instantiation is happening so there's not enough information to identify the precise cause. Perhaps you've factored out this component definition into a module-level variable for reuse? In any case, the solution is to make sure that the datepicker code gets called on every request.

            Also, use Django's localdate() function, not date.today(). The latter does not take Django's settings (like TIME_ZONE) into account.

            Source https://stackoverflow.com/questions/64631399

            QUESTION

            Import django model class into Plotly-Dash stateless app
            Asked 2020-Jun-30 at 15:58

            I'm trying to build a dashboard app using django-plotly-dash. I was able to get the app up and running when pulling the data from a .CSV file but this is slow. To speed things up I imported the data into my backend Postgresql server and created a model in the pages app in my Django project. The problem comes when I attempt to import a specific table from my model into my stateless DjangDash app in a different folder. The error I keep getting is "unable to import pages.models"

            Folder Structure:

            ...

            ANSWER

            Answered 2020-Jun-15 at 13:25

            Both Dash and Django provide application frameworks. If you want to use one inside the other, then you have to choose which one to embed.

            Are you trying to use Dash inside of Django? If so then the django-plotly-dash package lets you use Dash apps through Django templates.

            On the other hand, if you're trying to use pieces of Django inside a Dash application - which is what it sounds like from your code snippets - then you're probably going to find that quite difficult, if not impossible.

            Source https://stackoverflow.com/questions/62334616

            QUESTION

            Failed Google App Engine deployment. No matching distribution found for pywin32==xxx
            Asked 2020-Apr-04 at 12:57

            I have run gcloud app deploy for my Django application, but it fails with the following errors at the end of the build log:

            ...

            ANSWER

            Answered 2020-Apr-04 at 12:57

            The pywin32 package only publishes built distributions for the Windows platform (note all the win* filenames here).

            You won't be able to install it on App Engine because the underlying platform is Linux, not Windows.

            Source https://stackoverflow.com/questions/61022116

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

            Vulnerabilities

            No vulnerabilities reported

            Install django-plotly-dash

            First, install the package. This will also install plotly and some dash packages if they are not already present. Then, add django_plotly_dash to INSTALLED_APPS in your Django settings.py file.

            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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            Install
          • PyPI

            pip install django-plotly-dash

          • CLONE
          • HTTPS

            https://github.com/GibbsConsulting/django-plotly-dash.git

          • CLI

            gh repo clone GibbsConsulting/django-plotly-dash

          • sshUrl

            git@github.com:GibbsConsulting/django-plotly-dash.git

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