entrypoint

Raw python file execution

Navigate to folder of app.py and run

python index.py

The app is then available on http://localhost:8050/

Docker approach

Run from repo root

docker-compose up -d --build

The app is then available on http://localhost:8051/

reference

Following this tutorial

https://www.datacamp.com/community/tutorials/learn-build-dash-python

and freestyling for additional functionality using the official Dash documentation, e.g. this

https://dash.plot.ly/live-updates

tutorial for CSS styling

https://www.youtube.com/watch?v=f2qUWgq7fb8

and using the following to add local CSS instead of from web (will be appended after vanilla dash css)

For multi-page stuff

https://dash.plot.ly/urls

History of development (local development)

in multipage_v5

putting in Docker container

Continue from this point in new project dash-multipage-app/ which is linked to github

in multipage_v4

adding interactive annotation by clicking graph

in multipage_v3

adding "navbar" (not full thing, just a simple link-based approximation), ability to read parameter values from url

in multipage_v2

converted /v4 to multipage app

included background image, transparent figure backgrounds, 404 page

in multipage_v1

Trying simple multipage stuff (two pages)

Old below

in v1

In v1 is a basic static dashboard showing two bar graphs on the same axes.

Also added a markdown example (handles a lot of text), presented a few paragraphs below simplest example in reference

in v2

adding scatter plot, automatic loading of the latest data to the app (not just at the time of app launch), and automatic updating of text to reflect time. Also adding interactive text box

Added a CSS style sheet

in v3

adding automatic interactivity between a dropdown and the app figure

in v4

adding proper styling via bootstrap css