![]() The code above creates a simple 2-column (Animal and Rating) pandas data frame with 23 ratings for 5 animals (Pig, Goat, Sheep, Frog, Octopus). # create a simple dataframe of animal ratingsĭf = pd. You can then build your knowledge from there by playing around with this sample code and improving on it using the HoloViz documentation and other tutorials. I’m not going to spend much time explaining individual lines of code or underlining mechanisms, as my intention is to provide a very quick and simple end-to-end deployable example that can be copy-pasted to get you started, rather then getting bogged down and confused in abstract details that you may not be interested in yet. Using a small dummy data set of animal ratings data, the interactive dashboard will allow the user to choose an animal and view a box plot & data table for the ratings for that animal. TL DR: See the dashboard which includes a button to view all the code ![]() This is a short tutorial-by-example that walks you through a very basic dashboard, created in a Jupyter Notebook. Thanks to the Panel library from HoloViz (previously PyViz), it’s now relatively simple to create an interactive dashboard of plots in Python, similar to an R Shiny app. ![]()
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