One of the nice things about Jupyter notebooks is that once you’ve got some script in place to generate a particular sort of graphic, you can very easily turn it into a parameterised, widgetised app that lets you generate chart views at will.
For example, here’s an interactive take on a WRC chartable(?!) I’ve been playing with today. Given a function that generates a table for a given stage, rebased against a specified driver, it takes only a few lines of code and some very straightforward widget definitions to create an interactive custom chart generating application around it:
In this case, I am dynamically populating the drivers list based on which class is selected. (Unfortunately, it only seems to work for RC1 and RC4 at the moment. But I can select drivers and stages within that class…)
It also struck me that we can add further controls to select which columns are displayed in the output chart:
What this means is that we can easily create simple applications capable of producing a wide variety of customised chart outputs. Such a tool might be useful for a sports journalist wanting to use different sorts of table to illustrate different sorts of sport report.
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