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Tuesday Tip #5: Visualize your pandas code ๐ผ
Hi Reader!
Todayโs tip is most useful if you already have some experience with pandas, which is the main data analysis library in Python.
If youโre brand new to pandas, I recommend starting here:
๐ Easier data analysis with pandas (my free video series)
Letโs move on to today's tip!
๐ Tip #5: Visualize your code with Pandas Tutor
In order to progress from pandas beginner to intermediate (and beyond), itโs important to build a mental model of what happens when you run your pandas code.
If youโre struggling to build that mental model, Pandas Tutor might be the perfect tool for you!
For example, if you input code like this:
dogs.groupby('size').mean()
Pandas Tutor outputs a diagram like this:
โInteract with the live diagramโ
Or if you input more complex code like this:
titanic.groupby(['Embarked', 'Sex'])['Pclass'].mean().unstack()
Pandas Tutor outputs a multi-step diagram like this:
โInteract with the live diagramโ
If you want to explore further, scroll to the bottom of Pandas Tutor and click on one of the many examples.
Once youโve understood an example, Iโd encourage you to change the code and/or the data, and see if the diagram changes in the way that you expect.
You can even paste in your own data! Just open up any CSV file, copy the top few rows (including the header), and paste them in place of the multi-line "csv" string:
Related Projects
โTidy Data Tutor is very similar, except itโs for R code and the Tidyverse.
โPython Tutor was created by the same author, and it allows you to visualize Python, JavaScript, C, C++, and Java code.
โnbtutor is a Jupyter Notebook extension for visualizing Python code within your notebook.
How helpful was todayโs tip?
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See you next Tuesday!
- Kevin
P.S. Whoa, you trained a neural net!
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Kevin Markham
Join 25,000+ aspiring Data Scientists and receive Python & Data Science tips every Tuesday!
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