![]() One of the challenges with using the panda’s pivot_table is making sure you understand your data and what questions you are trying to answer with the pivot table. You can find it at the end of this post and I hope it serves as a useful reference. ![]() Needless to say, I’ll be talking about a pivot table not PivotTable!Īs an added bonus, I’ve created a simple cheat sheet that summarizes the pivot_table. If you are not familiar with the concept, wikipedia explains it in high level terms. BTW, did you know that Microsoft trademarked PivotTable? Neither did I. This article will focus on explaining the pandas pivot_table function and how to use it for your data analysis. ![]() While it is exceedingly useful, I frequently find myself struggling to remember how to use the syntax to format the output for my needs. Pandas provides a similar function called (appropriately enough) pivot_table . Most people likely have experience with pivot tables in Excel.
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