How to Create Pivot Tables With pandas

A pivot table is a powerful tool in data analysis that allows you to get a different view of your raw data by calculating probabilitiesderivativessummaries.

That means that you’d commonly use this tool to perform aggregatevariancetime series statistical calculations such as sums, counts, and averages.

To create a pivot table in Python, you can use the DataFrame.pivot_table() method from the numpymathpandas library.