Unveiling common mistakes occur using the Pivot function

There are a few frequent mistakes individuals make while using Pandas’ pivot function. Here are several illustrations with executable code.

1. Not specifying all required parameters:

You must specify the index, columns, and values when using the pivot function. An error will occur if any of these parameters are left out.

2. Using non-unique values for index/columns combination:

The index and column combination used for pivoting should result in unique values. Using non-unique combinations will lead to errors.

3. Not handling missing values properly:

The pivot function doesn't handle missing values automatically. If there are missing values in the dataset, they need to be handled explicitly.