Posted by Chris Moffitt in articles   

The previous pivot table article described how to use the pandas pivot_table function to combine and present data in an easy to view manner. This concept is probably familiar to anyone that has used pivot tables in Excel. However, pandas has the capability to easily take a cross section of the data and manipulate it. This cross section capability makes a pandas pivot table really useful for generating custom reports. This article will give a short example of how to manipulate the data in a pivot table to create a custom Excel report with a subset of pivot table data.

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