In the last session, we built a scoring model to pick up top stocks according to their profitability and we used the techniques like filtering and column wise calculation. On Day 4, we will learn last several essential pieces of DataFrame.
Merge tables
Compute group statistics
Create pivot tables
Save DataFrame as local file
To do so, we will continue improving our scoring model to make it sector neutral.

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Python for Financial Analysis Series
1.40 GEEK