You can use pandas' groupby and sum methods to add the rows where the second-level column is named 'max'. Here's how:

First, use groupby to group by the first-level column ('Type 1').

Then, use sum to add the values in the 'max' column for each group.

Here's an example code:

df.groupby('Type 1')['max'].sum()
HP, Attack, Defense: Analyzing Pok←mon Stats with Pandas

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