capone | Provides double-entry bookkeeping | REST library

I have a data frame:

df = pd.DataFrame({'player':['John Adams', 'Mark Capone', 'Cecil Milton', 'Hector James', 'Hector James', 'Luke Valentine', 'Luke Valentine'], 'action':['Starts at PG', 'Dribbles', 'Passes', 'receives pass', 'Travels', 'Subs in at PG', 'Passes']})

The first column is the player. The second column is the action the player takes.

I want to create a third column that tracks who is in at PG. I add the column:

df['PG'] = " "

I then write the following to populate the PG column with the name of the player:

df.loc[(df.action == 'Starts at PG'), 'PG'] = df['player']

df.loc[(df.action == 'Subs in at PG'), 'PG'] = df['player']

The issue I cannot figure out is how to forward fill the PG column until it is changed at row 5, and then fill with the new value from 5 to the end. I've used ffill on numeric columns before, but this is different because it is a string I'm working with. Any help is greatly appreciated.

To be clear, I'm trying to get "John Adams" in the PG column for rows 0 through 4 and "Luke Valentine" for rows 5 and 6.

This sequence:

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The result can be seen here. The html is long, but I can post it here if required.

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Here is my code: