Pandas drop function not working in a for loop?

Question

all! I am pretty confused by this and for the life of me cannot figure out the error. I am trying to go through all the strings in a data frame and remove the ones that do n

Answer 1

This should work

for i in range(len(bb_db)):
    if 'Barry Bonds' in bb_db['player_names'][i]:
        bb_db = bb_db.drop(bb_db.index[i])
        # or this works too..
        # bb_db.drop(bb_db.index[i], inplace=True)
        print (i)

Answer 2

drop doesn't mutate your current DataFrame unless you ask it to, with inplace=True.

With that being said, a for loop is almost certainly not the easiest approach here. Why not just boolean indexing with the str accessor on your column, i.e. with str.contains

bb_db[~bb_db.player_names.str.contains('Barry Bonds')]