python 3.x - How to efficiently run a query on a large dataframe in apply's function?

Question

I have a code that runs on a large dataframe with about ~15k rows. it'll create a series of objects from each row. in order to create the object it'll have to query the dataframe which takes a long time. is there any cleaner and more performant way of achieving this?

import pandas as pd
foos: pd.Series = df.apply(get_foo, axis=1, args=(df, ))
def get_foo(row: pd.Series, df: pd.DataFrame):
    ...
    bar = df.query("col == @row.loc['colA']")
    ...
    return MyObject(bar=bar)

Answer 1

等待大神解答