I have a dataframe and I would like to groupby by bq_market_id and then check if there is any NaN values in bq_back_price in each group if yes then True per group if no then False per group.
bq_selection_id bq_balance bq_market_id bq_back_price0 45094462 185.04 7278437 1.971 45094462 185.04 7278437 1.972 45094463 185.04 7278437 3.053 45094463 185.04 7278437 3.054 45094464 185.04 7278437 5.805 45094464 185.04 7278437 5.806 45094466 185.04 7278437 200.007 45094466 185.04 7278437 200.008 45094465 185.04 7278437 NaN9 45094465 185.04 7278437 NaNHow do i do this? I tried the following, but it did not work.
bb.groupby('bq_market_id')['bq_back_price'].isnull().any()