如何基于 pandas df 中的 select 特定行并删除所有其他行

Question

I have a dataframe made by merging two dataframes like this, to find the nearest df_diatom age to df_counting age.

merged=pd.merge_asof(diatoms, counting, left_on='Age_ka',right_on='age_med_Ka',direction='nearest')

It creates a dataframe like this:

I would like to write code to go through the ages, and delete any rows where |Age_ka - age_med_Ka|≤ 0.5. Can anyone advise?

Answer 1

merged3=merged.loc[abs(merged['Age_ka']-merged['age_med_Ka']) <= 0.5]