Dataframe group with sort
Question:
My script is currently combining multiple rows into one by using group by… however I’d also like to make sure that within each ‘src’ its sorted in ascending order by a field called ‘numb’.
df = df.astype(str).groupby('src')['source_soe_dur'].agg('|'.join).to_frame('durMerge').reset_index()
I think I probably need to do something like: https://www.statology.org/pandas-groupby-sort/ but not sure how to adapt it to my use-case.
Answers:
Sorting the entire dataframe before grouping is the same as sorting within each of the groups, so we can do the following:
df = df.astype(str).sort_values("numb", ascending=True).groupby('src')['source_soe_dur'].agg('|'.join).to_frame('durMerge').reset_index()
My script is currently combining multiple rows into one by using group by… however I’d also like to make sure that within each ‘src’ its sorted in ascending order by a field called ‘numb’.
df = df.astype(str).groupby('src')['source_soe_dur'].agg('|'.join).to_frame('durMerge').reset_index()
I think I probably need to do something like: https://www.statology.org/pandas-groupby-sort/ but not sure how to adapt it to my use-case.
Sorting the entire dataframe before grouping is the same as sorting within each of the groups, so we can do the following:
df = df.astype(str).sort_values("numb", ascending=True).groupby('src')['source_soe_dur'].agg('|'.join).to_frame('durMerge').reset_index()