10 дек. 2014 г. · In general: df.groupby(...) returns a GroupBy object (a DataFrameGroupBy or SeriesGroupBy), and with this, you can iterate through the groups.

4 мар. 2015 г. · There is much easier way of doing it: g = x.groupby('Color') g.groups.keys(). By doing groupby() pandas returns you a dict of grouped DFs.

20 февр. 2022 г. · Pandas groupby with each group treated as a unique group but instead of having the cumsum of df['dir'], the cumsum of another column should be gotten with the ...

30 авг. 2022 г. · I'm trying to use groupby in pandas to group by a variable column and count the number of times a value shows up in the each group.

17 янв. 2019 г. · I perform a groupby: df.groupby(['b']).agg(['count', 'median']) I would like to iterate through the rows that this call returns.

26 июл. 2020 г. · Let's try groupby.apply here. We'll append a row to each group at the start, like this: def augment_group(group): first_row ...

8 янв. 2015 г. · I would now like to sort the 'count' column in descending order within each of the groups, and then take only the top three rows.

29 окт. 2019 г. · I'm attempting to groupby several columns in a DataFrame and only keep the rows where a specific column changed values.

15 июл. 2020 г. · I have a panel dataframe (ID and time) and want to collect the recent (latest) rows for each ID. Here is the table.

19 нояб. 2013 г. · To get the first N rows of each group, another way is via groupby().nth[:N]. The outcome of this call is the same as groupby().head(N).