What are all Pandas .agg functions? Asked 6 years, 10 months ago Modified 10 months ago Viewed 54k times

group = df.groupby('date') agg = group.aggregate({'duration': np.sum}) agg['uv'] = df.groupby('date').user_id.nunique() agg duration uv date 2013-04-01 65 2 2013-04-02 45 1 …

382 For pandas >= 0.25 The functionality to name returned aggregate columns has been reintroduced in the master branch and is targeted for pandas 0.25. The new syntax is …

Jun 8, 2012 · df_ret[dcol] = grouped.agg({dcol:min}) return df_ret The function df_wavg() returns a dataframe that's grouped by the "groupby" column, and that returns the sum of the weights for …

How to sort the aggregate values from STRING_AGG () IN PostgreSQL Asked 11 years, 4 months ago Modified 2 months ago Viewed 259k times

I've had success using the groupby function to sum or average a given variable by groups, but is there a way to aggregate into a list of values, rather than to get a single result? (And would this ...

As @unutbu mentioned, the issue is not with the number of lambda functions but rather with the keys in the dict passed to agg() not being in data as columns. OP seems to have tried using …

sales state office_id AZ 2 839507 4 373917 6 347225 CA 1 798585 3 890850 5 454423 CO 1 819975 3 202969 5 614011 WA 2 163942 4 369858 6 959285 I can't seem to figure out how …

Is there any other manner for expressing the input to agg()? Perhaps a list of tuples [(column, function)] would work better, to allow multiple functions applied to the same column?

Mar 5, 2013 · The useful thing about Series.mode is that it always returns a Series, making it very compatible with agg and apply, especially when reconstructing the groupby output.