What are all Pandas .agg functions? Asked 6 years, 10 months ago Modified 10 months ago Viewed 53k times

Let's say I have a log of user activity and I want to generate a report of the total duration and the number of unique users per day. import numpy as np import pandas as pd df = …

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 …

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 …

0 One-line solution: df.join( df.groupby('state').agg(state_total=('sales', 'sum')), on='state' ).eval('sales / state_total') This returns a Series of per-office ratios -- can be used on it's own …

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 ...

May 29, 2018 · Another possibility to get unique strings from STRING_AGG would be to perform these three steps after fetching the comma separated string: Split the string (STRING_SPLIT)

Mar 10, 2013 · agg is the same as aggregate. It's callable is passed the columns (Series objects) of the DataFrame, one at a time.

I am grouping by item-date pairs in a PD dataframe and would like to add some custom conditional functions using lambda to a larger aggregation function. Using the tip here, I can …

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.