6 сент. 2019 г. · I am having trouble calculating rolling retention. I was trying to figure out how to make groupby work, but it seems like it suits only for calculating classic ...

26 февр. 2015 г. · To measure it, you need to keep track of all the logs of your users. Rolling retention : if a user registered on day 0, did she log in on day N ...

2 янв. 2020 г. · I am looking to do a 'monthly' rolling window on daily data grouped by a category. The code below does not work as is, it leads to the following error.

15 июл. 2021 г. · I have to calculate how much users have logged in on some day of their life (30 days) or any other day later (rolling retention).

15 мар. 2021 г. · I am trying to calculate a "rolling retention" or "repeat retention" (Not sure what the appropriate name for this is), but a scenario where ...

6 июн. 2014 г. · Computing 7-day retention numbers in pandas · Ask Question ... Pandas count if number of occurrence greater than x in rolling 7 day interval.

19 сент. 2023 г. · At level 1 of both version, retetion = 100%, level 2 = (userplayed at level 2 / userplayed of level 1) *100 . level 3 = (userplay at level 3 / userplayed at ...

16 апр. 2018 г. · I need to create the 'Retention' from the Plan_Start_Date and then do a datetime range to match the total Lifetime of each customer, and then groupby the way ...

8 авг. 2018 г. · You can reverse the column by calling .iloc[::-1] before rolling: datas["c"] = datas["a"].iloc[::-1].rolling(2, min_periods=1).mean().

17 окт. 2019 г. · I want to run a rolling regression for a 250 day window for each column over the whole sample period and save the coefficient in another dataframe.