This tutorial uses:
We will create a dataframe that contains multiple time series, one for each group.
Your output should look something like this:
Drop some rows randomly to create gaps in the data.
The pandas function diff applied to the date field will generate the time between subsequent datas. Comparing that to 1 day can identify date gaps in the data.
The same process can be applied to data with multiple time series, we just need to group on the time series identifier (group) before applying the