Let's say we have PfLine with hourly values and a SOD of 06:00.
index =pd.date_range("2022 06:00","2023-01-01 06:00", freq ="H")
pfl = dev.get_flatpfline(index)
If I slice, either
pfl.slice['2022-01-01':]
or
pfl.slice[:'2022-01-01']
, I want the result to still have a SOD of 06:00.
After standardize function is updated, the indices will be bottleneck and must be created with cautious.
Let's say we have PfLine with hourly values and a SOD of 06:00. index =pd.date_range("2022 06:00","2023-01-01 06:00", freq ="H") pfl = dev.get_flatpfline(index) If I slice, either pfl.slice['2022-01-01':] or pfl.slice[:'2022-01-01'] , I want the result to still have a SOD of 06:00.
After standardize function is updated, the indices will be bottleneck and must be created with cautious.