When trying to download data for 29 October 2023, I noticed it is only fetching 48 settlement periods, rather than the 50 that are quoted in the BMRS:
It looks like updating this line in dt_rng_to_SPs to their only use UK+DST would correct the issue, but I'm not entirely clear if there are any other requests within the package that use the tz input parameter more flexibly.
dt_rng = pd.date_range(extended_start_date, extended_end_date, freq=freq, tz='**Europe/London**')
When trying to download data for 29 October 2023, I noticed it is only fetching 48 settlement periods, rather than the 50 that are quoted in the BMRS:
It looks like updating this line in dt_rng_to_SPs to their only use UK+DST would correct the issue, but I'm not entirely clear if there are any other requests within the package that use the tz input parameter more flexibly.
dt_rng = pd.date_range(extended_start_date, extended_end_date, freq=freq, tz='**Europe/London**')Any thoughts on cleanest way to update this?