I have a long time series, eg.
import pandas as pd index=pd.date_range(start=\'2012-11-05\', end=\'2012-11-10\', freq=\'1S\').tz_localize(\'Europe/Berlin\')
Perhaps groupby?
DFList = [] for group in df.groupby(df.index.day): DFList.append(group[1])
Should give you a list of data frames where each data frame is one day of data.
Or in one line:
DFList = [group[1] for group in df.groupby(df.index.day)]
Gotta love python!