from datetime import date
d0 = date.today() - timedelta(days=14)
dates = pd.date_range(d0, date.today())
date_index = pd.MultiIndex.from_product([dates, dates], names=['cohort_date', 'event_date'])
df = pd.DataFrame(np.random.randint(0, 100, 225), index=date_index)
Works
df.reset_index().groupby([pd.Grouper(key='cohort_date',freq='W'),pd.Grouper(key='event_date',freq='W')]).sum()
This should be equivalent, but raises
df.groupby([pd.Grouper(level='cohort_date',freq='W'),pd.Grouper(level='event_date',freq='W')]).sum()
You can’t perform that action at this time.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4