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I have a snippet of code that extracts year, month, week from a date. Year and month works but year-month and week both returns error like the one below:

AttributeError: 'datetime.datetime' object has no attribute 'week'
I imported the library like this:
import datetime
and called on the dt column using col.dt.year, col.dt.month, col.dt.to_period('M'),col.dt.week.
The first 2 works and last 2 doesn't. After searching similar questions I still couldn't get it run. I'm on pandas '0.23.4'. Thanks for any help.
                You need to provide code. Without it, we can only say you are referencing col.dt as datetime.datetime as the error says.
– Ricky Kim
                Jan 10, 2019 at 4:05
                I realized the issue is that it's a vDDDtype rather than date time, which comes with some known issues in extracting time intervals and the code requires reading ical. I tried to combine the ymd into a proper dt object df['dt']=pd.to_datetime(dict(year=df['Year'], month=df['Month'], day=df['Day'])) and then run df['dt'].dt.week() but it's now returning TypeError: 'Series' object is not callable
– santoku
                Jan 10, 2019 at 4:30
                I think you're right; if pandas.Series.dt simply defers to datetime.datetime under the hood, then isocalendar() would still work; otherwise I guess an explicit to_pydatetime() call would be required...
– dtanabe
                Jan 10, 2019 at 4:12
        
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