The error I’m getting seems to imply that the datetime module loaded in the DQ interface doesn’t have strptime - is that correct?
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My Code:
import datetime as dt
def subs_in_month(ym):
count = 0
ym = str(ym)
print(type(ym))
ym = dt.strptime(ym,"%Y%m")
start = ym.replace(day=1)
end = start - dt.timedelta(days=1)
if row['start_date'] < start and row['end_date'] > end:
count += 1
return count
churn['total_customers'] = churn['yearmonth'].apply(subs_in_month)
What I expected to happen: I’m expecting the new column ‘total_customers’ to populate with a count of customers that satisfy the conditions in row 10. I’m working iteratively so the function isn’t finished - the references to “row” and the return output are works in progress.
What actually happened:
AttributeErrorTraceback (most recent call last)
<ipython-input-1-10ae59a8b63d> in <module>()
12 return count
13
---> 14 churn['total_customers'] = churn['yearmonth'].apply(subs_in_month)
15
16
/dataquest/system/env/python3/lib/python3.4/site-packages/pandas/core/series.py in apply(self, func, convert_dtype, args, **kwds)
2549 else:
2550 values = self.asobject
-> 2551 mapped = lib.map_infer(values, f, convert=convert_dtype)
2552
2553 if len(mapped) and isinstance(mapped[0], Series):
pandas/_libs/src/inference.pyx in pandas._libs.lib.map_infer()
<ipython-input-1-10ae59a8b63d> in subs_in_month(ym)
5 ym = str(ym)
6 print(type(ym))
----> 7 ym = dt.strptime(ym,"%Y%m")
8 start = ym.replace(day=1)
9 end = start - dt.timedelta(days=1)
AttributeError: 'module' object has no attribute 'strptime'