I am trying to create a list of year-quarters in python; per the documentation (https://pandas.pydata.org/docs/reference/api/pandas.Period.strftime.html), %q (I believe) should output an integer representation of calendar quarter, but instead the output I get is just %q literally.
Input:
pd.date_range('2021-01-01','2022-01-01',freq='Q').strftime('%Y-%q').tolist()
Expected Output:
['2021-01', '2021-02', '2021-03', '2021-04']
Actual Output:
['2021-%q', '2021-%q', '2021-%q', '2021-%q']
The %q formatter is specific to Period.strftime, so it must be used with Period data:
The method recognizes the same directives as the
time.strftimefunction of the standard Python distribution, as well as the specific additional directives%f,%F,%q.
Either create a period_range directly (but note that it includes the end date, unlike date_range):
periods = pd.period_range('2021-01-01', '2022-01-01', freq='Q')
# PeriodIndex(['2021Q1', '2021Q2', '2021Q3', '2021Q4', '2022Q1'], dtype='period[Q-DEC]')
periods.strftime('%Y-0%q').tolist()
# ['2021-01', '2021-02', '2021-03', '2021-04', '2022-01']
Or convert an existing DatetimeIndex to a PeriodIndex:
dates = pd.date_range('2021-01-01', '2022-01-01', freq='Q')
# DatetimeIndex(['2021-03-31', '2021-06-30', '2021-09-30', '2021-12-31'], dtype='datetime64[ns]', freq='Q-DEC')
pd.PeriodIndex(dates).strftime('%Y-0%q').tolist()
# ['2021-01', '2021-02', '2021-03', '2021-04']