statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.construct_endog¶
- classmethod DynamicFactorMQ.construct_endog(endog_monthly, endog_quarterly)[source]¶
Construct a combined dataset from separate monthly and quarterly data.
- Parameters:
- endog_monthlyarray_like
Monthly dataset. If a quarterly dataset is given, then this must be a Pandas object with a PeriodIndex or DatetimeIndex at a monthly frequency.
- endog_quarterlyarray_like or
None Quarterly dataset. If not None, then this must be a Pandas object with a PeriodIndex or DatetimeIndex at a quarterly frequency.
- Returns:
- endogarray_like
If both endog_monthly and endog_quarterly were given, this is a Pandas DataFrame with a PeriodIndex at the monthly frequency, with all of the columns from endog_monthly ordered first and the columns from endog_quarterly ordered afterwards. Otherwise it is simply the input endog_monthly dataset.
- k_endog_monthly
int The number of monthly variables (which are ordered first) in the returned endog dataset.