mario.CoreModel.pa_ex#
\[pa_{\mathrm{ex}} = \operatorname{diag}(va 1) w_{aa}\]
- CoreModel.pa_ex(*, scenario: str = 'baseline')#
Return activity-side exploded price-index contributions for SUT.
This is the aggregated analogue of
ma_ex(): it sums factor rows first and returns activity and commodity contributors stacked on the rows.- Parameters:
scenario – Scenario used to read source matrices.
- Returns:
DataFrame whose rows describe the contributing activity or commodity and whose column sums equal
pa.- Return type:
pandas.DataFrame
Notes
For IOT models use
p_ex(). For the commodity side usepc_ex().