dataset

pystoned.dataset.load_Finnish_electricity_firm(x_select=['Energy', 'Length', 'Customers'], y_select=['OPEX', 'CAPEX', 'TOTEX'], z_select=['PerUndGr'])[source]

Loading Finnish electricity firm data

Parameters:

  • x_select (list, optional) – input variables. Defaults to [‘Energy’, ‘Length’, ‘Customers’].

  • y_select (list, optional) – output variable. Defaults to [‘OPEX’, ‘CAPEX’, ‘TOTEX’].

  • z_select (list, optional) – contextual variable. Defaults to [‘PerUndGr’].

Returns:

selected input-output

Return type:

Numbers

pystoned.dataset.load_GHG_abatement_cost(year=None, x_select=['HRSN', 'CPNK'], y_select=['VALK'], b_select=['GHG'])[source]

Loading OECD GHG emissions data

Parameters:

  • year (Numbers, optional) – years. Defaults to None.

  • x_select (list, optional) – input variables. Defaults to [‘HRSN’, ‘CPNK’].

  • y_select (list, optional) – output variable. Defaults to [‘VALK’].

  • b_select (list, optional) – bad output variable. Defaults to [‘GHG’].

Returns:

selected input-output

Return type:

Numbers

pystoned.dataset.load_Philipines_rice_production(year=None, x_select=['AREA', 'LABOR', 'NPK', 'OTHER', 'AREAP', 'LABORP', 'NPKP', 'OTHERP'], y_select=['PROD', 'PRICE'])[source]

Loading Philipines rice data

Parameters:

  • year (Numbers, optional) – years. Defaults to None.

  • x_select (list, optional) – input variables. Defaults to [‘AREA’, ‘LABOR’, ‘NPK’, ‘OTHER’, ‘AREAP’, ‘LABORP’, ‘NPKP’, ‘OTHERP’].

  • y_select (list, optional) – output variable. Defaults to [‘PROD’, ‘PRICE’].

Returns:

selected input-output

Return type:

Numbers

pystoned.dataset.load_Tim_Coelli_frontier(x_select=['capital', 'labour'], y_select=['output'])[source]

Loading Tim Coelli 4.1 data

Parameters:

  • x_select (list, optional) – input variables. Defaults to [‘capital’, ‘labour’].

  • y_select (list, optional) – output variable. Defaults to [‘output’].

Returns:

selected input-output

Return type:

Numbers

class pystoned.dataset.production_data(dmu, x, y, b=None, z=None)[source]

Example datasets provided by the pyStoNED

__init__(dmu, x, y, b=None, z=None)[source]

General data structure

Parameters:

  • dmu (String) – decision making unit.

  • x (Numbers) – input variables.

  • y (Numbers) – output variables.

  • b (Numbers, optional) – bad output variables. Defaults to None.

  • z (Numbers, optional) – contextual variables. Defaults to None.