swolfpy_processmodels

Process Model

class swolfpy_processmodels.ProcessModel(process_name, CommonDataObjct)

abstract property Process_Type

abstract calc()

abstract setup_MC(seed=None)

abstract MC_calc()

_abc_impl = <_abc._abc_data object>

abstract report()

Distance

class swolfpy_processmodels.Distance(data=None)

Python class for importing the distances between the process models.

Transport modes include:

• Heavy Duty Truck

• Medium Duty Truck

• Rail

• Barge

• Cargo Ship

Parameters:

data – Dictionary that includes Pandas DataFrame for the distances between the process models as value and transport modes as key. DataFrame should use the name of processes as both column and row index.

Example:

>>> from swolfpy_processmodels import Distance
>>> data = Distance.create_distance_table(['LF','WTE','AD'], ['Heavy Duty Truck'], default_dist=20)
>>> data
{'Heavy Duty Truck':      LF   WTE    AD
                     LF  NaN  20.0  20.0
                     WTE NaN   NaN  20.0
                     AD  NaN   NaN   NaN}
>>> distance = Distance(data)
>>> distance.Distance[('LF','WTE')]
{'Heavy Duty Truck': 20.0}
>>> distance.Distance[('LF','WTE')]['Heavy Duty Truck']
20.0

static create_distance_table(process_names, transport_modes, default_dist=nan)

Static method for creating the data structure for distances and transport modes.

Parameters:

• process_names – List of process names (e.g., ['LF', 'WTE'])

• transport_modes – List of transport modes (i.e., Heavy Duty Truck, Medium Duty Truck, Rail, Barge, Cargo Ship). Example: ['Heavy Duty Truck', 'Medium Duty Truck']

• default_dist – Default distance that is used to fill the DataFrame.