from pathlib import Path
import pandas as pd
from .InputData import InputData
[docs]
class CommonData(InputData):
# Recycling products index
Reprocessing_Index = [
"Al",
"Fe",
"OCC",
"Mixed_Paper",
"ONP",
"OFF",
"Fiber_Other",
"Brown_glass",
"Clear_glass",
"Green_glass",
"Mixed_Glass",
"PET",
"HDPE_P",
"HDPE_T",
"LDPE_Film",
]
# Collection products index
Collection_Index = [
"RWC",
"SSR",
"DSR",
"MSR",
"LV",
"SSYW",
"SSO",
"SSO_AnF",
"SSO_HC",
"ORG",
"DryRes",
"REC",
"WetRes",
"MRDO",
"SSYWDO",
"MSRDO",
]
# Waste products index
Waste_Pr_Index = [
"Bottom_Ash",
"Fly_Ash",
"Unreacted_Ash",
"Separated_Organics",
"Other_Residual",
"Separated_Recyclables",
"RDF",
]
# all waste_pr_index
All_Waste_Pr_Index = Waste_Pr_Index + Collection_Index + Reprocessing_Index
# Materials
Index = [
"Yard_Trimmings_Leaves",
"Yard_Trimmings_Grass",
"Yard_Trimmings_Branches",
"Food_Waste_Vegetable",
"Food_Waste_Non_Vegetable",
"Wood",
"Wood_Other",
"Textiles",
"Rubber_Leather",
"Newsprint",
"Corr_Cardboard",
"Office_Paper",
"Magazines",
"Third_Class_Mail",
"Folding_Containers",
"Paper_Bags",
"Mixed_Paper",
"Paper_Non_recyclable",
"HDPE_Translucent_Containers",
"HDPE_Pigmented_Containers",
"PET_Containers",
"Plastic_Other_1_Polypropylene",
"Plastic_Other_2",
"Mixed_Plastic",
"Plastic_Film",
"Plastic_Non_Recyclable",
"Ferrous_Cans",
"Ferrous_Metal_Other",
"Aluminum_Cans",
"Aluminum_Foil",
"Aluminum_Other",
"Ferrous_Non_recyclable",
"Al_Non_recyclable",
"Glass_Brown",
"Glass_Green",
"Glass_Clear",
"Mixed_Glass",
"Glass_Non_recyclable",
"Misc_Organic",
"Misc_Inorganic",
"E_waste",
"Bottom_Ash",
"Fly_Ash",
"Diapers_and_sanitary_products",
]
def __init__(self, input_data_path=None, process_name="CommonData"):
if input_data_path:
self.input_data_path = input_data_path
else:
self.input_data_path = Path(__file__).parent / "data/CommonData.csv"
# Initialize the superclass
super().__init__(self.input_data_path, process_name)
### Read Material properties
self.Material_Properties = (
pd.read_csv(
Path(__file__).parent / "data/Material properties.csv",
index_col=0,
header=0,
skiprows=[1, 2, 3],
)
.loc[self.Index]
.astype(float)
)
self.Material_Properties.fillna(0, inplace=True)
self.Material_Properties_Info = pd.read_csv(
Path(__file__).parent / "data/Material properties.csv", index_col=0, header=0, nrows=3
)