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update_commodities.py
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import seaborn as sns
from datetime import datetime
from sklearn.preprocessing import MinMaxScaler
from sklearn.tree import DecisionTreeRegressor
import random
from commodity import Commodity
commodity_list = []
annual_rainfall = [29, 21, 37.5, 30.7, 52.6, 150, 299, 251.7, 179.2, 70.5, 39.8, 10.9]
base = {
"Paddy": 1245.5,
"Arhar": 3200,
"Bajra": 1175,
"Barley": 980,
"Copra": 5100,
"Cotton": 3600,
"Sesamum": 4200,
"Gram": 2800,
"Groundnut": 3700,
"Jowar": 1520,
"Maize": 1175,
"Masoor": 2800,
"Moong": 3500,
"Niger": 3500,
"Ragi": 1500,
"Rape": 2500,
"Jute": 1675,
"Safflower": 2500,
"Soyabean": 2200,
"Sugarcane": 2250,
"Sunflower": 3700,
"Urad": 4300,
"Wheat": 1350
}
commodity_dict = {
"arhar": "crop_data/Arhar.csv",
"bajra": "crop_data/Bajra.csv",
"barley": "crop_data/Barley.csv",
"copra": "crop_data/Copra.csv",
"cotton": "crop_data/Cotton.csv",
"sesamum": "crop_data/Sesamum.csv",
"gram": "crop_data/Gram.csv",
"groundnut": "crop_data/Groundnut.csv",
"jowar": "crop_data/Jowar.csv",
"maize": "crop_data/Maize.csv",
"masoor": "crop_data/Masoor.csv",
"moong": "crop_data/Moong.csv",
"niger": "crop_data/Niger.csv",
"paddy": "crop_data/Paddy.csv",
"ragi": "crop_data/Ragi.csv",
"rape": "crop_data/Rape.csv",
"jute": "crop_data/Jute.csv",
"safflower": "crop_data/Safflower.csv",
"soyabean": "crop_data/Soyabean.csv",
"sugarcane": "crop_data/Sugarcane.csv",
"sunflower": "crop_data/Sunflower.csv",
"urad": "crop_data/Urad.csv",
"wheat": "crop_data/Wheat.csv"
}
def update_list():
arhar = Commodity(commodity_dict["arhar"])
commodity_list.append(arhar)
bajra = Commodity(commodity_dict["bajra"])
commodity_list.append(bajra)
barley = Commodity(commodity_dict["barley"])
commodity_list.append(barley)
copra = Commodity(commodity_dict["copra"])
commodity_list.append(copra)
cotton = Commodity(commodity_dict["cotton"])
commodity_list.append(cotton)
sesamum = Commodity(commodity_dict["sesamum"])
commodity_list.append(sesamum)
gram = Commodity(commodity_dict["gram"])
commodity_list.append(gram)
groundnut = Commodity(commodity_dict["groundnut"])
commodity_list.append(groundnut)
jowar = Commodity(commodity_dict["jowar"])
commodity_list.append(jowar)
maize = Commodity(commodity_dict["maize"])
commodity_list.append(maize)
masoor = Commodity(commodity_dict["masoor"])
commodity_list.append(masoor)
moong = Commodity(commodity_dict["moong"])
commodity_list.append(moong)
niger = Commodity(commodity_dict["niger"])
commodity_list.append(niger)
paddy = Commodity(commodity_dict["paddy"])
commodity_list.append(paddy)
ragi = Commodity(commodity_dict["ragi"])
commodity_list.append(ragi)
rape = Commodity(commodity_dict["rape"])
commodity_list.append(rape)
jute = Commodity(commodity_dict["jute"])
commodity_list.append(jute)
safflower = Commodity(commodity_dict["safflower"])
commodity_list.append(safflower)
soyabean = Commodity(commodity_dict["soyabean"])
commodity_list.append(soyabean)
sugarcane = Commodity(commodity_dict["sugarcane"])
commodity_list.append(sugarcane)
sunflower = Commodity(commodity_dict["sunflower"])
commodity_list.append(sunflower)
urad = Commodity(commodity_dict["urad"])
commodity_list.append(urad)
wheat = Commodity(commodity_dict["wheat"])
commodity_list.append(wheat)
return commodity_list