def loadItaAll():
pathc = "../Data/Italian Data/"
if platform.system() == "Windows":
pathc.replace("/", "\\")
filename = "National Data.csv"
dates, infectRaw, recovRaw, deadRaw = process.loadData(pathc + filename)
pop = 60000000
skipDays = 0
numDays = len(infectRaw)
dates = dates[skipDays:numDays]
infect = infectRaw[skipDays:numDays]
recov = recovRaw[skipDays:numDays]
dead = deadRaw[skipDays:numDays]
return dates, infect, recov, dead, pop
def loadCalEarly():
pathc = "../Data/State Data/"
if platform.system() == "Windows":
pathc.replace("/", "\\")
filename = "CA.csv"
dates, infectRaw, recovRaw, deadRaw = process.loadData(pathc + filename)
recovRaw = process.getRecov(infectRaw, deadRaw)
infectRaw = process.getCurrentInfect(infectRaw, recovRaw, deadRaw)
pop = 40000000
skipDays = 0
numDays = 275 #from start to end of first wave
infect = infectRaw[skipDays:numDays]
recov = recovRaw[skipDays:numDays]
dead = deadRaw[skipDays:numDays]
return dates, infect, recov, dead, pop
import Models.process as process
import numpy as np
import csv
import matplotlib.pyplot as plt
import platform
#pathc = "../Data/Italian Data/"
pathc = "../Data/State Data/"
if platform.system() == "Windows":
pathc.replace("/", "\\")
#filename = "National Data.csv"
filename = "CA.csv"
dates, infectRaw, recovRaw, deadRaw = process.loadData(pathc + filename)
recovRaw = process.getRecov(infectRaw, deadRaw)
infectRaw = process.getCurrentInfect(infectRaw, recovRaw, deadRaw)
#pop = 60000000
pop = 40000000
skipDays = 0
numDays = len(infectRaw) #just to get initial beginning data
#asympt = asymptRaw[skipDays:numDays]
infect = infectRaw[skipDays:numDays]
recov = recovRaw[skipDays:numDays]
dead = deadRaw[skipDays:numDays]
daysToPredict = 150