import json
import numpy as np
import matplotlib.pyplot as plt

colorList = json.load(open('color/config.json','r'))["color"]

import csv

with open('data/passenger.csv', 'r') as f:
    reader = csv.reader(f)
    header = next(reader)
    data = [row for row in reader]

data = np.array(data).astype(int).T

xList = data[1]
yList = data[2]/data[1]

plt.scatter(xList,yList,color=colorList[0])

from scipy.optimize import curve_fit
def linear(x,k,b):
    return k*x+b
valk,valb = curve_fit(linear,xList,yList)[0]
residuals = yList - linear(xList,valk,valb)
ss_res = np.sum(residuals**2)
ss_tot = np.sum((yList-np.mean(yList))**2)
r_squared = 1 - (ss_res / ss_tot)
print("R-squared:", r_squared)

plt.plot(np.arange(0,80000,1000),linear(np.arange(0,80000,1000),valk,valb),color=colorList[1])

bar_width = 0.25

plt.legend()
plt.show()