'''
Created on Oct 9, 2018

@author: studlab240
'''
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from matplotlib import pylab
from pylab import *
'''A = np.arange(10)
print (A)
B = np.reshape(np.arange(9),(3,3))
print (B)
C = np.reshape(np.arange(2*3*4),(2,3,4))
print (C)
a = np.array(23)
print (a)'''
'''data = np.loadtxt("abcnot.txt", delimiter=",")
print(data)'''

df = pd.read_csv('pag6.txt',sep=',')
arr = np.array(df)
print(arr)

def test(arr,a1,a2):
    for i in range(arr.shape[0]):
          plt.plot(arr[i][0],arr[i][1],'o')
          a1.append(arr[i][0])
          a2.append(arr[i][1])
    print(a1)
    print(a2)

'''plt.plot(arr[:40][:2],arr[:10][:2],'o')'''
a1 = []
a2 = []
test(arr,a1,a2)
print(corrcoef([a1,a2]))
b=estimate_coef(a1,a2)

plot_regression_line(x,y,b)
pylab.show()