from processFile import processFile
import numpy as np

class processFile:

	@staticmethod
	def wholeFile(f):
		fileArray = []
		for line in f:
			fileArray.append(line.strip())
		return fileArray

	@staticmethod
	def liner(rows, columns, delimiter):
		lines = []
		for row in rows:
			line = []
			tok = row.split(delimiter)
			for num in columns:
				lines.append(float(tok[num]))
		return lines

class linRegmain:
	def openfile(self, file):
		f = open(file)
		a = processFile.wholeFile(f)[1:]
		dataAvgandtemp = processFile.liner(a, [2,3], ";")
		self.xs = self.tempDiff(dataAvgandtemp)
		self.ys = processFile.liner(a,[1], ";")
		print self.xs
		print self.ys


	def tempDiff(self, lines):
		tdArray = []
		for line in lines:
			tdArray.append([line[0]-line[1]])
		return tdArray

	def train():
		pass

	def run():
		pass

	def evaluate():
		pass

if __name__ == '__main__':
	LR = linRegmain()
	LR.openfile('djia_temp.csv')