python logging

import os

import logging

from PriceData import PriceData
from pandas import DataFrame
from pandas import Series

class getParseCsvFile:

def __init__(self,csvFile,dt):
self.tChk = False
self.data = []

csvLine = DataFrame.from_csv(csvFile,header=0)
csvLine = DataFrame(csvLine, columns = ['Open','High','Low','Close','Adj Close','Volume','change','percentChange'])
csvLineChange = csvLine.Close.pct_change()*100

logging.info(csvLine)



def getCsvFile(self):
return self.data



if __name__ == "__main__":
logging.basicConfig(filename="./pytrader.log", level=logging.DEBUG)
path = os.path.dirname(os.path.realpath(__file__))
os.chdir(path)
csv= getParseCsvFile('Data/051910.KS.csv','2016-06-20')

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