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')