Stock.py 文件源码

def __init__(self, symbol, *args):
        super().__init__()

        self.data = pd.read_csv(open(r"Stock_Data/{}.csv".format(symbol)))
        self.data = self.data.apply(pd.to_numeric, errors="ignore")
        self.data.index = self.data["Quarter end"]
        self.name = symbol

        if self.data["Price"].dtype in (int, float) and self.data["Cumulative dividends per share"].dtype in (int, float):
            self.data["Value"] = self.data["Price"] + self.data["Cumulative dividends per share"]
            # Calculation of the estimated return
            self.data["Estimated Return"] = self.data["Value"].pct_change()
            # Calculation of the standard deviation
            self.data["Standard Deviation"] = self.data["Value"].std()
        else:
            self.complete_pricelist = False