Dma.py 文件源码

def makeMa(self):
        self.df.sort_values(by=('dateline'), ascending=False)
        #print self.df
        #sys.exit()
        ma_list = [5, 89]
        for ma in ma_list:
            self.df['MA_' + str(ma)] = pandas.rolling_mean(self.df['close'], ma)

        #self.df = self.df[self.df['MA_89'].notnull()]
        #print self.df
        #sys.exit()
        #?? code[13]
        self.df['dif'] = self.df['MA_5'] - self.df['MA_89']
        #??code[14]
        self.df['difma'] = pandas.rolling_mean(self.df['dif'], 36)