stock.py 文件源码

def getFlatVolume(series_volumes):
        """????????????? return: float"""
        results = np.array(series_volumes)
        results_n = np.zeros((len(results),2))
        results_n[:,0] = 1
        results_n[:,1] = np.array(results)  
        #???3?? ?????????????
        k = KMeans(3)
        k.fit(results_n)
        df = pd.DataFrame(k.labels_)
        df_c = pd.DataFrame(k.cluster_centers_)
        v = []
        for i in range(3):
            v.append( df[df[0]==i].count()[0])
        df_c[2] = v
        return df_c.iloc[df_c[2].argmax()][1]


    #
    #????
    #----------------------------------------------------------------------