data_analyze_platform/USER/LZX/01算法开发/01电压排序/01算法/voltrangecopy.py

import pandas as pd
from sqlalchemy import create_engine
import numpy as np
def cellVolt_rang(sn,df_bms):
    #电压排序................................................................................................................................................................
    print('--------计算中----------')
    sn_choose1 = []
    temp1 = pd.DataFrame()
    df_temp_crnt = df_bms[df_bms['current']>1]#筛选充电数据
    df_temp = df_temp_crnt[df_temp_crnt['position']==2]#筛选充电数据
    if not df_temp.empty:
        df_chrgr = df_temp.reset_index(drop=True)
        df_chrgr_cellvolt = df_chrgr[['cellvolt_2','cellvolt_3','cellvolt_4','cellvolt_5','cellvolt_6','cellvolt_7','cellvolt_8','cellvolt_9']]
        df_chrgr_cellvolt_change = np.array(df_chrgr_cellvolt)#转数组
        df_chrgr_cellvolt_sort = np.argsort(df_chrgr_cellvolt_change)#取排序号
        df_sort_change = pd.DataFrame(df_chrgr_cellvolt_sort)
        df_sort_set = df_sort_change.apply(pd.value_counts)#计算各列出现排列序号的次数
        df_sort_set.fillna(0, inplace=True)#Na值填充0
        X_col=np.size(df_chrgr_cellvolt,0)  #计算 X 的列数
        if X_col > 0:
            temp_list1 = np.max(df_sort_set,axis=0)
            temp_list = temp_list1 < X_col/2

        if any(temp_list):#序号变化的电芯
            sn_choose1.append(sn)
            temp1 = pd.DataFrame(sn_choose1)

    return temp1#,temp2,temp3,temp4