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- from LIB.BACKEND import DBManager
- from LIB.MIDDLE.CellStateEstimation.Common import log
- import datetime
- import pandas as pd
- import numpy as np
- import os
- from DataPreProcess import DataPreProcess
- dbManager = DBManager.DBManager()
- #basePath = r'C:\Users\zhuxi\My_VSCode\B 电池低温充电失败次数概率排名\result'
- fileNames = os.listdir('result') #获取文件夹中所有文件的名称
- data_GMGC=pd.DataFrame()
- for k in range(10):
- data_merge = pd.read_csv('result'+'\\'+fileNames[0])
- df_sheetCat=DataPreProcess.data_split_by_status(DataPreProcess,data_merge, drive_interval_threshold=120, charge_interval_threshold=300, drive_stand_threshold=120, charge_stand_threshold=300)
- data_charge=df_sheetCat[df_sheetCat['data_status']=='charge']
- unique_status_idx=np.unique(data_charge.data_split_by_status.values)
- data_I3=pd.DataFrame()
- for n in unique_status_idx:
- df_charge_buff=data_charge[data_charge.data_split_by_status==n]
- list_I=df_charge_buff.loc[2:6,'总电流[A]'].values.tolist()
- if((3 in list_I) and (df_charge_buff['总电流[A]'].value_counts()['3']>3)):
- data_I3=data_I3.append(df_charge_buff)
- data_GMGC=data_GMGC.append(data_I3)
-
- data_GMGC.to_csv('test7.csv')
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