import pandas as pdimport numpy as npdata=pd.read_excel("C:/Users/mgxx/Desktop/工作簿1.xlsx")#填文件路径data.dropna(axis = 0)#将姓名填满那一行for i in data.index: if i % 2==0: data.iloc[i:i+2:2]=data[11].at[i]#构造空数组list1=[]for i in range(0,len(data[11]),2): for j in range(1,32): list1.append(j)aa = pd.DataFrame((x for x in list1),columns=["日期"])aa["姓名"]=pd.DataFrame((str(x) for x in list1))aa["时间"]=pd.DataFrame((str(x) for x in list1))#把姓名按顺序提取放到列表name=[]for i in range(len(data[11])): for j in range(1,32): if i % 2 ==0: name.append(str(data[j].at[i]))#将打卡时间按顺序提取放到列表time=[]#将提取的数据拼接成表for i in range(len(data[11])): for j in range(1,32): if i % 2 !=0: time.append(str(data[j].at[i]))for i in range(0, len(aa["时间"])): aa["时间"].at[i] = time[i] aa["姓名"].at[i] = name[i]aa2 = pd.DataFrame((str(x).split('\n') for x in aa['时间']), index=aa.index, columns=['上班','下班', '下班2','空'])#付款时间分列，"columns=" 是分列后的列名aa["上班"]=aa2["上班"]aa["下班"]=aa2["下班"]aa["上班"]=aa["上班"].str.replace("nan","")aa['总时间']=pd.to_datetime(aa['下班']) -pd.to_datetime(aa['上班'])aa['总时间']=aa['总时间']/np.timedelta64(1, 'h')#时间间隔转为小时aa.set_index("日期",inplace=True)aa.to_excel("C:/Users/mgxx/Desktop/考勤清洗.xlsx")#输出路径
来源：https://www.cnblogs.com/snackpython/p/11994700.html