我用itemgetter计算元组的1个月后最大值是什么错误的？
我用这个脚本的输出做了一个图表，最大值是错误的。
我对python很陌生，对itemgetter知之甚少。

import pandas as pd
from datetime import timedelta
from datetime import datetime
from operator import itemgetter

print("Computing 1M trailing maximal pollution concentrations.. ")
data = pd.read_csv('../data/train/all_data_merged/fr/Enriched_Covid_history_data.csv')

data["time"]=pd.to_datetime(data["time"])

pm25tuple = (data['numero'], data['time'], data["pm25"])
no2tuple = (data['numero'], data['time'], data["no2"])
o3tuple = (data['numero'], data['time'], data["o3"])
pm10tuple = (data['numero'], data['time'], data["pm10"])
cotuple = (data['numero'], data['time'], data["co"])

dicpm25 = {(i, j) : k for (i, j, k) in zip(*pm25tuple)}
dicno2 = {(i, j) : k for (i, j, k) in zip(*no2tuple)}
dico3 = {(i, j) : k for (i, j, k) in zip(*o3tuple)}
dicpm10 = {(i, j) : k for (i, j, k) in zip(*pm10tuple)}
dicco = {(i, j) : k for (i, j, k) in zip(*cotuple)}

referencedate = pd.to_datetime("2020-05-14")
def compute_1M_Max_conc(row):
    datalist = []
    date2 = row['time'] - pd.Timedelta("30 days")

    dates = pd.date_range(start = date2, periods=31).tolist()

    for valuedate in dates:
        if(valuedate < referencedate):
            datalist.append(('NaN','NaN','NaN','NaN','NaN'))

        else:
            datalist.append((dicpm25[(row['numero'], pd.to_datetime(str(valuedate)))], \
                            dicno2[(row['numero'], pd.to_datetime(str(valuedate)))], \
                            dico3[(row['numero'], pd.to_datetime(str(valuedate)))], \
                            dicpm10[(row['numero'], pd.to_datetime(str(valuedate)))],\
                            dicco[(row['numero'], pd.to_datetime(str(valuedate)))]))

    cleanedList = [(float(x),float(y),float(z),float(w),float(v)) for (x,y,z,w, v) in datalist if (str(x),str(y),str(z),str(w),str(v)) != ('NaN','NaN','NaN','NaN','NaN')]

    return (max(cleanedList,key=itemgetter(1))[0],\
            max(cleanedList,key=itemgetter(1))[1],\
            max(cleanedList,key=itemgetter(1))[2],\
            max(cleanedList,key=itemgetter(1))[3],\
            max(cleanedList,key=itemgetter(1))[4])

print("Computing maximal pollution concentrations.. ")
data[['1MMaxpm25','1MMaxno2','1MMaxo3','1MMaxpm10','1MMaxco']] = data.apply(compute_1M_Max_conc, axis=1).apply(pd.Series)
print("\n")

print(data)

data.to_csv('../data/train/all_data_merged/fr/Enriched_Covid_history_data.csv', index = False)