[Python]Pandas分别筛选出每天男女司机的数据，分别计算男女司机每天累计载客时间和载客里程，再求平均日载客时间和载客里程

数据日期是一串数字，以每天的日期分别筛选出男女司机数据，并保存文件。

代码1：按照日期、性别分类

import pandas as pd
female_data = pd.read_csv('C:\Users\11357\Desktop\男女司机\data_female.csv')
male_data =  pd.read_csv('C:\Users\11357\Desktop\男女司机\data_male.csv')
today = 20220418000000
count = 1000000
while today < 20220425000000:
    next_day = today + 1000000
    male_day = male_data[(male_data['DEP_TIME'] >= today) & (male_data['DEP_TIME'] < next_day)]
    male_day.to_csv('C:\Users\11357\Desktop\男女司机\日期\male_day'+ str(today)[4:8]+'.csv',index = None,encoding = 'utf-8_sig')
    female_day = female_data[(female_data['DEP_TIME'] >= today) & (female_data['DEP_TIME'] < next_day)]
    female_day.to_csv('C:\Users\11357\Desktop\男女司机\日期\female_day'+ str(today)[4:8]+'.csv',index = None,encoding = 'utf-8_sig')
    today += count

代码2：按照日期、性别分类，别求男女司机每天累计行驶时间和里程，还有平均值。完整代码：

import pandas as pd
female_data = pd.read_csv('C:\Users\11357\Desktop\男女司机\data_female.csv')
male_data =  pd.read_csv('C:\Users\11357\Desktop\男女司机\data_male.csv')
today = 20220418000000
count = 1000000
male_drive_mile = []
male_drive_time = []
female_drive_mile = []
female_drive_time = []

while today < 20220425000000:
    next_day = today + 1000000
    male_day = male_data[(male_data['DEP_TIME'] >= today) & (male_data['DEP_TIME'] < next_day)]
    male_drive_mile.append(male_day['DRIVE_MILE'].sum())
    male_drive_time.append(male_day['DRIVE_TIME'].sum())
    male_day.to_csv('C:\Users\11357\Desktop\男女司机\日期\male_day'+ str(today)[4:8]+'.csv',index = None,encoding = 'utf-8_sig')
    
    female_day = female_data[(female_data['DEP_TIME'] >= today) & (female_data['DEP_TIME'] < next_day)]
    female_drive_mile.append(female_day['DRIVE_MILE'].sum())
    female_drive_time.append(female_day['DRIVE_TIME'].sum())
    female_day.to_csv('C:\Users\11357\Desktop\男女司机\日期\female_day'+ str(today)[4:8]+'.csv',index = None,encoding = 'utf-8_sig')
    today += count

time_and_mile = pd.DataFrame([male_drive_mile,
                              male_drive_time,
                              female_drive_mile,
                              female_drive_time],columns = ['2022.4.18','2022.4.19','2022.4.20','2022.4.21','2022.4.22','2022.4.23','2022.4.24'])
time_and_mile.index = ['male_drive_mile','male_drive_time','female_drive_mile','female_drive_time']

def average(time_and_mile):
    i = 18
    average = 0
    while i < 25:
        average += time_and_mile['2022.4.'+ str(i)]
        i+=1
    average /= 7
    return average
time_and_mile ['average'] = time_and_mile.apply(average,axis = 1)
time_and_mile.to_csv('C:\Users\11357\Desktop\mile和time计算.csv',encoding = 'utf-8_sig')

这里数据是有误的，可能是之前筛选的问题，方法无误。