题目如下：

 简化版解答

       

with open('car_data.txt','r',encoding='gbk') as file:
    list = file.readlines()  # 读取每一行
for i in list:
    list = i.split(',')  # 字符串分割，返回列表
    if(list[0] == '2:00' and list[2]>'31.30'):    # 筛选想要的数据
        print("时间:{} 车牌:{} 北纬:{} 东经:{}".format(list[0],list[1],list[2],list[3]),end='')

 

复杂版解答

import pandas as pd
import numpy as np
df = pd.DataFrame(data=None,columns=['时间','车牌','北纬','东经'])  # 创建空的dataframe
with open('car_data.txt','r',encoding='gbk') as file:
    list = file.readlines()
count = 0
for i in list:  # 将数据添加进dataframe中
    s = i.split(',')
    df.loc[count] = s
    count = count+1

df['北纬'] = df['北纬'].astype(float)  # 转换数据类型
df_new = df[(df['时间'] == '2:00') & (df['北纬'] > 31.30)]  # dataframe筛选指定的数据
df_new
array = np.array(df_new)  # df转为array
list = array.tolist()     # array转为list
for i in list:
    print("时间:{} 车牌:{} 北纬:{:.10f} 东经:{}".format(i[0],i[1],i[2],i[3]),end='')
    

其结果都为