题目如下:
简化版解答复杂版解答
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='')
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



