python 字典查询比列表快_Python 字典和列表的对比应用

Q:将下列格式的txt文件，打印出该选手的3个最快跑步时间

james2.txt =>“James Lee,2002-3-14,2-34,3:21,2.34,2.45,3.01,2:01,2:01,3:10,2-22,2-01,2.01,2:16"

julie2.txt =>Julie Jones,2002-8-17,2.59,2.11,2:11,2:23,3-10,2-23,3:10,3.21,3-21,3.01,3.02,2:59

mikey2.txt =>Mikey McManus,2002-2-24,2:22,3.01,3:01,3.02,3:02,3.02,3:22,2.49,2:38,2:40,2.22,2-31

sarah2.txt =>Sarah Sweeney,2002-6-17,2:58,2.58,2:39,2-25,2-55,2:54,2.18,2:55,2:55,2:22,2-21,2.22

注.pop()方法从指定列表位置删除并返回一个数据项。

1.通过数据抽取到列表来实现

def senitize(time_string):

if '-' in time_string:

splitter='-'

elif ':' in time_string:

splitter=':'

else:

return(time_string)

(mins,secs)=time_string.split(splitter)

return(mins+'.'+secs)

def get_coach_data(filename):

try:

with open(filename) as f:

data=f.readline()

return(data.strip().split(','))

except IOError as ioerr:

print('File error' +str (ioerr))

return (None)

sarah=get_coach_data('sarah2.txt')

(sarah_name,sarah_dob)=sarah.pop(0), sarah.pop(0)

print(sarah_name+"'s fastest times are:"+ str(sorted(set([senitize(t) for t in sarah]))[0:3]))

========== RESTART: C:/Users/eric/Documents/Python/kelly/kelly2.py ==========

Sarah Sweeney's fastest times are:['2.18', '2.21', '2.22']

2. 通过创建字典来实现

def senitize(time_string):

if '-' in time_string:

splitter='-'

elif ':' in time_string:

splitter=':'

else:

return(time_string)

(mins,secs)=time_string.split(splitter)

return(mins+'.'+secs)

def get_coach_data(filename):

try:

with open(filename) as f:

data=f.readline()

return(data.strip().split(','))

except IOError as ioerr:

print('File error' +str (ioerr))

return (None)

sarah=get_coach_data('sarah2.txt')

sarah_data={}

sarah_data['Name']=sarah.pop(0)

sarah_data['DOB']=sarah.pop(0)

sarah_data['Times']=sarah

print(sarah_data['Name']+"'s fastest times are:"+ str(sorted(set([senitize(t) for t in sarah_data['Times']]))[0:3]))

3.将字典和数据打印全部写入函数

def senitize(time_string):

if '-' in time_string:

splitter='-'

elif ':' in time_string:

splitter=':'

else:

return(time_string)

(mins,secs)=time_string.split(splitter)

return(mins+'.'+secs)

def get_coach_data(filename):

try:

with open(filename) as f:

data=f.readline()

user=data.strip().split(',')

user_data={}

user_data['Name']=user.pop(0)

user_data['DOB']=user.pop(0)

user_data['Times']=user

print(user_data['Name']+"'s fastest times are:"+ str(sorted(set([senitize(t) for t in user_data['Times']]))[0:3]))

except IOError as ioerr:

print('File error' +str (ioerr))

return (None)

get_coach_data('sarah2.txt')

get_coach_data('james2.txt')

get_coach_data('mikey2.txt')

get_coach_data('julie2.txt')

========== RESTART: C:/Users/eric/Documents/Python/kelly/kelly2.py ==========

Sarah Sweeney's fastest times are:['2.18', '2.21', '2.22']

James Lee's fastest times are:['2.01', '2.16', '2.22']

Mikey McManus's fastest times are:['2.22', '2.31', '2.38']

Julie Jones's fastest times are:['2.11', '2.23', '2.59']

总结

以上是生活随笔为你收集整理的python 字典查询比列表快_Python 字典和列表的对比应用的全部内容，希望文章能够帮你解决所遇到的问题。

如果觉得生活随笔网站内容还不错，欢迎将生活随笔推荐给好友。