python数据处理编程 从零学python系列之数据处理编程实例（二）

import os
print(os.getcwd())
os.chdir('C:\Python33\HeadFirstPython\hfpy_code\chapter6')  #将工作空间修改为文件所在的目录

#定义函数get_filedata从文件中取值
def get_filedata(filename):
    try:
        with open(filename)  as f:        #with语句打开和自动关闭文件
            data=f.readline()                 #从文件中逐行读取字符
            data_list=data.strip().split(',')   #将字符间的空格清除后，用逗号分隔字符
            return({
                    "name" : data_list.pop(0),
                    "date_of_birth" : data_list.pop(0),
                    "times" : str(sorted(set([modify_time_format(s) for s in data_list]))[0:3])
                    })                                #使用字典将关联的姓名，出生年月，时间键和值进行存储并返回
    except IOError as ioerr:
        print ('File Error' + str(ioerr))     #异常处理，打印错误
        return (None)

#定义函数modify_time_format将所有文件中的时分表达方式统一为“分.秒”
def modify_time_format(time_string):
    if "-" in time_string:
        splitter="-"
    elif ":" in time_string:
        splitter=":"
    else:
        splitter="."
    (mins, secs)=time_string.split(splitter) #用分隔符splitter分隔字符后分别存入mins和secs
    return (mins+ '.' +secs)

#定义函数get_prev_three返回文件中排名前三的不重复的时间成绩
def get_prev_three(filename):
    new_list=[modify_time_format(each_t) for each_t in get_filedata(filename)]   #采用列表推导将统一时分表达方式后的记录生成新的列表
    delete_repetition=set(new_list)                                                                     #采用集合set函数删除新列表中重复项，并生成新的集合
    in_order=sorted(delete_repetition)                                                               #采用复制排序sorted函数对无重复性的新集合进行排序
    return (in_order[0:3])     

#输出james的排名前三的不重复成绩和出生年月
james = get_filedata('james2.txt')
print (james["name"]+"'s fastest times are: " + james["times"])
print (james["name"] + "'s birthday is: "  + james["date_of_birth"])

#输出julie的排名前三的不重复成绩和出生年月
julie = get_filedata('julie2.txt')
print (julie["name"]+"'s fastest times are: " + julie["times"])
print (julie["name"] + "'s birthday is: "  + julie["date_of_birth"])

#输出mikey的排名前三的不重复成绩和出生年月
mikey = get_filedata('mikey2.txt')
print (mikey["name"]+"'s fastest times are: " + mikey["times"])
print (mikey["name"] + "'s birthday is: "  + mikey["date_of_birth"])

#输出sarah的排名前三的不重复成绩和出生年月
sarah = get_filedata('sarah2.txt')
print (sarah["name"]+"'s fastest times are: " + sarah["times"])
print (sarah["name"] + "'s birthday is: "  + sarah["date_of_birth"])

import os
print(os.getcwd())
os.chdir('C:\Python33\HeadFirstPython\hfpy_code\chapter6')  #将工作空间修改为文件所在的目录

#定义类AthleteList继承python内置的list
class AthleteList(list):
    def __init__(self, name, dob=None, times=[]):
        list.__init__([])
        self.name=name
        self.dob=dob
        self.extend(times)
    def get_prev_three(self):
        return (sorted(set([modify_time_format(t) for t in self]))[0:3])

def get_filedata(filename):
    try:
        with open(filename)  as f:        #with语句打开和自动关闭文件
            data=f.readline()                 #从文件中逐行读取字符
            data_list=data.strip().split(',')   #将字符间的空格清除后，用逗号分隔字符
            return(
                   AthleteList(data_list.pop(0), data_list.pop(0), data_list)
                   )                                #使用字典将关联的姓名，出生年月，时间键和值进行存储并返回
    except IOError as ioerr:
        print ('File Error' + str(ioerr))     #异常处理，打印错误
        return (None)

def modify_time_format(time_string):
    if "-" in time_string:
        splitter="-"
    elif ":" in time_string:
        splitter=":"
    else:
        splitter="."
    (mins, secs)=time_string.split(splitter) #用分隔符splitter分隔字符后分别存入mins和secs
    return (mins+ '.' +secs)

james = get_filedata('james2.txt')
print (james.name+"'s fastest times are: " + str(james.get_prev_three()))

julie = get_filedata('julie2.txt')
print (julie.name+"'s fastest times are: " + str(julie.get_prev_three()))

mikey = get_filedata('mikey2.txt')
print (mikey.name+"'s fastest times are: " + str(mikey.get_prev_three()))

sarah = get_filedata('sarah2.txt')
print (sarah.name+"'s fastest times are: " + str(sarah.get_prev_three()))