从零学python系列之数据处理编程实例(二)

2019-10-06 15:55:47王冬梅

        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"])