标签：home code txt 区别 white count pre 练习 hit
1、字典实例：建立学生学号成绩字典，做增删改查遍历操作。
>>> l={‘01‘:79,"02":88,"03":89,"04":74,"05":46,"06":86,‘07‘:90,‘08‘:98}
>>> l
{‘01‘: 79, ‘02‘: 88, ‘03‘: 89, ‘04‘: 74, ‘05‘: 46, ‘06‘: 86, ‘07‘: 90, ‘08‘: 98}
>>> l[‘05‘]
46
>>> l[‘09‘]=95
>>> l
{‘01‘: 79, ‘02‘: 88, ‘03‘: 89, ‘04‘: 74, ‘05‘: 46, ‘06‘: 86, ‘07‘: 90, ‘08‘: 98, ‘09‘: 95}
>>> l.pop(‘07‘)
90
>>> l
{‘01‘: 79, ‘02‘: 88, ‘03‘: 89, ‘04‘: 74, ‘05‘: 46, ‘06‘: 86, ‘08‘: 98, ‘09‘: 95}
>>> l[‘04‘]=88
>>> l
{‘01‘: 79, ‘02‘: 88, ‘03‘: 89, ‘04‘: 88, ‘05‘: 46, ‘06‘: 86, ‘08‘: 98, ‘09‘: 95}
>>>
2、列表，元组，字典，集合的遍历。
总结列表，元组，字典，集合的联系与区别。
>>> list=list(‘8656853529‘) >>> list [‘8‘, ‘6‘, ‘5‘, ‘6‘, ‘8‘, ‘5‘, ‘3‘, ‘5‘, ‘2‘, ‘9‘] >>> tuple=tuple(‘136145314148‘) >>> tuple (‘1‘, ‘3‘, ‘6‘, ‘1‘, ‘4‘, ‘5‘, ‘3‘, ‘1‘, ‘4‘, ‘1‘, ‘4‘, ‘8‘) >>> set=set(list) >>> set {‘3‘, ‘5‘, ‘8‘, ‘9‘, ‘6‘, ‘2‘} >>> for i in list: print(i) 8 6 5 6 8 5 3 5 2 9 >>> for i in tuple: print(i) 1 3 6 1 4 5 3 1 4 1 4 8 >>> for i in set: print(i) 3 5 8 9 6 2 >>> dic=dict(zip(list,tuple)) >>> dic {‘8‘: ‘4‘, ‘6‘: ‘1‘, ‘5‘: ‘1‘, ‘3‘: ‘3‘, ‘2‘: ‘4‘, ‘9‘: ‘1‘} >>> for i in dic: print(i,dic[i]) 8 4 6 1 5 1 3 3 2 4 9 1 >>>
3、英文词频统计实例
1、待分析字符串
k=‘‘‘May you bloom and grow! Bloom and grow forever Edelweiss, edelweiss Bless my homeland forever ? Small and white Clean and bright You look happy to meet me Blossom of snow May you bloom and grow Bloom and grow forever Edelweiss, edelweiss Bless my homeland forever? Edelweiss, edelweiss, Every morning you greet me. Small and white, Clean and bright, You look happy to meet me. Blossom of snow, May you bloom and grow, Bloom and grow forever. Edelweiss, edelweiss, Bless my homeland forever. Small and white, Clean and bright, You look happy to meet me. Blossom of snow May you bloom and grow, Bloom and grow forever. Edelweiss, edelweiss, Bless my homeland forever. ‘‘‘
2、分解提取单词
1、大小写 txt.lower()
k=k.lower() print(k)
may you bloom and grow! bloom and grow forever edelweiss, edelweiss bless my homeland forever ? small and white clean and bright you look happy to meet me blossom of snow may you bloom and grow bloom and grow forever edelweiss, edelweiss bless my homeland forever? edelweiss, edelweiss, every morning you greet me. small and white, clean and bright, you look happy to meet me. blossom of snow, may you bloom and grow, bloom and grow forever. edelweiss, edelweiss, bless my homeland forever. small and white, clean and bright, you look happy to meet me. blossom of snow may you bloom and grow, bloom and grow forever. edelweiss, edelweiss, bless my homeland forever.
2、分隔符‘.,:;?!-_’
k=k.lower() for i in‘,.?!‘: k=k.replace(i,‘ ‘) print(k)
may you bloom and grow bloom and grow forever edelweiss edelweiss bless my homeland forever small and white clean and bright you look happy to meet me blossom of snow may you bloom and grow bloom and grow forever edelweiss edelweiss bless my homeland forever edelweiss edelweiss every morning you greet me small and white clean and bright you look happy to meet me blossom of snow may you bloom and grow bloom and grow forever edelweiss edelweiss bless my homeland forever small and white clean and bright you look happy to meet me blossom of snow may you bloom and grow bloom and grow forever edelweiss edelweiss bless my homeland forever
w=k w=w.split(‘ ‘) print(w)
[‘may‘, ‘you‘, ‘bloom‘, ‘and‘, ‘grow‘, ‘‘, ‘\nbloom‘, ‘and‘, ‘grow‘, ‘forever‘, ‘\nedelweiss‘, ‘‘, ‘edelweiss‘, ‘\nbless‘, ‘my‘, ‘homeland‘, ‘forever‘, ‘‘, ‘\nsmall‘, ‘and‘, ‘white‘, ‘\nclean‘, ‘and‘, ‘bright‘, ‘\nyou‘, ‘look‘, ‘happy‘, ‘to‘, ‘meet‘, ‘me‘, ‘\nblossom‘, ‘of‘, ‘snow‘, ‘\nmay‘, ‘you‘, ‘bloom‘, ‘and‘, ‘grow‘, ‘\nbloom‘, ‘and‘, ‘grow‘, ‘forever‘, ‘\nedelweiss‘, ‘‘, ‘edelweiss‘, ‘\nbless‘, ‘my‘, ‘homeland‘, ‘forever‘, ‘\nedelweiss‘, ‘‘, ‘edelweiss‘, ‘\nevery‘, ‘morning‘, ‘you‘, ‘greet‘, ‘me‘, ‘\nsmall‘, ‘and‘, ‘white‘, ‘\nclean‘, ‘and‘, ‘bright‘, ‘\nyou‘, ‘look‘, ‘happy‘, ‘to‘, ‘meet‘, ‘me‘, ‘\nblossom‘, ‘of‘, ‘snow‘, ‘\nmay‘, ‘you‘, ‘bloom‘, ‘and‘, ‘grow‘, ‘\nbloom‘, ‘and‘, ‘grow‘, ‘forever‘, ‘\nedelweiss‘, ‘‘, ‘edelweiss‘, ‘\nbless‘, ‘my‘, ‘homeland‘, ‘forever‘, ‘\nsmall‘, ‘and‘, ‘white‘, ‘\nclean‘, ‘and‘, ‘bright‘, ‘\nyou‘, ‘look‘, ‘happy‘, ‘to‘, ‘meet‘, ‘me‘, ‘\nblossom‘, ‘of‘, ‘snow\nmay‘, ‘you‘, ‘bloom‘, ‘and‘, ‘grow‘, ‘\nbloom‘, ‘and‘, ‘grow‘, ‘forever‘, ‘\nedelweiss‘, ‘‘, ‘edelweiss‘, ‘\nbless‘, ‘my‘, ‘homeland‘, ‘forever‘, ‘\n‘]
3、单词列表
[‘may‘, ‘you‘, ‘bloom‘, ‘and‘, ‘grow‘, ‘‘, ‘\nbloom‘, ‘and‘, ‘grow‘, ‘forever‘, ‘\nedelweiss‘, ‘‘, ‘edelweiss‘, ‘\nbless‘, ‘my‘, ‘homeland‘, ‘forever‘, ‘‘, ‘\nsmall‘, ‘and‘, ‘white‘, ‘\nclean‘, ‘and‘, ‘bright‘, ‘\nyou‘, ‘look‘, ‘happy‘, ‘to‘, ‘meet‘, ‘me‘, ‘\nblossom‘, ‘of‘, ‘snow‘, ‘\nmay‘, ‘you‘, ‘bloom‘, ‘and‘, ‘grow‘, ‘\nbloom‘, ‘and‘, ‘grow‘, ‘forever‘, ‘\nedelweiss‘, ‘‘, ‘edelweiss‘, ‘\nbless‘, ‘my‘, ‘homeland‘, ‘forever‘, ‘\nedelweiss‘, ‘‘, ‘edelweiss‘, ‘\nevery‘, ‘morning‘, ‘you‘, ‘greet‘, ‘me‘, ‘\nsmall‘, ‘and‘, ‘white‘, ‘\nclean‘, ‘and‘, ‘bright‘, ‘\nyou‘, ‘look‘, ‘happy‘, ‘to‘, ‘meet‘, ‘me‘, ‘\nblossom‘, ‘of‘, ‘snow‘, ‘\nmay‘, ‘you‘, ‘bloom‘, ‘and‘, ‘grow‘, ‘\nbloom‘, ‘and‘, ‘grow‘, ‘forever‘, ‘\nedelweiss‘, ‘‘, ‘edelweiss‘, ‘\nbless‘, ‘my‘, ‘homeland‘, ‘forever‘, ‘\nsmall‘, ‘and‘, ‘white‘, ‘\nclean‘, ‘and‘, ‘bright‘, ‘\nyou‘, ‘look‘, ‘happy‘, ‘to‘, ‘meet‘, ‘me‘, ‘\nblossom‘, ‘of‘, ‘snow\nmay‘, ‘you‘, ‘bloom‘, ‘and‘, ‘grow‘, ‘\nbloom‘, ‘and‘, ‘grow‘, ‘forever‘, ‘\nedelweiss‘, ‘‘, ‘edelweiss‘, ‘\nbless‘, ‘my‘, ‘homeland‘, ‘forever‘, ‘\n‘]
’3、单词计数字典
k=k.lower() for i in‘,.?!‘: k=k.replace(i,‘ ‘) w=k w=w.split(‘ ‘) print(w) dict={} for i in w: dict[i]=w.count(i) print(i,dict[i])
may 1 you 5 bloom 4 and 14 grow 8 7 bloom 4 and 14 grow 8 forever 8 edelweiss 5 7 edelweiss 5 bless 4 my 4 homeland 4 forever 8 7 small 3 and 14 white 3 clean 3 and 14 bright 3 you 3 look 3 happy 3 to 3 meet 3 me 4 blossom 3 of 3 snow 2 may 2 you 5 bloom 4 and 14 grow 8 bloom 4 and 14 grow 8 forever 8 edelweiss 5 7 edelweiss 5 bless 4 my 4 homeland 4 forever 8 edelweiss 5 7 edelweiss 5 every 1 morning 1 you 5 greet 1 me 4 small 3 and 14 white 3 clean 3 and 14 bright 3 you 3 look 3 happy 3 to 3 meet 3 me 4 blossom 3 of 3 snow 2 may 2 you 5 bloom 4 and 14 grow 8 bloom 4 and 14 grow 8 forever 8 edelweiss 5 7 edelweiss 5 bless 4 my 4 homeland 4 forever 8 small 3 and 14 white 3 clean 3 and 14 bright 3 you 3 look 3 happy 3 to 3 meet 3 me 4 blossom 3 of 3 snow may 1 you 5 bloom 4 and 14 grow 8 bloom 4 and 14 grow 8 forever 8 edelweiss 5 7 edelweiss 5 bless 4 my 4 homeland 4 forever 8 1 >>>
标签：home code txt 区别 white count pre 练习 hit
原文地址：http://www.cnblogs.com/095lqt/p/7598047.html
