数字类型

整型   int()

1.用途:年龄、号码、等级

2.定义:可以使用int()方法将纯数字的字符串转为十进制的整型

x=10

浮点型

1.作用

薪资、身高

2.定义方式

x=10.2

字符串类型内置方法 str()

一、作用

姓名

二、定义方式

x='name'

三、内置方法

优先掌握

1.索引取值

s = 'hello world'
print(s[0])    # h
print(s[-1])    # d

2.索引切片

s = 'nick handsome'

print(s[0:4])  # 顾头不顾尾  nick
print(s[0:4:2])  # 2表示步长,隔一个取一个  nc
print(1, s[4:0:-1])  # +从左到右,-表示从右到左  1 kci
print(1, s[2:])  # 左边的不写取到最左边,右边的不写取到最右边 ck handsome

3.for循环

s = 'nick handsome'  #循环出每一个字符
for i in s:
    print(i)

4.成员运算

s = 'nick handsome'  #判断是否存在该序列,返回布尔值
print('nick' in s)
print('nick1' not in s)  # True

5.len长度

s1 = 'nick handsome'  #计算字符长度
print(len(s1))   #13

6.strip()

# 默认去除两端空格,可以指定去除的字符,可以指定多个字符同时去掉
s1 = 'a  nick   ******'
print(s1.strip())
print(s1.strip(' kc*'))  # 可以乱序,但是不能没有
name1 = '    byx 'print(name1.strip())    # byx
name2 = '$by$x$'print(name2.strip('$'))    # by$x    中间的符号不会去除
print(name2.lstrip('$'))    # by$x$
print(name2.rstrip('$'))    # $by$x

7.split()

s2 = 'nick|123658|180|140'
print(s2.split('|'))  # 按照|切割字符串,得到的是一个列表
['nick', '123658', '180', '140']

8.replace()

str = 'Rome was not built in one day'
res = str.replace('day', 'month')
print(res)    # Rome was not built in one month
print(str)    # Rome was not built in one day    原字符串没变

 9.join()

user_list = ['byx', '18', 'male']
res = '|'.join(user_list)
print(res)    # byx|18|male

需要掌握

1.rstrip/lstrip

# strip()  默认去除两端空格
s3 = '**nick**'  #lstrip 从左开始去除,rstrip  从右边开始去除
print(s3.lstrip('*'))
print(s3.rstrip('*'))

2.rsplit/split

 #split默认从左边开始切割
s = 'nick|handsome|180|140|'print(s.split('|',2))
print(s.rsplit('|',1))  # 从右切割
打印结果为:
['nick', 'handsome', '180|140|'] ['nick|handsome|180|140', '']

 3.lower/upper

s3 = 'Nick'
print(s3.lower())  # 小写
print(s3.upper())  # 大写

4.startswith/endswith

s4 = 'nick handsome'
print(s4.startswith('nick'))  # 以。。。开始  返回布尔值
print(s4.endswith('some'))  # 以。。。结束
打印结果为:True
      True

5.isdigit/isalpha

s = 'a123123'
print(s.isdigit())  # 判断字符串内字符是否都为数字, 返回布尔值
s = 'askdlfj234'
print(s.isalpha())  # 判断字符串内字符是否都为字母
打印结果为:Flase
      False

了解

1.find / rfind / index / rindex / count

s = 'nick handsome'
print(s.find('h'))  # 找索引,-1表示没找到   5
print(s.rfind('h',6,10))                  -1

print(s.index('h'))                       5
# print(s.index('sadf'))  # 找不到报错
# print(s.find('sadf'))  # 找不到返回-1

s = 'aaaaacccc'
print(s.count('a'))  #计数                 5

2.center / ljust / rjust / zfill

 s = 'nick'
print(s.center(50,'*')) # 居中
print(s.ljust(50,'*'))
 print(s.rjust(50,'*'))
s = '111'
print(s.zfill(8))  #自动补足8位  常用于二进制
打印结果为:
***********************nick*********************** nick********************************************** **********************************************nick 00000111

3.expandtabs

s = 'b	yx'
print(s)    # b yx
print(s.expandtabs(10))    # b         yx    # table键变为10个空格

4.capital / swapcase / title

s = 'nickNick handsome'
print(s.capitalize())  # 首字母大写
print(s.swapcase())  #全部大写
print(s.title())  # 每个单词的首字母大写
打印结果为:
Nicknick handsome
NICKnICK HANDSOME
Nicknick Handsome

5.is系列

sdecimal(): 检查字符串是否值包含十进制字符,如果是返回True,否则返回False。

isdigit(): 如果字符串只包含数字则返回True,否则返回False。

isnumeric(): 如果字符串中只包含数字字符,则返回True,否则返回False。

 列表类型内置方法  list()

1.索引取值

# list之索引取值
name_list = ['nick', 'jason', 'tank', 'sean']
name_list[0] = 'nick handsom'
# name_list[1000] = 'tank sb'  # 报错

print(f"name_list[0]: {name_list[0]}")
打印结果为:name_list[0]: nick handsom


2.切片

# list之切片
name_list = ['nick', 'jason', 'tank', 'sean']

print(f"name_list[0:3:2]: {name_list[0:3:2]}")
打印结果:name_list[0:3:2]: ['nick', 'tank']

3.长度

# list之长度
name_list = ['nick', 'jason', 'tank', 'sean']

print(f"len(name_list): {len(name_list)}")
打印结果为:len(name_list): 4

4.成员运算 in 和 not in

# list之成员运算in和not in
name_list = ['nick', 'jason', 'tank', 'sean']

print(f"'tank sb' in name_list: {'tank sb' in name_list}")
print(f"'nick handsome' not in name_list: {'nick handsome' not in name_list}")
打印结果为:'tank sb' in name_list: False
          'nick handsome' not in name_list: True

5.追加值

# list之追加值
name_list = ['nick', 'jason', 'tank', 'sean']
name_list.append('tank sb')

print(f"name_list: {name_list}")
打印结果为:name_list: ['nick', 'jason', 'tank', 'sean', 'tank sb']

6.删除

# list之删除
name_list = ['nick', 'jason', 'tank', 'sean']
del name_list[2]

print(f"name_list: {name_list}")
打印结果:name_list: ['nick', 'jason', 'sean']

7.循环

# list之循环
name_list = ['nick', 'jason', 'tank', 'sean']

for name in name_list:
    print(name)
打印结果:nick
     jason
      tank
      sean

 8.inster()

# list之insert()
name_list = ['nick', 'jason', 'tank', 'sean']
name_list.insert(1, 'handsome')

print(f"name_list: {name_list}")
打印结果为:name_list: ['nick', 'handsome', 'jason', 'tank', 'sean']

9.pop()

# list之pop(),pop()默认删除最后一个元素
name_list = ['nick', 'jason', 'tank', 'sean']

print(f"name_list.pop(1): {name_list.pop(1)}")
print(f"name_list: {name_list}")
打印结果为:
name_list.pop(
1): jason name_list: ['nick', 'tank', 'sean']

10.remove()

# list之remove()
name_list = ['nick', 'jason', 'tank', 'sean']

print(f"name_list.remove('nick'): {name_list.remove('nick')}")
print(f"name_list: {name_list}")
打印结果为:
name_list.remove('nick'): None
name_list: ['jason', 'tank', 'sean']

11.count()

# list之count()
name_list = ['nick', 'jason', 'tank', 'sean']

print(f"name_list.count('nick'): {name_list.count('nick')}")
打印结果为:name_list.count('nick'): 1

12.index()

# list之index()
name_list = ['nick', 'jason', 'tank', 'sean']

print(f"name_list.index('nick'): {name_list.index('nick')}")
打印结果:name_list.index('nick'): 0

13.clear()

# list之clear()
name_list = ['nick', 'jason', 'tank', 'sean']
name_list.clear()

print(f"name_list: {name_list}")
打印结果为:name_list: []

14.copy()

# list之copy()
name_list = ['nick', 'jason', 'tank', 'sean']

print(f"name_list.copy(): {name_list.copy()}")
打印结果为:name_list.copy(): ['nick', 'jason', 'tank', 'sean']

15.extend()  列表拼接

# list之extend()
name_list = ['nick', 'jason', 'tank', 'sean']
name_list2 = ['nick handsome']
name_list.extend(name_list2)

print(f"name_list: {name_list}")
打印结果:name_list: ['nick', 'jason', 'tank', 'sean', 'nick handsome']

16.reverse()  反序

# list之reverse()
name_list = ['nick', 'jason', 'tank', 'sean']
name_list.reverse()

print(f"name_list: {name_list}")
打印结果:name_list: ['sean', 'tank', 'jason', 'nick']

17.sort()

# list之sort(),使用sort列表的元素必须是同类型的
name_list = ['nick', 'jason', 'tank', 'sean']
name_list.sort()

print(f"name_list: {name_list}")

name_list.sort(reverse=True)
print(f"name_list_reverse: {name_list}")
打印结果为:
name_list: ['jason', 'nick', 'sean', 'tank']
name_list_reverse: ['tank', 'sean', 'nick', 'jason']

 列表属于可变数据类型

元祖类型内置方法(tuple)

定义:在()内可以有多个任意类型的值,逗号分隔元素

1.索引取值

# tuple之索引取值
name_tuple = ('nick', 'jason', 'tank', 'sean')
# name_tuple[0] = 'nick handsom'  # 报错

print(f"name_tuple[0]: {name_tuple[0]}")
name_tuple[0]: nick

2.切片(顾头不顾尾,步长)

# tuple之切片
name_tuple = ('nick', 'jason', 'tank', 'sean')

print(f"name_tuple[1:3:2]: {name_tuple[1:3:2]}")
name_tuple[1:3:2]: ('jason',)

3.长度

# tuple之长度
name_tuple = ('nick', 'jason', 'tank', 'sean')

print(f"len(name_tuple): {len(name_tuple)}")
len(name_tuple): 4

4.成员运算

# tuple之成员运算
name_tuple = ('nick', 'jason', 'tank', 'sean')

print(f"'nick' in name_tuple: {'nick' in name_tuple}")
'nick' in name_tuple: True

5.循环

# tuple之循环
name_tuple = ('nick', 'jason', 'tank', 'sean')

for name in name_tuple:
    print(name)
nick
jason
tank
sean

6.count()   # 用于统计某个元素在元祖中出现的次数

# tuple之count()
name_tuple = ('nick', 'jason', 'tank', 'sean')

print(f"name_tuple.count('nick'): {name_tuple.count('nick')}")
name_tuple.count('nick'): 1

7.index()  #用于从元祖中找出某个对象第一个匹配项的索引位置,如果这个对象不在元祖中会报一个异常。

# tuple之index()
name_tuple = ('nick', 'jason', 'tank', 'sean')

print(f"name_tuple.index('nick'): {name_tuple.index('nick')}")

元祖为不可变数据类型

 字典类型内置方法(dict)

定义:{}内用逗号分隔开多个元素,每一个元素都是key:value的形式,value可以是任意数据类型,而key通常应该是字符串类型,但是key必须为不可变类型。

1.按key存取值

# dic之按key存取值
dic = {'a': 1, 'b': 2}

print(f"first dic['a']: {dic['a']}")

dic['a'] = 3

print(f"second dic['a']: {dic['a']}")
first dic['a']: 1
second dic['a']: 3

2.长度

# dic之长度len
dic = {'a': 1, 'b': 2}

print(f"len(dic): {len(dic)}")
len(dic): 2

3.成员运算符

# dic之成员运算in和not in
dic = {'a': 1, 'b': 2}

print(f"'a' in dic: {'a' in dic}")
print(f"1 in dic: {1 in dic}")
'a' in dic: True
1 in dic: False

4.删除

# dic之删除del
dic = {'a': 1, 'b': 2}
del dic['a']

print(f"dic.get('a'): {dic.get('a')}")
dic.get('a'): None
# dic之删除pop()
dic = {'a': 1, 'b': 2}
dic.pop('a')  # 指定元素删除

print(f"dic.pop('b'): {dic.pop('b')}")   #打印出删除的元素值
print(f"dic.get('a'): {dic.get('a')}")
dic.pop('b'): 2
dic.get('a'): None
# dic之删除popitem()
dic = {'a': 1, 'b': 2}

print(f"dic.popitem(): {dic.popitem()}")  # popitem() 方法随机返回并删除字典中的一对键和值(一般删除末尾对)。
dic.popitem(): ('b', 2)


5.键keys()、值values()、键值对items()

# dic之键keys()、值values()、键值对items(),python2中取出的是列表(鸡蛋);python3中取出的是元组(鸡)
dic = {'a': 1, 'b': 2}

print(f"dic.keys(): {dic.keys()}")
print(f"dic.values(): {dic.values()}")
print(f"dic.items(): {dic.items()}")
dic.keys(): dict_keys(['a', 'b'])
dic.values(): dict_values([1, 2])
dic.items(): dict_items([('a', 1), ('b', 2)])

6.循环

# dic之循环
# dic是无序的,但是python3采用了底层优化算法,所以看起来是有序的,但是python2中的字典是无序
dic = {'a': 1, 'b': 2, 'c': 3, 'd': 4}

for k, v in dic.items():  # items可以换成keys()、values()
    print(k, v)
a 1
b 2
c 3
d 4

 7.get()

# dic之get()
dic = {'a': 1, 'b': 2}

print(f"dic.get('a'): {dic.get('a')}")
print(f"dic.get('c'): {dic.get('c')}")
dic.get('a'): 1
dic.get('c'): None

8.update()  用于更新字典中的键/值对,可以修改存在的键对应的值,也可以添加新的键/值对到字典中

# dic之update()
dic1 = {'a': 1, 'b': 2}
dic2 = {'c': 3}
dic1.update(dic2)

print(f"dic1: {dic1}")
dic1: {'a': 1, 'b': 2, 'c': 3}

9.fromkeys() 用于创建一个新的字典,并以可迭代对象中的元素分别作为字典中的键,且所有键对应同一个值,默认为None。

# dic之fromkeys()
dic = dict.fromkeys(['name', 'age', 'sex'], None)

print(f"dic: {dic}")
dic: {'name': None, 'age': None, 'sex': None}


10.setdefault()

# dic之setdefault(),有指定key不会改变值;无指定key则改变值
dic = {'a': 1, 'b': 2}

print(f"dic.setdefault('a'): {dic.setdefault('a',3)}")
print(f"dic: {dic}")
print(f"dic.setdefault('c'): {dic.setdefault('c',3)}")
print(f"dic: {dic}")
dic.setdefault('a'): 1
dic: {'a': 1, 'b': 2}
dic.setdefault('c'): 3
dic: {'a': 1, 'b': 2, 'c': 3}

集合类型内置方法(set)

1.用途:用于关系运算的集合体,由于集合内的元素无序且集合元素不可重复,因此集合可以去重,但是去重后的集合会打乱原来元素的顺序。

2.定义:{}内用逗号分隔开多个元素,每个元素必须是不可变类型。

内置方法:

1.len

# set之长度len
s = {1, 2, 'a'}

print(f"len(s): {len(s)}")
len(s): 3

2.成员运算和not in

# set之成员运算in和not in
s = {1, 2, 'a'}

print(f"1 in s: {1 in s}")
1 in s: True

3. |并集、union

# str之|并集
pythoners = {'jason', 'nick', 'tank', 'sean'}
linuxers = {'nick', 'egon', 'kevin'}

print(f"pythoners|linuxers: {pythoners|linuxers}")
print(f"pythoners.union(linuxers): {pythoners.union(linuxers)}")
pythoners|linuxers: {'egon', 'tank', 'kevin', 'jason', 'nick', 'sean'}
pythoners.union(linuxers): {'egon', 'tank', 'kevin', 'jason', 'nick', 'sean'}

4.&交集、intersection

# str之&交集
pythoners = {'jason', 'nick', 'tank', 'sean'}
linuxers = {'nick', 'egon', 'kevin'}

print(f"pythoners&linuxers: {pythoners&linuxers}")
print(f"pythoners.intersection(linuxers): {pythoners.intersection(linuxers)}")
pythoners&linuxers: {'nick'}
pythoners.intersection(linuxers): {'nick'}

5.-差集、difference

# str之-差集
pythoners = {'jason', 'nick', 'tank', 'sean'}
linuxers = {'nick', 'egon', 'kevin'}

print(f"pythoners-linuxers: {pythoners-linuxers}")
print(f"pythoners.difference(linuxers): {pythoners.difference(linuxers)}")
pythoners-linuxers: {'tank', 'jason', 'sean'}
pythoners.difference(linuxers): {'tank', 'jason', 'sean'}

6.^对称差集

# str之^对称差集
pythoners = {'jason', 'nick', 'tank', 'sean'}
linuxers = {'nick', 'egon', 'kevin'}

print(f"pythoners^linuxers: {pythoners^linuxers}")
print(
    f"pythoners.symmetric_difference(linuxers): {pythoners.symmetric_difference(linuxers)}")
pythoners^linuxers: {'egon', 'tank', 'kevin', 'jason', 'sean'}
pythoners.symmetric_difference(linuxers): {'egon', 'tank', 'kevin', 'jason', 'sean'}

7.==

# str之==
pythoners = {'jason', 'nick', 'tank', 'sean'}
linuxers = {'nick', 'egon', 'kevin'}
javers = {'nick', 'egon', 'kevin'}

print(f"pythoners==linuxers: {pythoners==linuxers}")
print(f"javers==linuxers: {javers==linuxers}")
pythoners==linuxers: False
javers==linuxers: True

8.父集:>、>=

# str之父集:>、>=
pythoners = {'jason', 'nick', 'tank', 'sean'}
linuxers = {'nick', 'egon', 'kevin'}
javaers = {'jason', 'nick'}

print(f"pythoners>linuxers: {pythoners>linuxers}")
print(f"pythoners>=linuxers: {pythoners>=linuxers}")
print(f"pythoners>=javaers: {pythoners>=javaers}")
print(f"pythoners.issuperset(javaers): {pythoners.issuperset(javaers)}")
pythoners>linuxers: False
pythoners>=linuxers: False
pythoners>=javaers: True
pythoners.issuperset(javaers): True

9.子集:<、<=

# str之子集:<、<=
pythoners = {'jason', 'nick', 'tank', 'sean'}
linuxers = {'nick', 'egon', 'kevin'}
javaers = {'jason', 'nick'}

print(f"pythoners<linuxers: {pythoners<linuxers}")
print(f"pythoners<=linuxers: {pythoners<=linuxers}")
print(f"javaers.issubset(javaers): {javaers.issubset(javaers)}")
pythoners<linuxers: False
pythoners<=linuxers: False
javaers.issubset(javaers): True

10.add()

# set之add()
s = {1, 2, 'a'}
s.add(3)

print(s)
{1, 2, 3, 'a'}

11.remove()

# set之remove()
s = {1, 2, 'a'}
s.remove(1)

print(s)
{2, 'a'}


12.difference_update()

# str之difference_update()
pythoners = {'jason', 'nick', 'tank', 'sean'}
linuxers = {'nick', 'egon', 'kevin'}
pythoners.difference_update(linuxers)

print(f"pythoners.difference_update(linuxers): {pythoners}")
pythoners.difference_update(linuxers): {'tank', 'jason', 'sean'}

数据类型总结

存一个值or多个

存一个值: 整型/浮点型/字符串

存多个值: 列表/元组/字典/集合

有序or无序

有序:字符串/列表/元组(序列类型) 无序:字典/集合

可变or不可变

可变:列表/字典/集合 不可变:整型/浮点型/字符串/元组

原文地址:https://www.cnblogs.com/fjn839199790/p/11593663.html