1 class int(object):
  2     """
  3     int(x=0) -> int or long
  4     int(x, base=10) -> int or long
  5
  6     Convert a number or string to an integer, or return 0 if no arguments
  7     are given.  If x is floating point, the conversion truncates towards zero.
  8     If x is outside the integer range, the function returns a long instead.
  9
 10     If x is not a number or if base is given, then x must be a string or
 11     Unicode object representing an integer literal in the given base.  The
 12     literal can be preceded by '+' or '-' and be surrounded by whitespace.
 13     The base defaults to 10.  Valid bases are 0 and 2-36.  Base 0 means to
 14     interpret the base from the string as an integer literal.
 15     >>> int('0b100', base=0)
 16     """
 17     def bit_length(self):
 18         """ 返回表示该数字的时占用的最少位数 """
 19         """
 20         int.bit_length() -> int
 21
 22         Number of bits necessary to represent self in binary.
 23         >>> bin(37)
 24         '0b100101'
 25         >>> (37).bit_length()
 26         """
 27         return 0
 28
 29     def conjugate(self, *args, **kwargs): # real signature unknown
 30         """ 返回该复数的共轭复数 """
 31         """ Returns self, the complex conjugate of any int. """
 32         pass
 33
 34     def __abs__(self):
 35         """ 返回绝对值 """
 36         """ x.__abs__() <==> abs(x) """
 37         pass
 38
 39     def __add__(self, y):
 40         """ x.__add__(y) <==> x+y """
 41         pass
 42
 43     def __and__(self, y):
 44         """ x.__and__(y) <==> x&y """
 45         pass
 46
 47     def __cmp__(self, y):
 48         """ 比较两个数大小 """
 49         """ x.__cmp__(y) <==> cmp(x,y) """
 50         pass
 51
 52     def __coerce__(self, y):
 53         """ 强制生成一个元组 """
 54         """ x.__coerce__(y) <==> coerce(x, y) """
 55         pass
 56
 57     def __divmod__(self, y):
 58         """ 相除，得到商和余数组成的元组 """
 59         """ x.__divmod__(y) <==> divmod(x, y) """
 60         pass
 61
 62     def __div__(self, y):
 63         """ x.__div__(y) <==> x/y """
 64         pass
 65
 66     def __float__(self):
 67         """ 转换为浮点类型 """
 68         """ x.__float__() <==> float(x) """
 69         pass
 70
 71     def __floordiv__(self, y):
 72         """ x.__floordiv__(y) <==> x//y """
 73         pass
 74
 75     def __format__(self, *args, **kwargs): # real signature unknown
 76         pass
 77
 78     def __getattribute__(self, name):
 79         """ x.__getattribute__('name') <==> x.name """
 80         pass
 81
 82     def __getnewargs__(self, *args, **kwargs): # real signature unknown
 83         """ 内部调用 __new__方法或创建对象时传入参数使用 """
 84         pass
 85
 86     def __hash__(self):
 87         """如果对象object为哈希表类型，返回对象object的哈希值。哈希值为整数。在字典查找中，哈希值用于快速比较字典的键。两个数值如果相等，则哈希值也相等。"""
 88         """ x.__hash__() <==> hash(x) """
 89         pass
 90
 91     def __hex__(self):
 92         """ 返回当前数的 十六进制 表示 """
 93         """ x.__hex__() <==> hex(x) """
 94         pass
 95
 96     def __index__(self):
 97         """ 用于切片，数字无意义 """
 98         """ x[y:z] <==> x[y.__index__():z.__index__()] """
 99         pass
100
101     def __init__(self, x, base=10): # known special case of int.__init__
102         """ 构造方法，执行 x = 123 或 x = int(10) 时，自动调用，暂时忽略 """
103         """
104         int(x=0) -> int or long
105         int(x, base=10) -> int or long
106
107         Convert a number or string to an integer, or return 0 if no arguments
108         are given.  If x is floating point, the conversion truncates towards zero.
109         If x is outside the integer range, the function returns a long instead.
110
111         If x is not a number or if base is given, then x must be a string or
112         Unicode object representing an integer literal in the given base.  The
113         literal can be preceded by '+' or '-' and be surrounded by whitespace.
114         The base defaults to 10.  Valid bases are 0 and 2-36.  Base 0 means to
115         interpret the base from the string as an integer literal.
116         >>> int('0b100', base=0)
117         # (copied from class doc)
118         """
119         pass
120
121     def __int__(self):
122         """ 转换为整数 """
123         """ x.__int__() <==> int(x) """
124         pass
125
126     def __invert__(self):
127         """ x.__invert__() <==> ~x """
128         pass
129
130     def __long__(self):
131         """ 转换为长整数 """
132         """ x.__long__() <==> long(x) """
133         pass
134
135     def __lshift__(self, y):
136         """ x.__lshift__(y) <==> x<<y """
137         pass
138
139     def __mod__(self, y):
140         """ x.__mod__(y) <==> x%y """
141         pass
142
143     def __mul__(self, y):
144         """ x.__mul__(y) <==> x*y """
145         pass
146
147     def __neg__(self):
148         """ x.__neg__() <==> -x """
149         pass
150
151     @staticmethod # known case of __new__
152     def __new__(S, *more):
153         """ T.__new__(S, ...) -> a new object with type S, a subtype of T """
154         pass
155
156     def __nonzero__(self):
157         """ x.__nonzero__() <==> x != 0 """
158         pass
159
160     def __oct__(self):
161         """ 返回改值的 八进制 表示 """
162         """ x.__oct__() <==> oct(x) """
163         pass
164
165     def __or__(self, y):
166         """ x.__or__(y) <==> x|y """
167         pass
168
169     def __pos__(self):
170         """ x.__pos__() <==> +x """
171         pass
172
173     def __pow__(self, y, z=None):
174         """ 幂，次方 """
175         """ x.__pow__(y[, z]) <==> pow(x, y[, z]) """
176         pass
177
178     def __radd__(self, y):
179         """ x.__radd__(y) <==> y+x """
180         pass
181
182     def __rand__(self, y):
183         """ x.__rand__(y) <==> y&x """
184         pass
185
186     def __rdivmod__(self, y):
187         """ x.__rdivmod__(y) <==> divmod(y, x) """
188         pass
189
190     def __rdiv__(self, y):
191         """ x.__rdiv__(y) <==> y/x """
192         pass
193
194     def __repr__(self):
195         """转化为解释器可读取的形式 """
196         """ x.__repr__() <==> repr(x) """
197         pass
198
199     def __str__(self):
200         """转换为人阅读的形式，如果没有适于人阅读的解释形式的话，则返回解释器课阅读的形式"""
201         """ x.__str__() <==> str(x) """
202         pass
203
204     def __rfloordiv__(self, y):
205         """ x.__rfloordiv__(y) <==> y//x """
206         pass
207
208     def __rlshift__(self, y):
209         """ x.__rlshift__(y) <==> y<<x """
210         pass
211
212     def __rmod__(self, y):
213         """ x.__rmod__(y) <==> y%x """
214         pass
215
216     def __rmul__(self, y):
217         """ x.__rmul__(y) <==> y*x """
218         pass
219
220     def __ror__(self, y):
221         """ x.__ror__(y) <==> y|x """
222         pass
223
224     def __rpow__(self, x, z=None):
225         """ y.__rpow__(x[, z]) <==> pow(x, y[, z]) """
226         pass
227
228     def __rrshift__(self, y):
229         """ x.__rrshift__(y) <==> y>>x """
230         pass
231
232     def __rshift__(self, y):
233         """ x.__rshift__(y) <==> x>>y """
234         pass
235
236     def __rsub__(self, y):
237         """ x.__rsub__(y) <==> y-x """
238         pass
239
240     def __rtruediv__(self, y):
241         """ x.__rtruediv__(y) <==> y/x """
242         pass
243
244     def __rxor__(self, y):
245         """ x.__rxor__(y) <==> y^x """
246         pass
247
248     def __sub__(self, y):
249         """ x.__sub__(y) <==> x-y """
250         pass
251
252     def __truediv__(self, y):
253         """ x.__truediv__(y) <==> x/y """
254         pass
255
256     def __trunc__(self, *args, **kwargs):
257         """ 返回数值被截取为整形的值，在整形中无意义 """
258         pass
259
260     def __xor__(self, y):
261         """ x.__xor__(y) <==> x^y """
262         pass
263
264     denominator = property(lambda self: object(), lambda self, v: None, lambda self: None)  # default
265     """ 分母 = 1 """
266     """the denominator of a rational number in lowest terms"""
267
268     imag = property(lambda self: object(), lambda self, v: None, lambda self: None)  # default
269     """ 虚数，无意义 """
270     """the imaginary part of a complex number"""
271
272     numerator = property(lambda self: object(), lambda self, v: None, lambda self: None)  # default
273     """ 分子 = 数字大小 """
274     """the numerator of a rational number in lowest terms"""
275
276     real = property(lambda self: object(), lambda self, v: None, lambda self: None)  # default
277     """ 实属，无意义 """
278     """the real part of a complex number"""
279
280 int

  1 >>> names
  2 ['bolen', 'yy', 'kity', 'jack', 'lily']
  3 >>> names[0] #元素从0开始排序
  4 'bolen'
  5 >>> names[0:2] #包前不包后
  6 ['bolen', 'yy']
  7 >>> names[0:-1] #最后一个元素是-1
  8 ['bolen', 'yy', 'kity', 'jack']
  9 >>> names[:-1] #等同于0：-1，:前不写的话默认是0，:后面不写默认是到-1
 10 ['bolen', 'yy', 'kity', 'jack']
 11
 12 >>> names[2:-1]
 13 ['kity', 'jack']
 14 >>> names[:-1]
 15 ['bolen', 'yy', 'kity', 'jack']
 16
 17 >>> names[2:] #如果想取到最后一个元素，就不写-1.
 18 ['kity', 'jack', 'lily']
 19 >>> names[0:]
 20 ['bolen', 'yy', 'kity', 'jack', 'lily']
 21
 22 >>> names[:]
 23 ['bolen', 'yy', 'kity', 'jack', 'lily']
 24 >>> names[::2] # :2代表每隔一个元素取一个
 25 ['bolen', 'kity', 'lily']
 26 >>>

  1  names
  2 ['bolen', 'yy', 'kity', 'max', 'hack']
  3 names.append('god')
  4 names
  5 ['bolen', 'yy', 'kity', 'max', 'hack', 'god']

  1 >>> names.insert(2,'插入') #从kity前面插进去~ insert 方法需要指定插入位置
  2 >>> names
  3 ['bolen', 'yy', '插入', 'kity', 'max', 'hack', 'god']
  4 nums=[6,7,8,9]
  5 >>> names+nums
  6 ['bolen', 'yy', '换个姿势', 'kity', 'max', 'hack', 'god', 6, 7, 8, 9]
  7 >>> names
  8 ['bolen', 'yy', '换个姿势', 'kity', 'max', 'hack', 'god']
  9 >>> names.extend(nums)
 10 >>> names
 11 ['bolen', 'yy', '换个姿势', 'kity', 'max', 'hack', 'god', 6, 7, 8, 9]

  1 >>> del names[2] #只能指定元素下标
  2 >>> names
  3 ['bolen', 'yy', 'kity', 'max', 'hack', 'god']
  4 >>> names=['bolen', 'yy', '换个姿势', 'kity', 'max', 'hack', 'god']
  5 >>> names.pop() #默认弹出最后一个元素，pop后可加下标
  6 god
  7 >>> names.remove('max') #只能指定具体的元素，不能指定下标。
  8 >>> names
  9 ['bolen', 'yy', '换个姿势', 'kity', 'hack']

  1 >>> names.sort()#Python3.0中不能对不同数据类型混合排序了
  2 Traceback (most recent call last):
  3   File "<pyshell#43>", line 1, in <module>
  4     names.sort()
  5 TypeError: unorderable types: int() < str()
  6
  7 >>> nums
  8 [6, 7, 8, 9, 1, 2, 4, 6, 9]
  9 >>> nums.sort()
 10 >>> nums
 11 [1, 2, 4, 6, 6, 7, 8, 9, 9]
 12
 13 >>> names
 14 ['bolen', 'bolen', 'god', 'hack', 'kity', 'max', 'yy', '换个姿势']
 15 >>> names.append('allen')
 16 >>> names
 17 ['bolen', 'bolen', 'god', 'hack', 'kity', 'max', 'yy', '换个姿势', 'allen']
 18 >>> names.sort()
 19 >>> names
 20 ['allen', 'bolen', 'bolen', 'god', 'hack', 'kity', 'max', 'yy', '换个姿势']
 21 ---------------------------------------------------------
 22 **reverse
 23 >>> names.reverse()
 24 >>> names
 25 ['换个姿势', 'yy', 'max', 'kity', 'hack', 'god', 'bolen', 'bolen', 'allen']
 26 >>> nums.reverse()
 27 >>> nums
 28 [9, 9, 8, 7, 6, 6, 4, 2, 1]

  1 #便捷的为多变量赋值
  2 >>> n=(1,2,3)
  3 >>> x,y,z=n
  4 >>> x
  5 1
  6 >>> y
  7 2
  8 >>> z
  9 3
 10 #但实测列表也是可以这么赋值的
 11  >>> (MONDAY, TUESDAY, WEDNESDAY, THURSDAY, FRIDAY, SATURDAY, SUNDAY) = range(7)
 12 >>> MONDAY
 13 0
 14 >>> [MONDAY, TUESDAY, WEDNESDAY, THURSDAY, FRIDAY, SATURDAY, SUNDAY] = range(7)
 15 >>> TUESDAY

name.capitalize()  #首字母大写
name.casefold()   #大写全部变小写
>>> name='bolen'
>>> name.capitalize()
'Bolen'
>>> name.casefold()
'bolen'
name.center() #定义宽度和添加的字符
>>> name.center(50,'=')
'======================bolen======================='
name.count('bo') 统计 bo出现次数
name.encode()  将字符串编码成bytes格式
>>> new=name.encode()
>>> type(new)
<class 'bytes'>name.endswith("en")  判断字符串是否以 en结尾>>> 'Bolen\tZhang'.expandtabs(4)
'Bolen   Zhang将\t转换成多长的空格name.find('A')  查找A,找到返回其索引， 找不到返回-1format :>>> msg = "my name is {}, and age is {}">>> msg.format("bolen",32)'my name is bolen, and age is 32'>>> msg = "my name is {1}, and age is {0}">>> msg.format("bolen",32)'my name is 32, and age is bolen'>>> msg = "my name is {name}, and age is {age}">>> msg.format(age=32,name="bolen")'my name is ale, and age is 22'
format_map>>> msg.format_map({'name':'jack','age':22})'my name is jack, and age is 22'#输入字典msg.index('a')  返回a所在字符串的索引
>>> 'adf9'.isalnum()
True
>>> '9'.isalnum()
True
>>>'9'.isdigit() 是否整数
name.isnumeric
name.isprintable
name.isspace
name.istitle
>>> name.title()
'Bo Le Na'
>>> name1=name.title()
>>> name1
'Bo Le Na'
>>> name1.istitle()
True
name.isupper"|".join(['alex','jack','rain'])
'alex|jack|rain'maketrans>>> intab = "aeiou"  #This is the string having actual characters. >>> outtab = "12345" #This is the string having corresponding mapping character>>> trantab = str.maketrans(intab, outtab)#先自己制作转换关系表。>>> str = "this is string example">>> str.translate(trantab)'th3s 3s str3ng 2x1mpl2'msg.partition('is')   输出 ('my name ', 'is', ' {name}, and age is {age}')>>> "alex li, chinese name is lijie".replace("li","LI",1)'alex LI, chinese name is lijie'msg.swapcase 大小写互换>>> msg.zfill(40)> """方法返回指定长度的字符串，原字符串右对齐，前面填充0。"""
'00000my name is {name}, and age is {age}'>>> 'Hello world'.ljust(20,"-")
'Hello world---------'
>>> 'Hello world'.rjust(20,"*")
'*********Hello world'name_define='tWst@123'
>>> name_define.isidentifier()
False
#检测一段字符串可否被当作标志符，即是否符合变量命名规则def strip(self, chars=None):""" 移除两端空白 """
>>> name=' bole '
>>> name
' bole '
>>> name.strip()
'bole'

#定义
>>> userdb
{'user002': 'kobe', 'user003': 'kity', 'user001': 'bolen', 'user004': 'tom'}#增加>>> userdb['user005']='baby'
>>> userdb
{'user002': 'kobe', 'user003': 'kity', 'user001': 'bolen', 'user004': 'tom', 'user005': 'baby'}#修改>>> userdb['user005']='angela'
>>> userdb
{'user002': 'kobe', 'user003': 'kity', 'user001': 'bolen', 'user004': 'tom', 'user005': 'angela'}#删除字典的删除有三种方式：pop,del和popitem,其中前两种较常用。最后一种由于是随机删除元素的，一般来说并没什么卵用。>>> userdb.pop('user003')
'kity'
>>> userdb
{'user002': 'kobe', 'user001': 'bolen', 'user004': 'tom', 'user005': 'angela'}
>>> del userdb['user004']
>>> userdb
{'user002': 'kobe', 'user001': 'bolen', 'user005': 'angela'}
>>> userdb.popitem()
('user002', 'kobe')#查找
>>> 'user002' in userdb #标准用法
True
>>> userdb.get('user004')
'tom'
>>> userdb['user004']
'tom'
>>> userdb.get('user005')#注意get不到key就没返回值，而下面的取法，get不到key就会报错。
>>> userdb['user005']
Traceback (most recent call last):File "<pyshell#165>", line 1, in <module>userdb['user005']
KeyError: 'user005'
#多级嵌套av_catalog = {"欧美":{"www.youporn.com": ["很多免费的,世界最大的","质量一般"],"www.pornhub.com": ["很多免费的,也很大","质量比yourporn高点"],"letmedothistoyou.com": ["多是自拍,高质量图片很多","资源不多,更新慢"],"x-art.com":["质量很高,真的很高","全部收费,屌比请绕过"]},"日韩":{"tokyo-hot":["质量怎样不清楚,个人已经不喜欢日韩范了","听说是收费的"]},"大陆":{"1024":["全部免费,真好,好人一生平安","服务器在国外,慢"]}
}av_catalog["大陆"]["1024"][1] += ",可以用爬虫爬下来"
print(av_catalog["大陆"]["1024"])
#ouput
['全部免费,真好,好人一生平安', '服务器在国外,慢,可以用爬虫爬下来']
其他#获取keys
>>> userdb.keys()
dict_keys(['user002', 'user003', 'user001', 'user004'])
#获取values
>>> userdb.values()
dict_values(['kobe', 'kity', 'bolen', 'tom'])
#设置默认值，注意此方法是新加，不可修改。
>>> userdb
{'user002': 'kobe', 'user003': 'kity', 'user001': 'bolen', 'user006': '希特勒', 'user004': 'tom'}
>>> userdb.setdefault('user006','bolenzhang')
'希特勒'>>> userdb.setdefault('user006','bolenzhang')
'希特勒'
>>> userdb
{'user002': 'kobe', 'user003': 'kity', 'user001': 'bolen', 'user006': '希特勒', 'user004': 'tom'}
>>> userdb.setdefault('user001','bolenzhang')
'bolen'
>>> userdb
{'user002': 'kobe', 'user003': 'kity', 'user001': 'bolen', 'user006': '希特勒', 'user004': 'tom'}#update
>>> newb={'user110':'michal',9:6,1:1}
>>> newb
{9: 6, 'user110': 'michal', 1: 1}
>>> userdb.update(newb)
>>> userdb
{1: 1, 'user001': 'bolen', 'user003': 'kity', 'user006': 'xitele', 'user004': 'tom', 9: 6, 'user002': 'kobe', 'user110': 'michal'}
#获取items
>>> userdb.items()
dict_items([(1, 1), ('user001', 'bolen'), ('user003', 'kity'), ('user006', 'xitele'), ('user004', 'tom'), (9, 6), ('user002', 'kobe'), ('user110', 'michal')])
#通过一个列表生成默认dict,有个没办法解释的坑，少用吧这个
>>> dict.fromkeys([1,2,3],'test')
{1: 'test', 2: 'test', 3: 'test'}#字典的循环#方法1
>>> for key in userdb:print(userdb[key])1
bolen
kity
xitele
tom
6
kobe
michal
>>> userdb
{1: 1, 'user001': 'bolen', 'user003': 'kity', 'user006': 'xitele', 'user004': 'tom', 9: 6, 'user002': 'kobe', 'user110': 'michal'}
#方法2
>>> for k,v in userdb.items():print (k,v)1 1
user001 bolen
user003 kity
user006 xitele
user004 tom
9 6
user002 kobe
user110 michal

# 去重
>>> b=[1,1,2,3,4,4]
>>> s = set(b)
>>> s
{1, 2, 3, 4}
s = set([3,5,9,10])      #创建一个数值集合  t = set("Hello")         #创建一个唯一字符的集合  a = t | s          # t 和 s的并集  b = t & s          # t 和 s的交集  c = t – s          # 求差集（项在t中，但不在s中）  d = t ^ s          # 对称差集（项在t或s中，但不会同时出现在二者中）  基本操作：t.add('x')            # 添加一项  s.update([10,37,42])  # 在s中添加多项  使用remove()可以删除一项：t.remove('H')len(s)
set 的长度x in s
测试 x 是否是 s 的成员x not in s
测试 x 是否不是 s 的成员s.issubset(t)
s <= t
测试是否 s 中的每一个元素都在 t 中s.issuperset(t)
s >= t
测试是否 t 中的每一个元素都在 s 中s.union(t)
s | t
返回一个新的 set 包含 s 和 t 中的每一个元素s.intersection(t)
s & t
返回一个新的 set 包含 s 和 t 中的公共元素s.difference(t)
s - t
返回一个新的 set 包含 s 中有但是 t 中没有的元素
se.difference_update(be)#找se中存在，be中不存在,并更新se.

se.discard()
se.remove()#同上，但是没有会报错
se={11,22,33}
be={22,95}
#对称差集(互为差集的合计)
se.symmetric_difference(be)
se.symmetric_difference_update(be)

#交集
ret=se.intersection(be)
ret=se.intersection_update(be)
#有交集是false，没交集True.
se.isdisjoint(be)
#父集、子集
se.issubset(be)
se.issuperset(be)
#并集
ret=se.union(be)

se.update(be)#把se更新了
se.update([444,555,666])

#pop可以拿到移除元素的返回值（集合是无序的，不一定pop谁）
ret=se.pop()

s.symmetric_difference(t)
s ^ t
返回一个新的 set 包含 s 和 t 中不重复的元素
s.copy()
返回 set “s”的一个浅复制