py3 字符串 字典 列表 元组 集合

目录

字符串

列表

元组

字典

集合

Python 字符串

字符串是 Python 中最常用的数据类型。我们可以使用引号(‘或")来创建字符串。

源码如下：

class str(basestring):
    """
    str(object=‘‘) -> string

    Return a nice string representation of the object.
    If the argument is a string, the return value is the same object.
    """
    def capitalize(self):
        """ 首字母变大写 """
        """
        S.capitalize() -> string

        Return a copy of the string S with only its first character
        capitalized.
        """
        return ""

    def center(self, width, fillchar=None):
        """ 内容居中，width：总长度；fillchar：空白处填充内容，默认无 """
        """
        S.center(width[, fillchar]) -> string

        Return S centered in a string of length width. Padding is
        done using the specified fill character (default is a space)
        """
        return ""

    def count(self, sub, start=None, end=None):
        """ 子序列个数 """
        """
        S.count(sub[, start[, end]]) -> int

        Return the number of non-overlapping occurrences of substring sub in
        string S[start:end].  Optional arguments start and end are interpreted
        as in slice notation.
        """
        return 0

    def decode(self, encoding=None, errors=None):
        """ 解码 """
        """
        S.decode([encoding[,errors]]) -> object

        Decodes S using the codec registered for encoding. encoding defaults
        to the default encoding. errors may be given to set a different error
        handling scheme. Default is ‘strict‘ meaning that encoding errors raise
        a UnicodeDecodeError. Other possible values are ‘ignore‘ and ‘replace‘
        as well as any other name registered with codecs.register_error that is
        able to handle UnicodeDecodeErrors.
        """
        return object()

    def encode(self, encoding=None, errors=None):
        """ 编码，针对unicode """
        """
        S.encode([encoding[,errors]]) -> object

        Encodes S using the codec registered for encoding. encoding defaults
        to the default encoding. errors may be given to set a different error
        handling scheme. Default is ‘strict‘ meaning that encoding errors raise
        a UnicodeEncodeError. Other possible values are ‘ignore‘, ‘replace‘ and
        ‘xmlcharrefreplace‘ as well as any other name registered with
        codecs.register_error that is able to handle UnicodeEncodeErrors.
        """
        return object()

    def endswith(self, suffix, start=None, end=None):
        """ 是否以 xxx 结束 """
        """
        S.endswith(suffix[, start[, end]]) -> bool

        Return True if S ends with the specified suffix, False otherwise.
        With optional start, test S beginning at that position.
        With optional end, stop comparing S at that position.
        suffix can also be a tuple of strings to try.
        """
        return False

    def expandtabs(self, tabsize=None):
        """ 将tab转换成空格，默认一个tab转换成8个空格 """
        """
        S.expandtabs([tabsize]) -> string

        Return a copy of S where all tab characters are expanded using spaces.
        If tabsize is not given, a tab size of 8 characters is assumed.
        """
        return ""

    def find(self, sub, start=None, end=None):
        """ 寻找子序列位置，如果没找到，返回 -1 """
        """
        S.find(sub [,start [,end]]) -> int

        Return the lowest index in S where substring sub is found,
        such that sub is contained within S[start:end].  Optional
        arguments start and end are interpreted as in slice notation.

        Return -1 on failure.
        """
        return 0

    def format(*args, **kwargs): # known special case of str.format
        """ 字符串格式化，动态参数，将函数式编程时细说 """
        """
        S.format(*args, **kwargs) -> string

        Return a formatted version of S, using substitutions from args and kwargs.
        The substitutions are identified by braces (‘{‘ and ‘}‘).
        """
        pass

    def index(self, sub, start=None, end=None):
        """ 子序列位置，如果没找到，报错 """
        S.index(sub [,start [,end]]) -> int

        Like S.find() but raise ValueError when the substring is not found.
        """
        return 0

    def isalnum(self):
        """ 是否是字母和数字 """
        """
        S.isalnum() -> bool

        Return True if all characters in S are alphanumeric
        and there is at least one character in S, False otherwise.
        """
        return False

    def isalpha(self):
        """ 是否是字母 """
        """
        S.isalpha() -> bool

        Return True if all characters in S are alphabetic
        and there is at least one character in S, False otherwise.
        """
        return False

    def isdigit(self):
        """ 是否是数字 """
        """
        S.isdigit() -> bool

        Return True if all characters in S are digits
        and there is at least one character in S, False otherwise.
        """
        return False

    def islower(self):
        """ 是否小写 """
        """
        S.islower() -> bool

        Return True if all cased characters in S are lowercase and there is
        at least one cased character in S, False otherwise.
        """
        return False

    def isspace(self):
        """
        S.isspace() -> bool

        Return True if all characters in S are whitespace
        and there is at least one character in S, False otherwise.
        """
        return False

    def istitle(self):
        """
        S.istitle() -> bool

        Return True if S is a titlecased string and there is at least one
        character in S, i.e. uppercase characters may only follow uncased
        characters and lowercase characters only cased ones. Return False
        otherwise.
        """
        return False

    def isupper(self):
        """
        S.isupper() -> bool

        Return True if all cased characters in S are uppercase and there is
        at least one cased character in S, False otherwise.
        """
        return False

    def join(self, iterable):
        """ 连接 """
        """
        S.join(iterable) -> string

        Return a string which is the concatenation of the strings in the
        iterable.  The separator between elements is S.
        """
        return ""

    def ljust(self, width, fillchar=None):
        """ 内容左对齐，右侧填充 """
        """
        S.ljust(width[, fillchar]) -> string

        Return S left-justified in a string of length width. Padding is
        done using the specified fill character (default is a space).
        """
        return ""

    def lower(self):
        """ 变小写 """
        """
        S.lower() -> string

        Return a copy of the string S converted to lowercase.
        """
        return ""

    def lstrip(self, chars=None):
        """ 移除左侧空白 """
        """
        S.lstrip([chars]) -> string or unicode

        Return a copy of the string S with leading whitespace removed.
        If chars is given and not None, remove characters in chars instead.
        If chars is unicode, S will be converted to unicode before stripping
        """
        return ""

    def partition(self, sep):
        """ 分割，前，中，后三部分 """
        """
        S.partition(sep) -> (head, sep, tail)

        Search for the separator sep in S, and return the part before it,
        the separator itself, and the part after it.  If the separator is not
        found, return S and two empty strings.
        """
        pass

    def replace(self, old, new, count=None):
        """ 替换 """
        """
        S.replace(old, new[, count]) -> string

        Return a copy of string S with all occurrences of substring
        old replaced by new.  If the optional argument count is
        given, only the first count occurrences are replaced.
        """
        return ""

    def rfind(self, sub, start=None, end=None):
        """
        S.rfind(sub [,start [,end]]) -> int

        Return the highest index in S where substring sub is found,
        such that sub is contained within S[start:end].  Optional
        arguments start and end are interpreted as in slice notation.

        Return -1 on failure.
        """
        return 0

    def rindex(self, sub, start=None, end=None):
        """
        S.rindex(sub [,start [,end]]) -> int

        Like S.rfind() but raise ValueError when the substring is not found.
        """
        return 0

    def rjust(self, width, fillchar=None):
        """
        S.rjust(width[, fillchar]) -> string

        Return S right-justified in a string of length width. Padding is
        done using the specified fill character (default is a space)
        """
        return ""

    def rpartition(self, sep):
        """
        S.rpartition(sep) -> (head, sep, tail)

        Search for the separator sep in S, starting at the end of S, and return
        the part before it, the separator itself, and the part after it.  If the
        separator is not found, return two empty strings and S.
        """
        pass

    def rsplit(self, sep=None, maxsplit=None):
        """
        S.rsplit([sep [,maxsplit]]) -> list of strings

        Return a list of the words in the string S, using sep as the
        delimiter string, starting at the end of the string and working
        to the front.  If maxsplit is given, at most maxsplit splits are
        done. If sep is not specified or is None, any whitespace string
        is a separator.
        """
        return []

    def rstrip(self, chars=None):
        """
        S.rstrip([chars]) -> string or unicode

        Return a copy of the string S with trailing whitespace removed.
        If chars is given and not None, remove characters in chars instead.
        If chars is unicode, S will be converted to unicode before stripping
        """
        return ""

    def split(self, sep=None, maxsplit=None):
        """ 分割， maxsplit最多分割几次 """
        """
        S.split([sep [,maxsplit]]) -> list of strings

        Return a list of the words in the string S, using sep as the
        delimiter string.  If maxsplit is given, at most maxsplit
        splits are done. If sep is not specified or is None, any
        whitespace string is a separator and empty strings are removed
        from the result.
        """
        return []

    def splitlines(self, keepends=False):
        """ 根据换行分割 """
        """
        S.splitlines(keepends=False) -> list of strings

        Return a list of the lines in S, breaking at line boundaries.
        Line breaks are not included in the resulting list unless keepends
        is given and true.
        """
        return []

    def startswith(self, prefix, start=None, end=None):
        """ 是否起始 """
        """
        S.startswith(prefix[, start[, end]]) -> bool

        Return True if S starts with the specified prefix, False otherwise.
        With optional start, test S beginning at that position.
        With optional end, stop comparing S at that position.
        prefix can also be a tuple of strings to try.
        """
        return False

    def strip(self, chars=None):
        """ 移除两段空白 """
        """
        S.strip([chars]) -> string or unicode

        Return a copy of the string S with leading and trailing
        whitespace removed.
        If chars is given and not None, remove characters in chars instead.
        If chars is unicode, S will be converted to unicode before stripping
        """
        return ""

    def swapcase(self):
        """ 大写变小写，小写变大写 """
        """
        S.swapcase() -> string

        Return a copy of the string S with uppercase characters
        converted to lowercase and vice versa.
        """
        return ""

    def title(self):
        """
        S.title() -> string

        Return a titlecased version of S, i.e. words start with uppercase
        characters, all remaining cased characters have lowercase.
        """
        return ""

    def translate(self, table, deletechars=None):
        """
        转换，需要先做一个对应表，最后一个表示删除字符集合
        intab = "aeiou"
        outtab = "12345"
        trantab = maketrans(intab, outtab)
        str = "this is string example....wow!!!"
        print str.translate(trantab, ‘xm‘)
        """

        """
        S.translate(table [,deletechars]) -> string

        Return a copy of the string S, where all characters occurring
        in the optional argument deletechars are removed, and the
        remaining characters have been mapped through the given
        translation table, which must be a string of length 256 or None.
        If the table argument is None, no translation is applied and
        the operation simply removes the characters in deletechars.
        """
        return ""

    def upper(self):
        """
        S.upper() -> string

        Return a copy of the string S converted to uppercase.
        """
        return ""

    def zfill(self, width):
        """方法返回指定长度的字符串，原字符串右对齐，前面填充0。"""
        """
        S.zfill(width) -> string

        Pad a numeric string S with zeros on the left, to fill a field
        of the specified width.  The string S is never truncated.
        """
        return ""

    def _formatter_field_name_split(self, *args, **kwargs): # real signature unknown
        pass

    def _formatter_parser(self, *args, **kwargs): # real signature unknown
        pass

    def __add__(self, y):
        """ x.__add__(y) <==> x+y """
        pass

    def __contains__(self, y):
        """ x.__contains__(y) <==> y in x """
        pass

    def __eq__(self, y):
        """ x.__eq__(y) <==> x==y """
        pass

    def __format__(self, format_spec):
        """
        S.__format__(format_spec) -> string

        Return a formatted version of S as described by format_spec.
        """
        return ""

    def __getattribute__(self, name):
        """ x.__getattribute__(‘name‘) <==> x.name """
        pass

    def __getitem__(self, y):
        """ x.__getitem__(y) <==> x[y] """
        pass

    def __getnewargs__(self, *args, **kwargs): # real signature unknown
        pass

    def __getslice__(self, i, j):
        """
        x.__getslice__(i, j) <==> x[i:j]

                   Use of negative indices is not supported.
        """
        pass

    def __ge__(self, y):
        """ x.__ge__(y) <==> x>=y """
        pass

    def __gt__(self, y):
        """ x.__gt__(y) <==> x>y """
        pass

    def __hash__(self):
        """ x.__hash__() <==> hash(x) """
        pass

    def __init__(self, string=‘‘): # known special case of str.__init__
        """
        str(object=‘‘) -> string

        Return a nice string representation of the object.
        If the argument is a string, the return value is the same object.
        # (copied from class doc)
        """
        pass

    def __len__(self):
        """ x.__len__() <==> len(x) """
        pass

    def __le__(self, y):
        """ x.__le__(y) <==> x<=y """
        pass

    def __lt__(self, y):
        """ x.__lt__(y) <==> x<y """
        pass

    def __mod__(self, y):
        """ x.__mod__(y) <==> x%y """
        pass

    def __mul__(self, n):
        """ x.__mul__(n) <==> x*n """
        pass

    @staticmethod # known case of __new__
    def __new__(S, *more):
        """ T.__new__(S, ...) -> a new object with type S, a subtype of T """
        pass

    def __ne__(self, y):
        """ x.__ne__(y) <==> x!=y """
        pass

    def __repr__(self):
        """ x.__repr__() <==> repr(x) """
        pass

    def __rmod__(self, y):
        """ x.__rmod__(y) <==> y%x """
        pass

    def __rmul__(self, n):
        """ x.__rmul__(n) <==> n*x """
        pass

    def __sizeof__(self):
        """ S.__sizeof__() -> size of S in memory, in bytes """
        pass

    def __str__(self):
        """ x.__str__() <==> str(x) """
        pass

str

访问字符串中的值（切片）

Python不支持单字符类型（char），单字符在 Python 中也是作为一个字符串使用。

Python访问子字符串，可以使用方括号来截取字符串，如下实例：（顾头不顾尾）

var1 = ‘Hello World!‘
var2 = "Python Runoob"
print "var1[0]: ", var1[0]
print "var2[1:5]: ", var2[1:5]
# var1[0]:  H
# var2[1:5]:  ytho

转义字符

在需要在字符中使用特殊字符时，python用反斜杠(\)转义字符。如下表：

转义字符 描述
\(在行尾时) 续行符
\\ 反斜杠符号
\‘ 单引号
\" 双引号
\a 响铃
\b 退格(Backspace)
\e 转义
\000 空
\n 换行
\v 纵向制表符
\t 横向制表符
\r 回车
\f 换页
\oyy 八进制数，yy代表的字符，例如：\o12代表换行
\xyy 十六进制数，yy代表的字符，例如：\x0a代表换行
\other 其它的字符以普通格式输出

字符串运算符

下表实例变量 a 值为字符串 "Hello"，b 变量值为 "Python"：

操作符 描述 实例
+ 字符串连接
>>>a + b ‘HelloPython‘
* 重复输出字符串
>>>a * 2 ‘HelloHello‘
[] 通过索引获取字符串中字符
>>>a[1] ‘e‘
[ : ] 截取字符串中的一部分
>>>a[1:4] ‘ell‘
in 成员运算符 - 如果字符串中包含给定的字符返回 True
>>>"H" in a True
not in 成员运算符 - 如果字符串中不包含给定的字符返回 True
>>>"M" not in a True
r/R 原始字符串 - 原始字符串：所有的字符串都是直接按照字面的意思来使用，没有转义特殊或不能打印的字符。 原始字符串除在字符串的第一个引号前加上字母"r"（可以大小写）以外，与普通字符串有着几乎完全相同的语法。
>>>print r‘\n‘ \n >>> print R‘\n‘ \n
% 格式字符串 请看下一点

格式化字符串

推荐使用第二种

name = input("name:")
age = input("age:")
job = input("job:")
salary = input("salary:")
print(type(job))
print(type(int(age)))  # 爱人割让
info = ‘‘‘
-------info of %s------
name:%s
age:%s
job:%s
salary:%s
‘‘‘ % (name, name, age, job, salary)
info2 = ‘‘‘
-------info of {_name}------
name:{_name}
age:{_age}
job:{_job}
salary:{_salary}
‘‘‘.format(_name=name,
           _age=age,
           _job=job,
           _salary=salary)
info3 = ‘‘‘
-------info of {0}------
name:{0}
age:{1}
job:{2}
salary:{3}
‘‘‘.format(name, age, job, salary)
print(info2)

列表

列表内置函数

class list(object):
    """
    list() -> new empty list
    list(iterable) -> new list initialized from iterable‘s items
    """
    def append(self, p_object): # real signature unknown; restored from __doc__
        """ L.append(object) -- append object to end """
        pass

    def count(self, value): # real signature unknown; restored from __doc__
        """ L.count(value) -> integer -- return number of occurrences of value """
        return 0

    def extend(self, iterable): # real signature unknown; restored from __doc__
        """ L.extend(iterable) -- extend list by appending elements from the iterable """
        pass

    def index(self, value, start=None, stop=None): # real signature unknown; restored from __doc__
        """
        L.index(value, [start, [stop]]) -> integer -- return first index of value.
        Raises ValueError if the value is not present.
        """
        return 0

    def insert(self, index, p_object): # real signature unknown; restored from __doc__
        """ L.insert(index, object) -- insert object before index """
        pass

    def pop(self, index=None): # real signature unknown; restored from __doc__
        """
        L.pop([index]) -> item -- remove and return item at index (default last).
        Raises IndexError if list is empty or index is out of range.
        """
        pass

    def remove(self, value): # real signature unknown; restored from __doc__
        """
        L.remove(value) -- remove first occurrence of value.
        Raises ValueError if the value is not present.
        """
        pass

    def reverse(self): # real signature unknown; restored from __doc__
        """ L.reverse() -- reverse *IN PLACE* """
        pass

    def sort(self, cmp=None, key=None, reverse=False): # real signature unknown; restored from __doc__
        """
        L.sort(cmp=None, key=None, reverse=False) -- stable sort *IN PLACE*;
        cmp(x, y) -> -1, 0, 1
        """
        pass

    def __add__(self, y): # real signature unknown; restored from __doc__
        """ x.__add__(y) <==> x+y """
        pass

    def __contains__(self, y): # real signature unknown; restored from __doc__
        """ x.__contains__(y) <==> y in x """
        pass

    def __delitem__(self, y): # real signature unknown; restored from __doc__
        """ x.__delitem__(y) <==> del x[y] """
        pass

    def __delslice__(self, i, j): # real signature unknown; restored from __doc__
        """
        x.__delslice__(i, j) <==> del x[i:j]

                   Use of negative indices is not supported.
        """
        pass

    def __eq__(self, y): # real signature unknown; restored from __doc__
        """ x.__eq__(y) <==> x==y """
        pass

    def __getattribute__(self, name): # real signature unknown; restored from __doc__
        """ x.__getattribute__(‘name‘) <==> x.name """
        pass

    def __getitem__(self, y): # real signature unknown; restored from __doc__
        """ x.__getitem__(y) <==> x[y] """
        pass

    def __getslice__(self, i, j): # real signature unknown; restored from __doc__
        """
        x.__getslice__(i, j) <==> x[i:j]

                   Use of negative indices is not supported.
        """
        pass

    def __ge__(self, y): # real signature unknown; restored from __doc__
        """ x.__ge__(y) <==> x>=y """
        pass

    def __gt__(self, y): # real signature unknown; restored from __doc__
        """ x.__gt__(y) <==> x>y """
        pass

    def __iadd__(self, y): # real signature unknown; restored from __doc__
        """ x.__iadd__(y) <==> x+=y """
        pass

    def __imul__(self, y): # real signature unknown; restored from __doc__
        """ x.__imul__(y) <==> x*=y """
        pass

    def __init__(self, seq=()): # known special case of list.__init__
        """
        list() -> new empty list
        list(iterable) -> new list initialized from iterable‘s items
        # (copied from class doc)
        """
        pass

    def __iter__(self): # real signature unknown; restored from __doc__
        """ x.__iter__() <==> iter(x) """
        pass

    def __len__(self): # real signature unknown; restored from __doc__
        """ x.__len__() <==> len(x) """
        pass

    def __le__(self, y): # real signature unknown; restored from __doc__
        """ x.__le__(y) <==> x<=y """
        pass

    def __lt__(self, y): # real signature unknown; restored from __doc__
        """ x.__lt__(y) <==> x<y """
        pass

    def __mul__(self, n): # real signature unknown; restored from __doc__
        """ x.__mul__(n) <==> x*n """
        pass

    @staticmethod # known case of __new__
    def __new__(S, *more): # real signature unknown; restored from __doc__
        """ T.__new__(S, ...) -> a new object with type S, a subtype of T """
        pass

    def __ne__(self, y): # real signature unknown; restored from __doc__
        """ x.__ne__(y) <==> x!=y """
        pass

    def __repr__(self): # real signature unknown; restored from __doc__
        """ x.__repr__() <==> repr(x) """
        pass

    def __reversed__(self): # real signature unknown; restored from __doc__
        """ L.__reversed__() -- return a reverse iterator over the list """
        pass

    def __rmul__(self, n): # real signature unknown; restored from __doc__
        """ x.__rmul__(n) <==> n*x """
        pass

    def __setitem__(self, i, y): # real signature unknown; restored from __doc__
        """ x.__setitem__(i, y) <==> x[i]=y """
        pass

    def __setslice__(self, i, j, y): # real signature unknown; restored from __doc__
        """
        x.__setslice__(i, j, y) <==> x[i:j]=y

                   Use  of negative indices is not supported.
        """
        pass

    def __sizeof__(self): # real signature unknown; restored from __doc__
        """ L.__sizeof__() -- size of L in memory, in bytes """
        pass

    __hash__ = None

list

定义列表

Python已经内置确定序列的长度以及确定最大和最小的元素的方法。

列表是最常用的Python数据类型，它可以作为一个方括号内的逗号分隔值出现。

列表的数据项不需要具有相同的类型

创建一个列表，只要把逗号分隔的不同的数据项使用方括号括起来即可。如下所示：

names = [‘Alex‘,"Tenglan",‘Eric‘, 123]

通过下标访问列表中的元素，下标从0开始计数

>>> names[0]
‘Alex‘
>>> names[2]
‘Eric‘
>>> names[-1]
123
>>> names[-2] #还可以倒着取
‘Eric‘

切片（顾头不顾尾）

>>> names = ["Alex","Tenglan","Eric","Rain","Tom","Amy"]
>>> names[1:4]  #取下标1至下标4之间的数字，包括1，不包括4
[‘Tenglan‘, ‘Eric‘, ‘Rain‘]
>>> names[1:-1] #取下标1至-1的值，不包括-1
[‘Tenglan‘, ‘Eric‘, ‘Rain‘, ‘Tom‘]
>>> names[0:3]
[‘Alex‘, ‘Tenglan‘, ‘Eric‘]
>>> names[:3] #如果是从头开始取，0可以忽略，跟上句效果一样
[‘Alex‘, ‘Tenglan‘, ‘Eric‘]
>>> names[:] #取所有
["Alex", "Tenglan", "Eric", "Rain", "Tom", "Amy"]
>>> names[3:] #如果想取最后一个，必须不能写-1，只能这么写
[‘Rain‘, ‘Tom‘, ‘Amy‘]
>>> names[3:-1] #这样-1就不会被包含了
[‘Rain‘, ‘Tom‘]
>>> names[0::2] #后面的2是代表，每隔一个元素，就取一个
[‘Alex‘, ‘Eric‘, ‘Tom‘]
>>> names[::2] #和上句效果一样
[‘Alex‘, ‘Eric‘, ‘Tom‘]

追加

>>> names
[‘Alex‘, ‘Tenglan‘, ‘Eric‘, ‘Rain‘, ‘Tom‘, ‘Amy‘]
>>> names.append("我是新来的")
>>> names
[‘Alex‘, ‘Tenglan‘, ‘Eric‘, ‘Rain‘, ‘Tom‘, ‘Amy‘, ‘我是新来的‘]

插入

>>> names
[‘Alex‘, ‘Tenglan‘, ‘Eric‘, ‘Rain‘, ‘Tom‘, ‘Amy‘, ‘我是新来的‘]
>>> names.insert(2,"强行从Eric前面插入")
>>> names
[‘Alex‘, ‘Tenglan‘, ‘强行从Eric前面插入‘, ‘Eric‘, ‘Rain‘, ‘Tom‘, ‘Amy‘, ‘我是新来的‘]

>>> names.insert(5,"从eric后面插入试试新姿势")
>>> names
[‘Alex‘, ‘Tenglan‘, ‘强行从Eric前面插入‘, ‘Eric‘, ‘Rain‘, ‘从eric后面插入试试新姿势‘, ‘Tom‘, ‘Amy‘, ‘我是新来的‘]

修改

>>> names
[‘Alex‘, ‘Tenglan‘, ‘强行从Eric前面插入‘, ‘Eric‘, ‘Rain‘, ‘从eric后面插入试试新姿势‘, ‘Tom‘, ‘Amy‘, ‘我是新来的‘]
>>> names[2] = "该换人了"
>>> names
[‘Alex‘, ‘Tenglan‘, ‘该换人了‘, ‘Eric‘, ‘Rain‘, ‘从eric后面插入试试新姿势‘, ‘Tom‘, ‘Amy‘, ‘我是新来的‘]

删除

>>> del names[2]
>>> names
[‘Alex‘, ‘Tenglan‘, ‘Eric‘, ‘Rain‘, ‘从eric后面插入试试新姿势‘, ‘Tom‘, ‘Amy‘, ‘我是新来的‘]
>>> del names[4]
>>> names
[‘Alex‘, ‘Tenglan‘, ‘Eric‘, ‘Rain‘, ‘Tom‘, ‘Amy‘, ‘我是新来的‘]
>>>
>>> names.remove("Eric") #删除指定元素
>>> names
[‘Alex‘, ‘Tenglan‘, ‘Rain‘, ‘Tom‘, ‘Amy‘, ‘我是新来的‘]
>>> names.pop() #删除列表最后一个值
‘我是新来的‘
>>> names
[‘Alex‘, ‘Tenglan‘, ‘Rain‘, ‘Tom‘, ‘Amy‘]

扩展

>>> names
[‘Alex‘, ‘Tenglan‘, ‘Rain‘, ‘Tom‘, ‘Amy‘]
>>> b = [1,2,3]
>>> names.extend(b)
>>> names
[‘Alex‘, ‘Tenglan‘, ‘Rain‘, ‘Tom‘, ‘Amy‘, 1, 2, 3]

统计

>>> names
[‘Alex‘, ‘Tenglan‘, ‘Amy‘, ‘Tom‘, ‘Amy‘, 1, 2, 3]
>>> names.count("Amy")
2

排序&翻转

>>> names
[‘Alex‘, ‘Tenglan‘, ‘Amy‘, ‘Tom‘, ‘Amy‘, 1, 2, 3]
>>> names.sort() #排序
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
TypeError: unorderable types: int() < str()   #3.0里不同数据类型不能放在一起排序了，擦
>>> names[-3] = ‘1‘
>>> names[-2] = ‘2‘
>>> names[-1] = ‘3‘
>>> names
[‘Alex‘, ‘Amy‘, ‘Amy‘, ‘Tenglan‘, ‘Tom‘, ‘1‘, ‘2‘, ‘3‘]
>>> names.sort()
>>> names
[‘1‘, ‘2‘, ‘3‘, ‘Alex‘, ‘Amy‘, ‘Amy‘, ‘Tenglan‘, ‘Tom‘]

>>> names.reverse() #反转
>>> names
[‘Tom‘, ‘Tenglan‘, ‘Amy‘, ‘Amy‘, ‘Alex‘, ‘3‘, ‘2‘, ‘1‘]

获取下标

>>> names
[‘Tom‘, ‘Tenglan‘, ‘Amy‘, ‘Amy‘, ‘Alex‘, ‘3‘, ‘2‘, ‘1‘]
>>> names.index("Amy")
2 #只返回找到的第一个下标

拷贝（深浅copy）

浅copy三种实现方式

import copy
p = [‘alex‘, ‘oldbody‘, [‘tom‘, ‘jack‘]]

p1 = copy.copy(p)
p2 = p[:]
p3 = list(p)

import copy
__date__ = ‘2018/5/23 11:57‘
a = 10
b = a
a = 200
aa = ‘asdf‘
bb = aa
aa = ‘qwer‘
print(a, b)  # 200 10
print(aa, bb)  # qwer asdf

names = [‘Alex‘, ‘Tenglan‘, ‘Amy‘, ‘Tom‘, ‘Amy‘, 1, 2, 3]
name2 = names.copy()  # 浅copy,第一层是复制的一份，但是列表内嵌列表存的是地址，浅copy复制的也是地址
print(names)  # [‘Alex‘, ‘Tenglan‘, ‘Amy‘, ‘Tom‘, ‘Amy‘, 1, 2, 3]
print(name2)  # [‘Alex‘, ‘Tenglan‘, ‘Amy‘, ‘Tom‘, ‘Amy‘, 1, 2, 3]
name2[1] = ‘wlx‘
print(names)  # [‘Alex‘, ‘Tenglan‘, ‘Amy‘, ‘Tom‘, ‘Amy‘, 1, 2, 3]
print(name2)  # [‘Alex‘, ‘wlx‘, ‘Amy‘, ‘Tom‘, ‘Amy‘, 1, 2, 3]

name3 = [‘Alex‘, ‘Tenglan‘, ‘Amy‘, [‘jack‘, ‘alice‘], ‘Tom‘, ‘Amy‘, 1, 2, 3]  # 列表内部的列表存的是指针，复制的也是地址
name4 = name3.copy()  # 浅copy,第一层是复制的一份，但是列表内嵌列表存的是地址，浅copy复制的也是地址
name3[3][0] = ‘JACK chen‘
print(name3)  # [‘Alex‘, ‘Tenglan‘, ‘Amy‘, [‘JACK chen‘, ‘alice‘], ‘Tom‘, ‘Amy‘, 1, 2, 3]
print(name4)  # [‘Alex‘, ‘Tenglan‘, ‘Amy‘, [‘JACK chen‘, ‘alice‘], ‘Tom‘, ‘Amy‘, 1, 2, 3]
name3[2] = ‘AMY‘
print(name3)  # [‘Alex‘, ‘Tenglan‘, ‘AMY‘, [‘JACK chen‘, ‘alice‘], ‘Tom‘, ‘Amy‘, 1, 2, 3]
print(name4)  # [‘Alex‘, ‘Tenglan‘, ‘Amy‘, [‘JACK chen‘, ‘alice‘], ‘Tom‘, ‘Amy‘, 1, 2, 3]

name5 = [‘Alex‘, ‘Tenglan‘, ‘Amy‘, [‘jack‘, ‘alice‘], ‘Tom‘, ‘Amy‘, 1, 2, 3]
name6 = copy.copy(name5)  # 也是浅copy，和name5.copy效果一样
name5[3][0] = ‘JACK chen‘
name5[2] = ‘AMY‘
print(name6)  # [‘Alex‘, ‘Tenglan‘, ‘Amy‘, [‘JACK chen‘, ‘alice‘], ‘Tom‘, ‘Amy‘, 1, 2, 3]

name7 = [‘Alex‘, ‘Tenglan‘, ‘Amy‘, [‘jack‘, ‘alice‘], ‘Tom‘, ‘Amy‘, 1, 2, 3]
name8 = copy.deepcopy(name7)  # 深copy完全复制一封独立的
name7[3][0] = ‘JACK chen‘
name7[2] = ‘AMY‘
print(name8)  # [‘Alex‘, ‘Tenglan‘, ‘Amy‘, [‘jack‘, ‘alice‘], ‘Tom‘, ‘Amy‘, 1, 2, 3]

列表脚本操作符

列表对 + 和 * 的操作符与字符串相似。+ 号用于组合列表，* 号用于重复列表。如下所示：

Python 表达式 结果 描述
len([1, 2, 3]) 3 长度
[1, 2, 3] + [4, 5, 6] [1, 2, 3, 4, 5, 6] 组合
[‘Hi!‘] * 4 [‘Hi!‘, ‘Hi!‘, ‘Hi!‘, ‘Hi!‘] 重复
3 in [1, 2, 3] True 元素是否存在于列表中
for x in [1, 2, 3]: print x, 1 2 3 迭代

python内置函数的列表使用效果

序号 函数
1 cmp(list1, list2)
比较两个列表的元素
2 len(list)
列表元素个数
3 max(list)
返回列表元素最大值
4 min(list)
返回列表元素最小值
5 list(seq)
将元组转换为列表

元组

Python的元组与列表类似，不同之处在于元组的元素不能修改。（有序）

单纯的元组不能修改，但是元组内部若是有列表等，元素的元素如果是可变的就可以修改可变的元素

 a = (1,[‘alex‘, ‘abc123‘, ‘24‘ ])
>>> type(a)
<class ‘tuple‘>
>>> a[1][0] = ‘ALEX‘
>>> print(a)
(1, [‘ALEX‘, ‘abc123‘, ‘24‘])
>>> a[0] = 122
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
TypeError: ‘tuple‘ object does not support item assignment

元组可修改的情况

元组使用小括号，列表使用方括号。

元组创建很简单，只需要在括号中添加元素，并使用逗号隔开即可。

lass tuple(object):
    """
    tuple() -> empty tuple
    tuple(iterable) -> tuple initialized from iterable‘s items

    If the argument is a tuple, the return value is the same object.
    """
    def count(self, value): # real signature unknown; restored from __doc__
        """ T.count(value) -> integer -- return number of occurrences of value """
        return 0

    def index(self, value, start=None, stop=None): # real signature unknown; restored from __doc__
        """
        T.index(value, [start, [stop]]) -> integer -- return first index of value.
        Raises ValueError if the value is not present.
        """
        return 0

    def __add__(self, y): # real signature unknown; restored from __doc__
        """ x.__add__(y) <==> x+y """
        pass

    def __contains__(self, y): # real signature unknown; restored from __doc__
        """ x.__contains__(y) <==> y in x """
        pass

    def __eq__(self, y): # real signature unknown; restored from __doc__
        """ x.__eq__(y) <==> x==y """
        pass

    def __getattribute__(self, name): # real signature unknown; restored from __doc__
        """ x.__getattribute__(‘name‘) <==> x.name """
        pass

    def __getitem__(self, y): # real signature unknown; restored from __doc__
        """ x.__getitem__(y) <==> x[y] """
        pass

    def __getnewargs__(self, *args, **kwargs): # real signature unknown
        pass

    def __getslice__(self, i, j): # real signature unknown; restored from __doc__
        """
        x.__getslice__(i, j) <==> x[i:j]

                   Use of negative indices is not supported.
        """
        pass

    def __ge__(self, y): # real signature unknown; restored from __doc__
        """ x.__ge__(y) <==> x>=y """
        pass

    def __gt__(self, y): # real signature unknown; restored from __doc__
        """ x.__gt__(y) <==> x>y """
        pass

    def __hash__(self): # real signature unknown; restored from __doc__
        """ x.__hash__() <==> hash(x) """
        pass

    def __init__(self, seq=()): # known special case of tuple.__init__
        """
        tuple() -> empty tuple
        tuple(iterable) -> tuple initialized from iterable‘s items

        If the argument is a tuple, the return value is the same object.
        # (copied from class doc)
        """
        pass

    def __iter__(self): # real signature unknown; restored from __doc__
        """ x.__iter__() <==> iter(x) """
        pass

    def __len__(self): # real signature unknown; restored from __doc__
        """ x.__len__() <==> len(x) """
        pass

    def __le__(self, y): # real signature unknown; restored from __doc__
        """ x.__le__(y) <==> x<=y """
        pass

    def __lt__(self, y): # real signature unknown; restored from __doc__
        """ x.__lt__(y) <==> x<y """
        pass

    def __mul__(self, n): # real signature unknown; restored from __doc__
        """ x.__mul__(n) <==> x*n """
        pass

    @staticmethod # known case of __new__
    def __new__(S, *more): # real signature unknown; restored from __doc__
        """ T.__new__(S, ...) -> a new object with type S, a subtype of T """
        pass

    def __ne__(self, y): # real signature unknown; restored from __doc__
        """ x.__ne__(y) <==> x!=y """
        pass

    def __repr__(self): # real signature unknown; restored from __doc__
        """ x.__repr__() <==> repr(x) """
        pass

    def __rmul__(self, n): # real signature unknown; restored from __doc__
        """ x.__rmul__(n) <==> n*x """
        pass

    def __sizeof__(self): # real signature unknown; restored from __doc__
        """ T.__sizeof__() -- size of T in memory, in bytes """
        pass

tuple

内置函数

创建元组

tup1 = (‘physics‘, ‘chemistry‘, 1997, 2000)
tup2 = (1, 2, 3, 4, 5 )
tup3 = "a", "b", "c", "d

#创建空元组
tup1 = ()

# 元组中只包含一个元素时，需要在元素后面添加逗号
tup1 = (50,)

字典

字典的每个键值 key=>value 对用冒号 : 分割，每个键值对之间用逗号 , 分割，整个字典包括在花括号 {} 中

键一般是唯一的，如果重复最后的一个键值对会替换前面的，值不需要唯一。

值可以取任何数据类型，但键必须是不可变的，如字符串，数字或元组。

dir1 = {‘a‘: ‘1‘, ‘b‘: ‘2‘, ‘c‘: ‘3‘, ‘a‘: ‘3‘}
print(dir1)
person = dict({"name": "mr.wu", ‘age‘: 18})

字典创建

class dict(object):
    """
    dict() -> new empty dictionary
    dict(mapping) -> new dictionary initialized from a mapping object‘s
        (key, value) pairs
    dict(iterable) -> new dictionary initialized as if via:
        d = {}
        for k, v in iterable:
            d[k] = v
    dict(**kwargs) -> new dictionary initialized with the name=value pairs
        in the keyword argument list.  For example:  dict(one=1, two=2)
    """

    def clear(self): # real signature unknown; restored from __doc__
        """ 清除内容 """
        """ D.clear() -> None.  Remove all items from D. """
        pass

    def copy(self): # real signature unknown; restored from __doc__
        """ 浅拷贝 """
        """ D.copy() -> a shallow copy of D """
        pass

    @staticmethod # known case
    def fromkeys(S, v=None): # real signature unknown; restored from __doc__
        """
        dict.fromkeys(S[,v]) -> New dict with keys from S and values equal to v.
        v defaults to None.
        """
        pass

    def get(self, k, d=None): # real signature unknown; restored from __doc__
        """ 根据key获取值，d是默认值 """
        """ D.get(k[,d]) -> D[k] if k in D, else d.  d defaults to None. """
        pass

    def has_key(self, k): # real signature unknown; restored from __doc__
        """ 是否有key """
        """ D.has_key(k) -> True if D has a key k, else False """
        return False

    def items(self): # real signature unknown; restored from __doc__
        """ 所有项的列表形式 """
        """ D.items() -> list of D‘s (key, value) pairs, as 2-tuples """
        return []

    def iteritems(self): # real signature unknown; restored from __doc__
        """ 项可迭代 """
        """ D.iteritems() -> an iterator over the (key, value) items of D """
        pass

    def iterkeys(self): # real signature unknown; restored from __doc__
        """ key可迭代 """
        """ D.iterkeys() -> an iterator over the keys of D """
        pass

    def itervalues(self): # real signature unknown; restored from __doc__
        """ value可迭代 """
        """ D.itervalues() -> an iterator over the values of D """
        pass

    def keys(self): # real signature unknown; restored from __doc__
        """ 所有的key列表 """
        """ D.keys() -> list of D‘s keys """
        return []

    def pop(self, k, d=None): # real signature unknown; restored from __doc__
        """ 获取并在字典中移除 """
        """
        D.pop(k[,d]) -> v, remove specified key and return the corresponding value.
        If key is not found, d is returned if given, otherwise KeyError is raised
        """
        pass

    def popitem(self): # real signature unknown; restored from __doc__
        """ 获取并在字典中移除 """
        """
        D.popitem() -> (k, v), remove and return some (key, value) pair as a
        2-tuple; but raise KeyError if D is empty.
        """
        pass

    def setdefault(self, k, d=None): # real signature unknown; restored from __doc__
        """ 如果key不存在，则创建，如果存在，则返回已存在的值且不修改 """
        """ D.setdefault(k[,d]) -> D.get(k,d), also set D[k]=d if k not in D """
        pass

    def update(self, E=None, **F): # known special case of dict.update
        """ 更新
            {‘name‘:‘alex‘, ‘age‘: 18000}
            [(‘name‘,‘sbsbsb‘),]
        """
        """
        D.update([E, ]**F) -> None.  Update D from dict/iterable E and F.
        If E present and has a .keys() method, does:     for k in E: D[k] = E[k]
        If E present and lacks .keys() method, does:     for (k, v) in E: D[k] = v
        In either case, this is followed by: for k in F: D[k] = F[k]
        """
        pass

    def values(self): # real signature unknown; restored from __doc__
        """ 所有的值 """
        """ D.values() -> list of D‘s values """
        return []

    def viewitems(self): # real signature unknown; restored from __doc__
        """ 所有项，只是将内容保存至view对象中 """
        """ D.viewitems() -> a set-like object providing a view on D‘s items """
        pass

    def viewkeys(self): # real signature unknown; restored from __doc__
        """ D.viewkeys() -> a set-like object providing a view on D‘s keys """
        pass

    def viewvalues(self): # real signature unknown; restored from __doc__
        """ D.viewvalues() -> an object providing a view on D‘s values """
        pass

    def __cmp__(self, y): # real signature unknown; restored from __doc__
        """ x.__cmp__(y) <==> cmp(x,y) """
        pass

    def __contains__(self, k): # real signature unknown; restored from __doc__
        """ D.__contains__(k) -> True if D has a key k, else False """
        return False

    def __delitem__(self, y): # real signature unknown; restored from __doc__
        """ x.__delitem__(y) <==> del x[y] """
        pass

    def __eq__(self, y): # real signature unknown; restored from __doc__
        """ x.__eq__(y) <==> x==y """
        pass

    def __getattribute__(self, name): # real signature unknown; restored from __doc__
        """ x.__getattribute__(‘name‘) <==> x.name """
        pass

    def __getitem__(self, y): # real signature unknown; restored from __doc__
        """ x.__getitem__(y) <==> x[y] """
        pass

    def __ge__(self, y): # real signature unknown; restored from __doc__
        """ x.__ge__(y) <==> x>=y """
        pass

    def __gt__(self, y): # real signature unknown; restored from __doc__
        """ x.__gt__(y) <==> x>y """
        pass

    def __init__(self, seq=None, **kwargs): # known special case of dict.__init__
        """
        dict() -> new empty dictionary
        dict(mapping) -> new dictionary initialized from a mapping object‘s
            (key, value) pairs
        dict(iterable) -> new dictionary initialized as if via:
            d = {}
            for k, v in iterable:
                d[k] = v
        dict(**kwargs) -> new dictionary initialized with the name=value pairs
            in the keyword argument list.  For example:  dict(one=1, two=2)
        # (copied from class doc)
        """
        pass

    def __iter__(self): # real signature unknown; restored from __doc__
        """ x.__iter__() <==> iter(x) """
        pass

    def __len__(self): # real signature unknown; restored from __doc__
        """ x.__len__() <==> len(x) """
        pass

    def __le__(self, y): # real signature unknown; restored from __doc__
        """ x.__le__(y) <==> x<=y """
        pass

    def __lt__(self, y): # real signature unknown; restored from __doc__
        """ x.__lt__(y) <==> x<y """
        pass

    @staticmethod # known case of __new__
    def __new__(S, *more): # real signature unknown; restored from __doc__
        """ T.__new__(S, ...) -> a new object with type S, a subtype of T """
        pass

    def __ne__(self, y): # real signature unknown; restored from __doc__
        """ x.__ne__(y) <==> x!=y """
        pass

    def __repr__(self): # real signature unknown; restored from __doc__
        """ x.__repr__() <==> repr(x) """
        pass

    def __setitem__(self, i, y): # real signature unknown; restored from __doc__
        """ x.__setitem__(i, y) <==> x[i]=y """
        pass

    def __sizeof__(self): # real signature unknown; restored from __doc__
        """ D.__sizeof__() -> size of D in memory, in bytes """
        pass

    __hash__ = None

dict

内置函数

字典的特性：

  • dict是无序的
  • key必须是唯一的,so 天生去重
  • 字典值可以没有限制地取任何python对象，既可以是标准的对象，也可以是用户定义的，但键不行。

增加

info = {‘stu1102‘: ‘LongZe Luola‘, ‘stu1103‘: ‘XiaoZe Maliya‘, ‘stu1101‘: ‘wutenglan‘}
info[‘stu1104‘] = "武藤兰"
info.setdefault(‘stu1101‘, ‘wusir‘)  # setdefault() 如果key原来有，则不变原来的值，否则加一个键值对
info.setdefault(‘stu1105‘, ‘wusir1‘)
print(info)

修改

>>> info[‘stu1101‘] = "武藤兰"
>>> info
{‘stu1102‘: ‘LongZe Luola‘, ‘stu1103‘: ‘XiaoZe Maliya‘, ‘stu1101‘: ‘武藤兰‘}

删除

>>> info
{‘stu1102‘: ‘LongZe Luola‘, ‘stu1103‘: ‘XiaoZe Maliya‘, ‘stu1101‘: ‘武藤兰‘}
>>> info.pop("stu1101") #标准删除姿势
‘武藤兰‘
>>> info
{‘stu1102‘: ‘LongZe Luola‘, ‘stu1103‘: ‘XiaoZe Maliya‘}
>>> del info[‘stu1103‘] #换个姿势删除
>>> info
{‘stu1102‘: ‘LongZe Luola‘}
>>>
>>>
>>>
>>> info = {‘stu1102‘: ‘LongZe Luola‘, ‘stu1103‘: ‘XiaoZe Maliya‘}
>>> info
{‘stu1102‘: ‘LongZe Luola‘, ‘stu1103‘: ‘XiaoZe Maliya‘} #随机删除
>>> info.popitem()
(‘stu1102‘, ‘LongZe Luola‘)
>>> info
{‘stu1103‘: ‘XiaoZe Maliya‘}

查找

>>> info = {‘stu1102‘: ‘LongZe Luola‘, ‘stu1103‘: ‘XiaoZe Maliya‘}
>>>
>>> "stu1102" in info #标准用法
True
>>> info.get("stu1102")  #获取
‘LongZe Luola‘
>>> info["stu1102"] #同上，但是看下面
‘LongZe Luola‘
>>> info["stu1105"]  #如果一个key不存在，就报错，get不会，不存在只返回None
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
KeyError: ‘stu1105‘

多级字典嵌套

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‘]

循环字典

#方法1
for key in info:
    print(key,info[key])

#方法2
for k,v in info.items(): #会先把dict转成list,数据里大时莫用
    print(k,v)

集合

集合是一个无序的，不重复的数据组合，它的主要作用如下：

  • 去重，把一个列表变成集合，就自动去重了
  • 关系测试，测试两组数据之前的交集、差集、并集等关系

常用操作

s = set([3,5,9,10])      #创建一个数值集合
>>> type(s)
<class ‘set‘>
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  

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

基本数据类型总结

列表：有序，可重复，[ ]括起来

元组：原则上不可修改，有序，可重复，（）括起来

字典：无序，不可重复，{ }键值对

集合：无序，不重复，{1，2，3}表示

原文地址：https://www.cnblogs.com/wlx97e6/p/9310520.html

时间： 2024-10-22 15:29:09

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