② Python3.0 operator

Python3.0 language supported operators are:

Arithmetic operators, comparison (relationship) operators, assignment operators, logical operators, bit operators, members of the operators, the identity of operators, operator precedence

First, arithmetic operators

Common arithmetic operators are +, -, *, /,%, these relatively common, they say ignored, mainly explained the other two arithmetic operators under Python3.0 in:

* Power - y x to the power return, such as 2 ** 3, i.e., the third power of 2.

// take divisible - rounded down to the integer divisor close, pay attention to positive and negative difference lies.

>>> 9//2
4
>>> -9//2
-5

Second, comparison (relationship) operator

 Common comparison operators are: ==, =,>, <,> =, <=!. Here is not a detailed explanation.

Third, the assignment operator

Common assignment operator: = simple assignment operator + = addition assignment operator - = subtraction assignment operator, * = multiplication assignment operator, / = division assignment operator,% = modulo assignment operator * * = exponentiation assignment operator, = // assignment operator take divisible

Note here that, in the Python language, there is no + or - this operation with other languages ​​to note the difference. Or being given, as shown:

Without the use of philosophical logic ++: compile simple and concise language on the resolution itself,

Right increment operator should a = a + 1 or a + = 1, when this a self-energizing, by id () Observe that, id value is changed, i.e., the name has a new value.

Fourth, the logical operators

 Python language supports logical operators, the following is assumed as a variable 10, b is 20:

Operators

Logical expression

description

Examples

and

x and y

Boolean "and" - if x is False, x and y returns False, else it returns evaluation of y.

(A and b) returns 20.

or

x or y

Boolean "or" - If x is True, it returns the value of x, otherwise it returns evaluation of y.

(A or b) to return 10.

not

not x

Boolean "NOT" - If x is True, it returns False. If x is False, it returns True.

not (a and b) returns False

Look at the operation of the example and or not. Priority: not> and> or

and: front false ( 0 or False) expression is false, the value of the expression or later; 
or: the foregoing is true (not 0 or non False) is the preceding value expression, or the expression of the latter value;

V. Bitwise Operators

 python-bit computing is looking at the numbers to binary operations. The following calculation example a = 60, b = 13:

Operators

description

Examples

& Bitwise AND operator: two values ​​involved in operations, if the corresponding two bits are 1, then the 1-bit result is 0 otherwise (A & b) output 12, a binary interpretation: 00001100
| Or bitwise operators: two long as the corresponding binary bit is a 1, it is a result bit. (A | b) output 61, a binary interpretation: 00111101
^ Bitwise exclusive OR operator: When two different corresponding binary, the result is a (A ^ b) output 49, a binary interpretation: 00110001
~ Bitwise operators: for each binary data bit inverse, i.e., the 1 to 0, the 0 to 1. similarly ~ x  -x-1 (~ A) -61 output, binary interpreter: 11000011, in the form of a complement to unsigned binary number.
<< Mobile operators left: each binary operand to the left a number of bits of all, the  number to the right the number of bits specified << movement, discarding high, low 0s. output a << 2 240, the binary interpretation: 11110000
>> 右移动运算符:把">>"左边的运算数的各二进位全部右移若干位,>> 右边的数字指定了移动的位数 a >> 2 输出结果 15 ,二进制解释: 0000 1111

六、成员运算符

 除了以上的一些运算符之外,Python还支持成员运算符,测试实例中包含了一系列的成员,包括字符串,列表或元组。

运算符

描述

实例

in

如果在指定的序列中找到值返回 True,否则返回 False。

x 在 y 序列中 , 如果 x 在 y 序列中返回 True。

not in

如果在指定的序列中没有找到值返回 True,否则返回 False。

x 不在 y 序列中 , 如果 x 不在 y 序列中返回 True。

七、身份运算符 

身份运算符用于比较两个对象的存储单元

运算符

描述

实例

is is 是判断两个标识符是不是引用自一个对象 x is y, 类似 id(x) == id(y) , 如果引用的是同一个对象则返回 True,否则返回 False
is not is not 是判断两个标识符是不是引用自不同对象 x is not y , 类似 id(a) != id(b)。如果引用的不是同一个对象则返回结果 True,否则返回 False。

注: id() 函数用于获取对象内存地址。 

is 与 == 区别:
is 用于判断两个变量引用对象是否为同一个(同一块内存空间)即内存地址, 判断两个对象是否为同一对象, 是通过 id 来判断的; 当两个基本类型数据(或元组)内容相同时, id 会相同, 但并不代表 a 会随 b 的改变而改变。 
== 用于判断引用变量的值是否相等。 判断两个对象的内容是否相同, 是通过调用 __eq__() 来判断的。 

例子1:

a = 20
b = 20
if ( id(a) == id(b) ):
   print ("2 - a 和 b 有相同的标识")
else:
   print ("2 - a 和 b 没有相同的标识")

例子2:

a = [1, 2, 3]
b = a
print("b is a :", b is a)
print("b == a :", b == a)

b = a[:]
print("b is a :", b is a)   ##虽然值一样,但是内存地址不一样。
print("b == a :", b == a)

结果:

 

例子3

# 当列表,元组,字典中的值都引用 a,b 时,总是返回 True,不受 a,b 值大小的影响
a=1000
b=1000
list1=[a,3,5]
list2=[b,4,5]
print(list1[0] is list2[0])     # >>>>> True
tuple1=(a,3,5)
tuple2=(b,4,5)
print(tuple1[0] is tuple2[0])   # >>>>> True
dict1={6:a,2:3,3:5}
dict2={1:b,2:4,3:7}
print(dict1[6] is dict2[1])     # >>>>> True
print("-------------------------------------------------------")
# 当不引用a,b,直接用具体值来测试时,列表,字典,不受值大小影响,返回True,元组则受 256 值范围的影响,超出范围则地址改变,返回 False。
list1=[1000,3,5]
list2=[1000,4,5]
print(list1[0] is list2[0])    # >>>>> True
tuple1=(1000,3,5)
tuple2=(1000,4,5)
print(tuple1[0] is tuple2[0])  # >>>>> False
dict1={6:1000,2:3,3:5}
dict2={1:1000,2:4,3:7}
print(dict1[6] is dict2[1])    # >>>>> True
print("-------------------------------------------------------")
# 当直接用列表、元组、字典本身来测试时,刚好相反,元组返回 True,列表,字典返回 False。
list1=[1000,3,5]
list2=[1000,3,5]
print(list1 is list2)          # >>>>> False
tuple1=(1000,3,5)
tuple2=(1000,3,5)
print(tuple1 is tuple2)        # >>>>> True
dict1={1:1000,2:3,3:5}
dict2={1:1000,2:3,3:5}
print(dict1 is dict2)          # >>>>> False

八、运算符优先级

以下表格列出了从最高到最低优先级的所有运算符:  

运算符 描述
** 指数 (最高优先级)
~ + - 按位翻转, 一元加号和减号 (最后两个的方法名为 +@ 和 -@)
* / % // 乘,除,取模和取整除
+ - 加法减法
>> << 右移,左移运算符
& 位 'AND'
^ | 位运算符
<= < > >= 比较运算符
<> == != 等于运算符
= %= /= //= -= += *= **= 赋值运算符
is is not 身份运算符
in not in 成员运算符
not and or 逻辑运算符

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Origin www.cnblogs.com/shawWey/p/11310234.html