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The Python Identity operator will compare the objects by checking if the object belongs to the same memory location. Read this article to learn more about Python Identity Operator.

What is Python Identity Operator

Python operator consists of two operators such as ‘is‘and ‘is not‘. Both the values will be returned with the Boolean values. The in-operators will check if the value comes true only if the operand object shares the same memory location.

Furthermore, the memory location of the object will be achieved with the help of the ”id()” function. Whereas, if both the variables id() are the same, then the in operator will return with the True.

# Identity Operator - 'is'
x = [1, 2, 3]
y = [1, 2, 3]
z = x

# 'is' operator checks if both variables refer to the same object in memory
print(x is y)  # False, because x and y refer to different objects
print(x is z)  # True, because x and z refer to the same object

# Identity Operator - 'is not'
print(x is not y)  # True, because x and y do not refer to the same object
print(x is not z)  # False, because x and z refer to the same object

Output

False
True
True
False

However, list and tuple will do operations very differently. The example given below contains two lists such as ”a” and ”b” with the same items and the id() varies.

a=[1,2,3]
b=[1,2,3]
print ("id(a), id(b):", id(a), id(b))
print ("a is b:", a is b)
print ("b is not a:", b is not a)

Output

id(a), id(b): 1552612704640 1552567805568
a is b: False
b is not a: True

The list or tuple has memory locations of individual items only and not the items themselves. Thus, ”a ” consists of an address of 10,20, or 30 integer objects that are located in a particular location and will be different from the of ”b”.

Output

140734682034984 140734682035016 140734682035048
140734682034984 140734682035016 140734682035048

Here, the ‘is’ operator will return with a false value even if it contains the same numbers. This happens due to the two different locations of a and b.

Conclusion

To conclude, this article will improve our knowledge of the Python Identity Operator. It has also provided examples of the ”is” and ”is not” operators.

Python Identity Operator- FAQs

Hridhya Manoj

Hello, I’m Hridhya Manoj. I’m passionate about technology and its ever-evolving landscape. With a deep love for writing and a curious mind, I enjoy translating complex concepts into understandable, engaging content. Let’s explore the world of tech together

Table of Contents

Python comparison operators will compare two values. == or equal to, != or not equal to, > or greater than, >= or greater than or equal to, < or less than, and <= or less than or equal to are the six Python comparison operators. Read this article to learn more about Python Comparison Operators.

What is a Python Comparison Operator

Comparison Operators in Python play an essential role in Python’s conditional statements (if, else, and elif) and looping statements (while loops). These comparison operators are also known as relational operators. Hence, the known operators will stands for < and > will be for greater operators.

Furthermore, python will use two operators by adding the = symbol with these two. The <= symbol will be less than or equal to the operator and these >= symbols will stand for greater than or equal to the operator.

It is known that Python has two operators that are ”==” and ” !=”. The <= symbol will stand for less than or equal to the operator, whereas the ”>=” is referred to as the greater than or equal to the operator.

Look at the table below to learn more about six comparison operators in Python.

Comparison operators are mostly binary and need two operands. An expression that has a comparison operator is known as a Boolean expression. This will either come as true or false.

a=5
b=7
print (a>b)
print (a<b)

Output

False
True

Both the operands can either be Python literals, variables or expressions. As Python has mixed arithmetic it is possible to have any number-type operands.

The code provided below will show the use of Python comparison operators with integer numbers

print ("Both operands are integer")
a=5
b=7
print ("a=",a, "b=",b, "a>b is", a>b)
print ("a=",a, "b=",b,"a<b is",a<b)
print ("a=",a, "b=",b,"a==b is",a==b)
print ("a=",a, "b=",b,"a!=b is",a!=b)

Output

Both operands are integer
a= 5 b= 7 a>b is False
a= 5 b= 7 a<b is True
a= 5 b= 7 a==b is False
a= 5 b= 7 a!=b is True

Comparison of Float number

This example will show the comparison of an integer and float operand.

print ("comparison of int and float")
a=10
b=10.0
print ("a=",a, "b=",b, "a>b is", a>b)
print ("a=",a, "b=",b,"a<b is",a<b)
print ("a=",a, "b=",b,"a==b is",a==b)
print ("a=",a, "b=",b,"a!=b is",a!=b)

Output

comparison of int and float
a= 10 b= 10.0 a>b is False
a= 10 b= 10.0 a<b is False
a= 10 b= 10.0 a==b is True
a= 10 b= 10.0 a!=b is False

What is the Comparison of Complex numbers?

A complex object is considered as the number data type in Python. It will work differently from others in behavior. Python won’t support < and> operators as it cannot support the equality ( ==) and inequality (!=) operators.

print ("comparison of complex numbers")
a=10+1j
b=10.-1j
print ("a=",a, "b=",b,"a==b is",a==b)
print ("a=",a, "b=",b,"a!=b is",a!=b)

Output

comparison of complex numbers
a= (10+1j) b= (10-1j) a==b is False
a= (10+1j) b= (10-1j) a!=b is True

Here, it is possible to get a type error that is less than or greater than the operators.

print ("comparison of complex numbers")
a=10+1j
b=10.-1j
print ("a=",a, "b=",b,"a<b is",a<b)
print ("a=",a, "b=",b,"a>b is",a>b)

Output

comparison of complex numbers
Traceback (most recent call last):
  File "C:\Users\mlath\examples\example.py", line 5, in <module>
    print ("a=",a, "b=",b,"a<b is",a<b)
                                      ^^^
TypeError: '<' not supported between instances of 'complex' and
'complex

Comparison of Booleans

Boolean objects are referred to as real integers such as true is 1 and false is 0. However, python will consider any non-zero numbers as true=. Hence, it is allowed to compare the boolean objects. False< True is True.

print ("comparison of Booleans")
a=True
b=False
print ("a=",a, "b=",b,"a<b is",a<b)
print ("a=",a, "b=",b,"a>b is",a>b)
print ("a=",a, "b=",b,"a==b is",a==b)
print ("a=",a, "b=",b,"a!=b is",a!=b)

Output

comparison of Booleans
a= True b= False a<b is False
a= True b= False a>b is True
a= True b= False a==b is False
a= True b= False a!=b is True

What is the Comparison of Sequence Types?

The comparison of one similar sequence object will be operated in Python. A string object can be compared with another string only. A list can’t be compared with a tuple even if it holds the same items.

print ("comparison of different sequence types")
a=(1,2,3)
b=[1,2,3]
print ("a=",a, "b=",b,"a<b is",a<b)

Output

comparison of different sequence types
Traceback (most recent call last):
  File "C:\Users\mlath\examples\example.py", line 5, in <module>
    print ("a=",a, "b=",b,"a<b is",a<b)
                                       ^^^
TypeError: '<' not supported between instances of 'tuple' and 'list'

From the example provided above, it is understood that the sequence objects will be compared with the help of a lexicographical ordering mechanism. This comparison will begin with the item at the 0th index. Hence, if they come as equal, this comparison will move to the next index until they get the items at the certain index unequal or the sequence is exhausted.

However, if one sequence is considered as the initial sub-sequence of the other, then the shorter sequence will be the lesser one.

The operators will be considered greater and that will depend on the difference in the values of items when they are not equal. An example of this is BAT’>’BAR’ is True, if the T comes after R in Unicode order.

All the items in the two sequences will be compared for equity. Thus, the sequence will be equal while comparison.

print ("comparison of strings")
a='BAT'
b='BALL'
print ("a=",a, "b=",b,"a<b is",a<b)
print ("a=",a, "b=",b,"a>b is",a>b)
print ("a=",a, "b=",b,"a==b is",a==b)
print ("a=",a, "b=",b,"a!=b is",a!=b)

Output

comparison of strings
a= BAT b= BALL a<b is False
a= BAT b= BALL a>b is True
a= BAT b= BALL a==b is False
a= BAT b= BALL a!=b is True

Another example given below illustrates the two tuple objects.

print ("comparison of tuples")
a=(1,2,4)
b=(1,2,3)
print ("a=",a, "b=",b,"a<b is",a<b)
print ("a=",a, "b=",b,"a>b is",a>b)
print ("a=",a, "b=",b,"a==b is",a==b)
print ("a=",a, "b=",b,"a!=b is",a!=b)

Output

a= (1, 2, 4) b= (1, 2, 3) a<b is False
a= (1, 2, 4) b= (1, 2, 3) a>b is True
a= (1, 2, 4) b= (1, 2, 3) a==b is False
a= (1, 2, 4) b= (1, 2, 3) a!=b is True

What is the Comparison of Dictionary objects?

While comparing the dictionary objects, “< ” and “>” operators are used in the Python dictionary and they are not defined. Whereas, in operands, this type error “<” cannot be supported in between the instances of ‘dict’ and ‘dict’ will be reported.

Whereas. the equality comparison will monitor if the length of both the dict items is the same. The length of the dictionary will be considered as the number of key-value pairs in it.

However, python dictionaries will be compared with the length. The dictionaries that have fewer elements won’t be referred to as dictionaries. Since dictionaries require more elements.

print ("comparison of dictionary objects")
a={1:1,2:2}
b={2:2, 1:1, 3:3}
print ("a=",a, "b=",b,"a==b is",a==b)
print ("a=",a, "b=",b,"a!=b is",a!=b)

Output

comparison of dictionary objects
a= {1: 1, 2: 2} b= {2: 2, 1: 1, 3: 3} a==b is False
a= {1: 1, 2: 2} b= {2: 2, 1: 1, 3: 3} a!=b is True

Conclusion

Comparison Operators in Python is a relevant topic for beginners to learn. Learning these operators will be useful during coding and writing Python.

Python Comparison Operators- FAQs

Hridhya Manoj

Hello, I’m Hridhya Manoj. I’m passionate about technology and its ever-evolving landscape. With a deep love for writing and a curious mind, I enjoy translating complex concepts into understandable, engaging content. Let’s explore the world of tech together

Table of Contents

Python Operators

In Python Programming, operators in general functions will perform operations on values and variables. These operators are considered as the standard symbol which functions for logical and arithmetic operations.

Let us check out this article to learn more about the different types of Python Operators.

What are Operators in Python?

Python and several programming languages have different types of operators which are the symbol and even referred to as keywords. They will do operations on one or more operands.

These operators will offer different operations such as addition, subtraction, multiplication, and division.

Types Of Operators in Python

a. Arithmetic Operator

b. Comparison Operator

c. Assignment Operator

d. Logical Operator

e. Bitwise Operators

f. Membership Operators

g. Identity Operators

Python Arithmetic Operators

Arithmetic Operators mainly function to do basic mathematical operations. Hence, the variable will have 10 and the variable b has 20.

Python Comparison Operators

These operators have values on either side of them and can analyze the relation between them. These are also known as Relational Operators.

Suppose variable a has 10 and variable b has 20

Python Assignment Operators

Assignment operators will provide values to several variables. Python assignment operators table is provided below

Python Bitwise Operators

Bitwise Operator will perform on bits and functions bit by bit operations. Moreover, these operations will compare binary numbers.

Python Logical Operators

These operators will further compile more than 2 conditions and monitor the final result. The logical operators which are provided here will support the Python language.

Python Membership Operators

These operators will test for membership in a sequence like the strings, lists, or tuples.

Python Identity Operators

Identity operators will compare the memory locations of two objects. Those identity operators are given below

Python Operators Precedence

The table below has operators from the highest precedence to the lowest.

Conclusion

To conclude, this article will educate us on the different types of Python operators. Python Arithmetic Operators, Python Bitwise operators, Python Logical operators, and several other operators are included in this.

Python Operators- FAQs

Hridhya Manoj

Hello, I’m Hridhya Manoj. I’m passionate about technology and its ever-evolving landscape. With a deep love for writing and a curious mind, I enjoy translating complex concepts into understandable, engaging content. Let’s explore the world of tech together