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What are Membership Operators in Python

The membership operators are, as the name explains, used to verify a value membership. The operators are used to figure out if there are two forms of value as a part of a sequence, such as string or list membership operators: in and not in. To check whether two variables point to the same location or not, identity operators are used. Two forms of identity operators are is and is not. In general, operators are used to work on Python values and variables. These are regular symbols used for logical and arithmetical operations.Identity Operators: The Python identity operators are used to figure out whether a value is of a certain class or type. Typically, they are used for evaluating the type of information in a given variable. For example, to make sure you work with the variable type, you can combine identity operators with the built-in type() function. Python’s two identity operators are (is, is not).is: When evaluated, is Operator in Python returns true if the variables point to the same variable on either side of the operator and return false otherwise. Example 1: x = 5  if (type(x) is int):  print(“true”)  else:  print(“false”) Output: true Example 2: x =6  if(type(x) is int):  print("true")  else:  print("false") Output: true Example 3: list1 = [9, 8, 7, ‘i’]  list2 = list1  if list1 is list2:  print(“True”)  else:  print(“False”) Output: True The output here is true because list2 also refers to a list1 referenced by the variable list1. We may also use the is operator to verify if two python objects of the same type have other functions such as the type() function. is not: The operator ‘is not’ is the exact opposite of ‘is operator’ in Python. When evaluated, the operator returns false if the variables point to the same object on either side of the operator and return true otherwise. Example 1: x = 5.2  if (type(x) is not int):  print(“true”)  else:  print(“false”) Output: true Example 2: x =7.2  if(type(x) is not int):  print("true")  else:  print("false") Output: true Example 3: new_list = [9,8,7, 'i']  new_tuple = (9,8,7, 'i')  type(my_new_tuple)  if type(my_new_list) is not type(my_new_tuple):      print('True!, They are not of the same type')  else:      print("False, They are the same type") Output: True!, They are not of the same type Since the tuple and the list are not the same and the operator does not check their inequality, it returns True. Let us see a combined example of “is” and “is not”. Example: x = "identity operator"  if (type(x) is str):       print ("This is a string")   else:       print ("This is not a string")   y=987  if (type(y) is not str):       print ("This is a string")   else:       print ("This is not a string") Output: This is a string  This is not string Declare the value for variable x and y. Use the operator “is” to check if the value of x is the same as y. Next, we use the operator “is not” to check if the value of x is not the same as y. Example 2: a1 = 10  b1 = 10  a2 = ‘PythonProgramming’  b2 = ‘Programming’  a3 = [1,2,6]  b3 = [1,2,3]  print(a1 is not b1)  print(a2 is b2)  print(a3 is b3) Output: True  False  False Membership Operators: These operators evaluate membership in lists, sequences, or tuples in one sequence. In Python, there are two membership operators. (in, not in). It displays the result in the given sequence or string centred on the present variable.Membership Operators as a whole comprise a number of different operators. in Operator: It tests whether or not the value is present in the data sequence. It analyses the true value if the component is in the series and the false value if the component is not present.  Example 1: list1 = ['Aman', 'Bhuvan', 'Ashok', 'Vijay', 'Anil']  if 'Aman' in list1: print('Name Aman exists in list1') Output: Name Aman exists in list1 Example 2: list1=[1,2,4,5]  list2=[6,7,9]  for item in list1:  if item in list2:  print("overlapping")      else:  print("not overlapping") Output: not overlapping Example 3: new_list = [1,2,3,'a']  # loop around the list  for i in new_list:      print(i) Output: 1  2  3  a The in operator allows the variable i to refer to every element in the list iterated by the for loop. You have to think that the operator is used to check whether or not an element is present in a sequence, but what exactly happens? Well, when used in various ways, in a loop and in a conditional statement like if statement, the operator behaves differently. Let us remove the in operator in the example and modify it. Example: def overlapping(list1,list2):  c=0  d=0  for i in list1:  c+=1  for i in list2:  d+=1  for i in range(0,c):  for j in range(0,d):  if(list1[i]==list2[j]):  return1  return 0  list1=[1,2,3,4,5]  list2=[6,7,8,9]  if(overlapping(list1,list2)):  print("overlapping")  else:  print("not overlapping")  Output: not overlapping not in Operator: This operator verifies that a value is not present in a sequence. This is exactly contrary to the in operator. It evaluates to true when the element is not found or missing from the sequence and returns false when the element is found in the data sequence. The searchable element is the left operand and the right operand is the sequence in which it is searched. Example 1: x = 'Hello world'  y = {1:'a',2:'b'}  print('H' in x)  print('hello' not in x)  print(1 in y)  print('a' in y) Output: True  True  True  False Example 2: list=[10, 20, 30, 40, 50];  if( x not in list):  print("x is NOT present in the given list")  else:  print("x is present in the given list")  if( y in list):  print("y is present in the given list")  else:  print("y is NOT present in the given list") Output: x is NOT present in the given list  y is present in the given listExample 3: my_new_list = [1,2,3, 'a']  event = 'Studytonight'  if event not in my_new_list:      print('True') Output: True event not in my_new_list returns the negation of the in operator. The if condition checks if the special variable is included in the list or not. Since the special element isn’t in the list, it will return true. Example 4: list_one = [1, 2, 3]  list_two = [1, 2, 3]  list_one is not list_two Output: True This is because the lists apply to different objects in different memory locations.Conclusion: Identity and membership operators are useful to verify certain elements in a series of data and to verify the data identity respectively. Identity operators can be used with the type() function to check if a variable is of a certain type or class prior to any operation. 

What are Membership Operators in Python

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  • by Abhresh S
  • 24th Mar, 2021
  • Last updated on 24th Mar, 2021
  • 5 mins read
What are Membership Operators in Python

The membership operators are, as the name explains, used to verify a value membership. The operators are used to figure out if there are two forms of value as a part of a sequence, such as string or list membership operators:in and not in. 

To check whether two variables point to the same location or not, identity operators are used. Two forms of identity operators are is and is not. 

In general, operators are used to work on Python values and variables. These are regular symbols used for logical and arithmetical operations.

Identity Operators: 

The Python identity operatorsare used to figure out whether a value is of a certain class or type. Typically, they are used for evaluating the type of information in a given variable. For example, to make sure you work with the variable type, you can combine identity operators with the built-in type() function. Python’s two identity operators are (is, is not).Identity operators in python

is:When evaluated, is Operator in Python returns true if the variables point to the same variable on either side of the operator and return false otherwise. 

Example 1: 

x = 5 
if (type(x) is int): 
print(“true”) 
else: 
print(“false”) 

Output: 

true 

Example 2: 

x =6 
if(type(x) is int): 
print("true") 
else: 
print("false") 

Output: 

true 

Example 3: 

list1 = [9, 8, 7, ‘i’] 
list2 = list1 
if list1 is list2: 
print(“True”) 
else: 
print(“False”) 

Output: 

True 

The output here is true because list2 also refers to a list1referenced by the variable list1. We may also use the isoperator to verify if two python objects of the same type have other functions such as the type() function. 

is not:The operator is not is the exact opposite of ‘is operator’in Python. When evaluated, the operator returns false if the variables point to the same object on either side of the operator and return trueotherwise. 

Example 1: 

x = 5.2 
if (type(x) is not int): 
print(“true”) 
else: 
print(“false”) 

Output: 

true 

Example 2: 

x =7.2 
if(type(x) is not int): 
print("true") 
else: 
print("false") 

Output: 

true 

Example 3: 

new_list = [9,8,7, 'i'] 
new_tuple = (9,8,7, 'i') 
type(my_new_tuple) 
if type(my_new_list) is not type(my_new_tuple): 
    print('True!, They are not of the same type') 
else: 
    print("False, They are the same type") 

Output: 

True!, They are not of the same type 

Since the tuple and the list are not the same and the operator does not check their inequality, it returns True. 

Let us see a combined example of “is” and “is not”. 

Example: 

x = "identity operator" 
if (type(x) is str):  
    print ("This is a string")  
else:  
    print ("This is not a string")  
y=987 
if (type(y) is not str):  
    print ("This is a string")  
else:  
    print ("This is not a string") 

Output: 

This is a string 
This is not string 

Python Example

Declare the value for variable x and y. Use the operator “is” to check if the value of x is the same as y. Next, we use the operator “is not” to check if the value of x is not the same as y. 

Example 2: 

a1 = 10 
b1 = 10 
a2 = ‘PythonProgramming 
b2 = ‘Programming’ 
a3 = [1,2,6] 
b3 = [1,2,3] 
print(a1 is not b1) 
print(a2 is b2) 
print(a3 is b3) 

Output: 

True 
False 
False 

Membership Operators: 

These operators evaluate membership in lists, sequences, or tuples in one sequence. In Python, there are two membership operators. (in, not in). It displays the result in the given sequence or string centred on the present variable.

Membership Operators

Membership Operators as a whole comprise a number of different operators. 

in Operator:It tests whether or not the value is present in the data sequence. It analyses the true value if the component is in the series and the false value if the component is not present. 

Example 1: 

list1 = ['Aman', 'Bhuvan', 'Ashok', 'Vijay', 'Anil'] 
if 'Aman' in list1: print('Name Aman exists in list1') 

Output: 

Name Aman exists in list1 

Example 2: 

list1=[1,2,4,5] 
list2=[6,7,9] 
for item in list1: 
if item in list2: 
print("overlapping")     
else: 
print("not overlapping") 

Output: 

not overlapping 

Example 3: 

new_list = [1,2,3,'a'] 
# loop around the list 
for i in new_list: 
    print(i) 

Output: 

1 
2 
3 
a 

The in operator allows the variable ito refer to every element in the list iterated by the for loop. You have to think that the operator is used to check whether or not an element is present in a sequence, but what exactly happens? Well, when used in various ways, in a loop and in a conditional statement like if statement, the operator behaves differently. 

Let us remove the in operator in the example and modify it. 

Example: 

def overlapping(list1,list2): 
c=0 
d=0 
for i in list1: 
c+=1 
for i in list2: 
d+=1 
for i in range(0,c): 
for j in range(0,d): 
if(list1[i]==list2[j]): 
return1 
return 0 
list1=[1,2,3,4,5] 
list2=[6,7,8,9] 
if(overlapping(list1,list2)): 
print("overlapping") 
else: 
print("not overlapping")  

Output: 

not overlapping 

Python Example

not in Operator:This operatorverifies that a value is not present in a sequence. This is exactly contrary to the inoperator. It evaluates to true when the element is not found or missing from the sequence and returns false when the element is found in the data sequence. The searchable element is the left operand and the right operand is the sequence in which it is searched. 

Example 1: 

x = 'Hello world' 
y = {1:'a',2:'b'} 
print('H' in x) 
print('hello' not in x) 
print(1 in y) 
print('a' in y) 

Output: 

True 
True 
True 
False 

Example 2: 

list=[10, 20, 30, 40, 50]; 
if( x not in list): 
print("x is NOT present in the given list") 
else: 
print("x is present in the given list") 
if( y in list): 
print("y is present in the given list") 
else: 
print("y is NOT present in the given list") 

Output: 

x is NOT present in the given list 
y is present in the given list

Example 3: 

my_new_list = [1,2,3, 'a'] 
event = 'Studytonight' 
if event not in my_new_list: 
    print('True') 

Output: 

True 

event not inmy_new_listreturns the negation of the in operator. The ifconditionchecks if the special variable is included in the list or not. Since the special element isn’t in the list, it will return true. 

Example 4: 

list_one = [1, 2, 3] 
list_two = [1, 2, 3] 
list_one is not list_two 

Output: 

True 

This is because the lists apply to different objects in different memory locations.

Conclusion: 

Identity and membership operators are useful to verify certain elements in a series of data and to verify the data identity respectively. Identity operators can be used with the type() function to check if a variable is of a certain type or class prior to any operation. 

Abhresh

Abhresh S

Freelance Corporate Trainer

An Online Technical Trainer by profession! And Content writer by hobby! Interested in sharing quality knowledge to make the Industry grow better towards better success and better tomorrow! With a Guru Mantra of - "Keep Learning & Keep Practicing".

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