Python | Get tuple element data types

Tuples can be a collection of various data types, and unlike simpler data types, conventional methods of getting the type of each element of tuple is not possible. For this we need to have different ways to achieve this task. Let's discuss certain ways in which this task can be performed. 

Method #1 : Using map() + type() 

Using this function is most conventional and best way to perform this task. In this, we just allow map() to extend the logic of finding data types using type() to each element of tuple. 

# Python3 code to demonstrate working of 
# Get tuple element data types 
# Using map() + type() 

# Initializing tuple 
test_tup = ('gfg', 1, ['is', 'best']) 

# printing original tuple 
print("The original tuple is : " + str(test_tup)) 

# Get tuple element data types 
# Using map() + type() 
res = list(map(type, test_tup)) 

# printing result 
print("The data types of tuple in order are : " + str(res)) 

The original tuple is : ('gfg', 1, ['is', 'best'])
The data types of tuple in order are : [<class 'str'>, <class 'int'>, <class 'list'>]

Method #2: Using collections.Sequence + isinstance() + type() 

We can perform this task using the combination of above functions. The additional advantage of using this method it that it also provides us with the length of each element if its type is complex data type. 

# Python3 code to demonstrate working of 
# Get tuple element data types 
# Using collections.Sequence + isinstance() + type() 
import collections 

# Initializing tuple 
test_tup = ('gfg', 1, ['is', 'best']) 

# printing original tuple 
print("The original tuple is : " + str(test_tup)) 

# Get tuple element data types 
# Using collections.Sequence + isinstance() + type() 
res = [(type(ele), len(ele) if isinstance(ele, collections.Sequence) else None) 
    for ele in test_tup] 

# printing result 
print("The data types of tuple in order are : " + str(res)) 

The original tuple is : ('gfg', 1, ['is', 'best'])
The data types of tuple in order are : [(<class 'str'>, 3), (<class 'int'>, None), (<class 'list'>, 2)]

Method #3: Using list comprehension and type()

This method uses a list comprehension to iterate through each element in the tuple and get its data type using the type() function

# Python3 code to demonstrate working of
# Get tuple element data types
# Using list comprehension and type()

# Initializing tuple
test_tup = ('gfg', 1, ['is', 'best'])

# printing original tuple
print("The original tuple is : " + str(test_tup))

# Get tuple element data types
# Using list comprehension and type()
res = [type(ele) for ele in test_tup]

# printing result
print("The data types of tuple in order are : " + str(res))

# This code is contributed by Edula Vinay Kumar Reddy

The original tuple is : ('gfg', 1, ['is', 'best'])
The data types of tuple in order are : [<class 'str'>, <class 'int'>, <class 'list'>]

Time complexity: O(n)
Auxiliary Space: O(n)

Method #4 : Using loop

Approach:

Step 1: Initialize the tuple
Step 2: Create an empty list to store the data types
Step 3: Loop through each element in the tuple
Step 4: Get the data type of the element using the type() function
Step 5: Append the data type to the list
Step 6: Print the result

# Initializing tuple
test_tup = ('gfg', 1, ['is', 'best'])

# printing original tuple
print("The original tuple is : " + str(test_tup))

# Get tuple element data types
# Using loop
res = []
for ele in test_tup:
    res.append(type(ele))

# printing result
print("The data types of tuple in order are : " + str(res))

The original tuple is : ('gfg', 1, ['is', 'best'])
The data types of tuple in order are : [<class 'str'>, <class 'int'>, <class 'list'>]

Time complexity: O(n), where n is the number of elements in the tuple
Auxiliary space: O(n), where n is the number of elements in the tuple (used to store the result in a list)

Method 5 : Using the map() function and lambda function

Step-by-step approach:

• First, we initialize the tuple test_tup.
• We then use the map() function with a lambda function to apply the type() function to each element of the tuple.
• The lambda function takes an element x and returns its type by calling the type() function on it.
• The map() function applies the lambda function to each element of the tuple and returns a map object.
• We convert the map object to a list using the list() function and store it in res.
• Finally, we print the result.

# Initializing tuple
test_tup = ('gfg', 1, ['is', 'best'])

# printing original tuple
print("The original tuple is : " + str(test_tup))

# Get tuple element data types
# Using map() and lambda function
res = list(map(lambda x: type(x), test_tup))

# printing result
print("The data types of tuple in order are : " + str(res))

The original tuple is : ('gfg', 1, ['is', 'best'])
The data types of tuple in order are : [<class 'str'>, <class 'int'>, <class 'list'>]

Time Complexity: O(n), where n is the length of the tuple.
Auxiliary Space: O(n), where n is the length of the tuple.

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