Skip to content
Related Articles

Related Articles

Python – Remove particular data type Elements from Tuple
  • Last Updated : 10 Jul, 2020

Sometimes, while working with Python tuples, we can have a problem in which we need to remove particular data type elements from tuple. This kind of problem can occur in domains which require data preprocessing. Let’s discuss certain ways in which this task can be performed.

Input : test_tuple = (4, 5, ‘Gfg’, 7.7, ‘Best’), data_type = str
Output : [4, 5, 7.7]

Input : test_tuple = (4, 5, ‘Gfg’, 7.7, ‘Best’), data_type = float
Output : [4, 5, ‘Gfg’, ‘Best’]

Method #1 : Using loop + isinstance()
The combination of above functionalities can be used to solve this problem. In this, we need to iterate for each element and discard the element if it matches the data type, using isinstance().

filter_none

edit
close

play_arrow

link
brightness_4
code

# Python3 code to demonstrate working of 
# Remove particular data type Elements from Tuple
# Using loop + isinstance() 
  
# initializing tuple
test_tuple = (4, 5, 'Gfg', 7.7, 'Best')
  
# printing original tuple
print("The original tuple : " + str(test_tuple))
  
# initializing data type
data_type = int 
  
# Remove particular data type Elements from Tuple
# Using loop + isinstance()
res = []
for ele in test_tuple:
    if not isinstance(ele, data_type):
        res.append(ele)
  
# printing result 
print("The filtered tuple : " + str(res))

chevron_right


Output :



The original tuple : (4, 5, 'Gfg', 7.7, 'Best')
The filtered tuple : ['Gfg', 7.7, 'Best']

 

Method #2 : Using list comprehension + isinstance()
This is yet another way in which this task can be performed. In this, we need to perform similar task using a shorthand by list comprehension.

filter_none

edit
close

play_arrow

link
brightness_4
code

# Python3 code to demonstrate working of 
# Remove particular data type Elements from Tuple
# Using list comprehension + isinstance() 
  
# initializing tuple
test_tuple = (4, 5, 'Gfg', 7.7, 'Best')
  
# printing original tuple
print("The original tuple : " + str(test_tuple))
  
# initializing data type
data_type = int 
  
# Remove particular data type Elements from Tuple
# Using list comprehension + isinstance() 
res = [ele for ele in test_tuple if not isinstance(ele, data_type)]
  
# printing result 
print("The filtered tuple : " + str(res))

chevron_right


Output :

The original tuple : (4, 5, 'Gfg', 7.7, 'Best')
The filtered tuple : ['Gfg', 7.7, 'Best']

Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course.

My Personal Notes arrow_drop_up
Recommended Articles
Page :