Featured Post

Python map() and lambda() Use Cases and Examples

Image
 In Python, map() and lambda functions are often used together for functional programming. Here are some examples to illustrate how they work. Python map and lambda top use cases 1. Using map() with lambda The map() function applies a given function to all items in an iterable (like a list) and returns a map object (which can be converted to a list). Example: Doubling Numbers numbers = [ 1 , 2 , 3 , 4 , 5 ] doubled = list ( map ( lambda x: x * 2 , numbers)) print (doubled) # Output: [2, 4, 6, 8, 10] 2. Using map() to Convert Data Types Example: Converting Strings to Integers string_numbers = [ "1" , "2" , "3" , "4" , "5" ] integers = list ( map ( lambda x: int (x), string_numbers)) print (integers) # Output: [1, 2, 3, 4, 5] 3. Using map() with Multiple Iterables You can also use map() with more than one iterable. The lambda function can take multiple arguments. Example: Adding Two Lists Element-wise list1 = [ 1 , 2 , 3 ]

These Tips Helpful to Remove Python List and Dictionary Duplicates

In this post, I have shared top ideas to remove duplicates from the list. Those are with Append and Dictionary.


Python: How to Remove Duplicates From List

1. How to Remove Duplicates with Append

# Here is a list with duplicates

list_with_duplicates = [1,2,3,12,1,2,3,4,5,6,1,2,3,7,8,9]

It is simple if you follow the first-approach - brute force approach:

list_without_duplicates = []

for pd in list_with_duplicates:
  if pd not in list_without_duplicates:
      list_without_duplicates.append(pd)
print(list_without_duplicates)

Result:

[1, 2, 3, 12, 4, 5, 6, 7, 8, 9]

This method has performance issues when the list is bigger in size. 

Real-time.

Idea 1:  Remove Duplicates Using Append.



2. How to Remove Duplicates with Dictionary


# Here is you can convert a list to a dictionary

dict_without_duplicates = dict(zip(list_with_duplicates, list_with_duplicates))
print(dictionary_without_duplicates)

Result:

{1: 1, 2: 2, 3: 3, 12: 12, 4: 4, 5: 5, 6: 6, 7: 7, 8: 8, 9: 9}


Real-time.

Idea 2: Remove Duplicates Using Dictionary.


Once again, this works and has the advantage of taking less space than duplicating the entire list. 


Notes: Of course, we still need to convert it back to a list when we did, which will be somewhat painful since we must extract the keys and add them to a list.

Comments

Popular posts from this blog

How to Fix datetime Import Error in Python Quickly

SQL Query: 3 Methods for Calculating Cumulative SUM

Python placeholder '_' Perfect Way to Use it