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filter() function in Python

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Introduction

The filter() function helps you pick items from a list (or other collections) that match a rule you set. It keeps only the items you want.

When you want to get only even numbers from a list of numbers.
When you need to find all words longer than 5 letters in a list of words.
When you want to remove empty strings from a list of text.
When you want to select only active users from a list of user data.
Syntax
Python
filter(function, iterable)

function is a rule that returns True or False for each item.

iterable is the list or collection you want to filter.

Examples
Filters even numbers from the list.
Python
filter(lambda x: x % 2 == 0, [1, 2, 3, 4, 5])
Filters words longer than 5 letters using a named function.
Python
def is_long(word):
    return len(word) > 5

filter(is_long, ['apple', 'banana', 'pear'])
Filters out empty strings by using None as the function.
Python
filter(None, ['apple', '', 'banana', '', 'pear'])
Sample Program

This program keeps numbers greater than 18 from the list and prints them.

Python
numbers = [10, 15, 20, 25, 30]
# Keep only numbers greater than 18
filtered_numbers = filter(lambda x: x > 18, numbers)

# Convert filter object to list to print
result = list(filtered_numbers)
print(result)
OutputSuccess
Important Notes

filter() returns a filter object, so you often convert it to a list to see the results.

If you use None as the function, filter() removes items that are false-like (e.g., empty strings, zero, None).

Summary

filter() helps pick items from a collection based on a rule.

You give it a function that returns True or False for each item.

The result is a filtered collection with only the items that passed the rule.

Practice

(1/5)
1. What does the filter() function do in Python?
easy
A. Sorts the items in a list
B. Changes all items in a list to uppercase
C. Selects items from a list that meet a condition
D. Adds all items in a list together

Solution

  1. Step 1: Understand the purpose of filter()

    The filter() function takes a function and a list, then keeps only items where the function returns True.
  2. Step 2: Compare options with the purpose

    Only Selects items from a list that meet a condition describes selecting items based on a condition, which matches filter()'s job.
  3. Final Answer:

    Selects items from a list that meet a condition -> Option C
  4. Quick Check:

    filter() selects items [OK]
Hint: Remember: filter keeps items passing the test [OK]
Common Mistakes:
  • Thinking filter changes items instead of selecting
  • Confusing filter with map or sort
  • Assuming filter adds or combines items
2. Which of these is the correct syntax to use filter() to keep even numbers from a list nums?
easy
A. filter(lambda x: x % 2 == 0, nums)
B. filter(nums, lambda x: x % 2 == 0)
C. filter(x % 2 == 0, nums)
D. filter(lambda x: nums % 2 == 0)

Solution

  1. Step 1: Recall filter() syntax

    The correct syntax is filter(function, iterable), where function tests each item.
  2. Step 2: Check each option

    filter(lambda x: x % 2 == 0, nums) uses lambda x: x % 2 == 0 as function and nums as iterable, which is correct.
  3. Final Answer:

    filter(lambda x: x % 2 == 0, nums) -> Option A
  4. Quick Check:

    filter(function, iterable) correct order [OK]
Hint: filter(function, iterable) order matters [OK]
Common Mistakes:
  • Swapping function and iterable arguments
  • Using expression instead of function
  • Missing lambda or function for filtering
3. What is the output of this code?
nums = [1, 2, 3, 4, 5]
even_nums = list(filter(lambda x: x % 2 == 0, nums))
print(even_nums)
medium
A. [1, 3, 5]
B. [2, 4]
C. [1, 2, 3, 4, 5]
D. []

Solution

  1. Step 1: Understand the filter condition

    The lambda function keeps numbers where x % 2 == 0, meaning even numbers.
  2. Step 2: Apply filter to the list

    From [1, 2, 3, 4, 5], only 2 and 4 are even, so the filtered list is [2, 4].
  3. Final Answer:

    [2, 4] -> Option B
  4. Quick Check:

    Filter keeps even numbers [OK]
Hint: Filter keeps items where function returns True [OK]
Common Mistakes:
  • Confusing even and odd numbers
  • Forgetting to convert filter to list
  • Expecting original list unchanged
4. Find the error in this code snippet:
nums = [10, 15, 20]
result = filter(x % 10 == 0, nums)
print(list(result))
medium
A. Wrong variable name 'nums'
B. No error, code runs fine
C. filter() cannot be converted to list
D. Missing lambda function for filter

Solution

  1. Step 1: Check filter function argument

    The first argument to filter() must be a function, but x % 10 == 0 is an expression, not a function.
  2. Step 2: Identify fix

    We need to wrap the expression in a lambda: lambda x: x % 10 == 0 to make it a function.
  3. Final Answer:

    Missing lambda function for filter -> Option D
  4. Quick Check:

    filter needs a function as first argument [OK]
Hint: filter needs a function, use lambda for expressions [OK]
Common Mistakes:
  • Passing expression instead of function
  • Assuming filter returns list directly
  • Ignoring syntax errors in lambda usage
5. You have a list of words: words = ['apple', '', 'banana', None, 'cherry', '']. Which code correctly filters out empty strings and None values using filter()?
hard
A. list(filter(lambda w: w, words))
B. list(filter(lambda w: w == '', words))
C. list(filter(lambda w: w is None, words))
D. list(filter(lambda w: w != None or w != '', words))

Solution

  1. Step 1: Understand filtering out empty and None

    Empty strings and None are 'falsy' in Python, so lambda w: w keeps only truthy values.
  2. Step 2: Check each option

    list(filter(lambda w: w, words)) keeps only truthy values, removing empty strings and None. Options B and C keep only empty or None, which is opposite. list(filter(lambda w: w != None or w != '', words)) uses wrong logic and keeps all.
  3. Final Answer:

    list(filter(lambda w: w, words)) -> Option A
  4. Quick Check:

    filter with lambda w: w removes falsy values [OK]
Hint: Use lambda x: x to remove falsy values [OK]
Common Mistakes:
  • Using wrong condition to keep empty or None
  • Using 'or' instead of 'and' in condition
  • Expecting filter to remove without function