Python Built-in Methods – Python any() Function

Python any() Function

Determines whether any item in an iterable is True


The any() function returns True if any item in an iterable is True. Otherwise, it returns False.

If the iterable is empty, the function returns False.



Parameter Condition Description
iterable Required An iterable of type (list, string, tuple, set, dictionary etc.)

Falsy Values

In Python, all the following values are considered False.

  • Constants defined to be false: None and False.
  • Zero of any numeric type: 00.00jDecimal(0)Fraction(0, 1)
  • Empty sequences and collections: ''()[]{}set()range(0)

Basic Examples

# Check if any item in a list is True

L = [0, 0, 0]
print(any(L))   # Prints False

L = [0, 1, 0]
print(any(L))   # Prints True

Here are some scenarios where any() returns True.

L = [False, 0, 1]
print(any(L))   # Prints True

T = ('', [], 'green')
print(any(T))   # Prints True

S = {0j, 3+4j, 0.0}
print(any(S))   # Prints True

any() on a Dictionary

When you use any() function on a dictionary, it checks if any of the keys is true, not the values.

D1 = {0: 'Zero', 0: 'Nil'}
print(any(D1))   # Prints False

D2 = {'Zero': 0, 'Nil': 0}
print(any(D2))   # Prints True

any() on Empty Iterable

If the iterable is empty, the function returns False.

L = []
print(any(L))   # Prints False


Python Example for Beginners

Two Machine Learning Fields

There are two sides to machine learning:

  • Practical Machine Learning:This is about querying databases, cleaning data, writing scripts to transform data and gluing algorithm and libraries together and writing custom code to squeeze reliable answers from data to satisfy difficult and ill defined questions. It’s the mess of reality.
  • Theoretical Machine Learning: This is about math and abstraction and idealized scenarios and limits and beauty and informing what is possible. It is a whole lot neater and cleaner and removed from the mess of reality.

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