Python all()

boolean_list = ['True', 'True', 'True']

# check if all elements are true
result = all(boolean_list)
print(result)

# Output: True

all() Syntax

The syntax of the all() function is:

all(iterable)

all() Parameters

The all() function takes a single parameter:

• iterable - any iterable (list, tuple, dictionary, etc.) which contains the elements

all() Return Value

all() function returns:

• True - If all elements in an iterable are true
• False - If any element in an iterable is false

Note: Truthy values include non-zero numbers, non-empty sequences, and True. Falsy values include 0, None, False, and empty sequences.

Example 1: How all() works for lists?

# all values true
l = [1, 3, 4, 5]
print(all(l))

# all values false
l = [0, False]
print(all(l))

# one false value
l = [1, 3, 4, 0]
print(all(l))

# one true value
l = [0, False, 5]
print(all(l))

# empty iterable
l = []
print(all(l))

Output

True
False
False
False
True

The all() function works in a similar way for tuples and sets like lists.

Example 2: How all() works for strings?

s = "This is good"
print(all(s))

# 0 is False
# '0' is True
s = '000'
print(all(s))

s = ''
print(all(s))

Output

True
True
True

Example 3: How all() works with Python dictionaries?

In the case of dictionaries, if all keys (not values) are true or the dictionary is empty, all() returns True. Else, it returns false for all other cases..

s = {0: 'False', 1: 'False'}
print(all(s))

s = {1: 'True', 2: 'True'}
print(all(s))

s = {1: 'True', False: 0}
print(all(s))

s = {}
print(all(s))

# 0 is False
# '0' is True
s = {'0': 'True'}
print(all(s))

Output

False
True
False
True
True

Also Read:

• Pandas all()