Reputation: 3241
How to return False
if all elements are in a list are False
?
The given list is:
data = [False, False, False]
Upvotes: 139
Views: 206231
Reputation: 907
True
and False
are the Boolean representations of 0 and 1.
True
= 1 and False
= 0
data = [False, False, False]
if sum(data) == 0:
return False
if sum(data) == len(data):
return True
sum(data)
represents the addition of 1
and 0
with respective values of True(1) and False(0) in a list.
In the case of all False
sum is 0,
and in the case of all True` sum is equal to the length of the list.
Any other sum values would mean not all is False or True.
Upvotes: 6
Reputation: 1
We all know that False
is also considered 0
, So if sum
of all elements is 0
, which means all elements within list are False
.
But since you want:
to return 'false' because all elements are 'false'
To do that use negation operator not
or !
.
data = [False, False, False]
print(sum(data)!=0) #False
Upvotes: 2
Reputation: 9572
Here is another approach using the generator expression:
data = [False, False, False]
try:
out = next(elt for elt in data if elt) # holds the value of first non-empty element
except StopIteration:
print("all elements are empty")
data = [[], [], [1], [2]]
try:
out = next(elt for elt in data if elt) # [1]
except StopIteration:
print("all elements are empty")
Upvotes: 1
Reputation: 722
Basically there are two functions that deal with an iterable and return True or False depending on which boolean values elements of the sequence evaluate to.
all(iterable)
returns True if all elements of the iterable
are considered as true values (like reduce(operator.and_, iterable)
).
any(iterable)
returns True if at least one element of the iterable
is a true value (again, using functional stuff, reduce(operator.or_, iterable)
).
Using the all
function, you can map operator.not_
over your list or just build a new sequence with negated values and check that all the elements of the new sequence are true:
>>> all(not element for element in data)
With the any
function, you can check that at least one element is true and then negate the result since you need to return False
if there's a true element:
>>> not any(data)
According to De Morgan's law, these two variants will return the same result, but I would prefer the last one (which uses any
) because it is shorter, more readable (and can be intuitively understood as "there isn't a true value in data") and more efficient (since you don't build any extra sequences).
Upvotes: 53