My mission is to create a function that return the minimum number from a list without using the min() function. When i run the following code, it return 0 instead of -1. I am not too sure why. Note: 1. fancy_min just returns the smaller number between the two parameters given. 2. If the list is empty or if the parameter is None, I want to return None.
def minimum_of(numbers):
mini = 99999999
if numbers == []:
return None
elif numbers is None:
return None
for i in range(len(numbers)-1):
m = fancy_min(numbers[i], numbers[i+1])
if m<mini:
return m
print(minimum_of([-1,3,None,2,1,]))
def fancy_min(a, b):
while a is None:
return b
while b is None:
return a
if a > b:
return b
elif b > a:
return a
Your code returns min of last two numbers. Try this:
def fancy_min(a, b):
if a is None:
return b
if b is None:
return a
if a > b:
return b
elif b > a:
return a
def minimum_of(numbers):
mini = 99999999
if numbers == []:
return None
elif None in numbers:
return None
for i in range(len(numbers)):
mini = fancy_min(numbers[i], mini)
return mini
You don't actually need two functions for this, and the None
list item constraint can be handled much more succinctly using the built-in function filter
.
def new_min(l=None):
if not l:
return None
m = None
for n in filter(lambda x: x is not None, l):
if (m is None) or (n < m):
m = n
return m
Running on example data:
new_min([-1,3,None,2,1,])
> -1
new_min([None, None]) is None
> True
new_min(None) is None
> True
new_min() is None
> True
If you want to dig a little deeper in the link above, you can also get the minimum this way (though this ignores the case where the argument itself is None
or contains no non- None
values):
reduce(
lambda a, b: a if (a < b) else b,
filter(lambda x: x is not None, l)
) or None
The technical post webpages of this site follow the CC BY-SA 4.0 protocol. If you need to reprint, please indicate the site URL or the original address.Any question please contact:yoyou2525@163.com.