Function to trim a list and calculate mean of remaining numbers
Question:
I need a function that takes a list of numbers as the input and an optional integer keyword argument trim (that takes on values of 0 or larger).
- I want to remove the largest and smallest numbers from the list
and
- Return the mean of the numbers left.
However, I keep getting errors. I am a beginner and have no clue how to fix it.
Here is what I have tried:
def trimmed_mean (lst, trim):
trimmed_mean.sort()
if trimmed_mean.remove(max) and trimmed_mean.remove(min):
return trimmed_mean
else:
return None
Could someone please help me find my mistake, please? Thanks!
Answers:
You have a few errors here.
In your first line, you have a space between the name of your function trimmed_mean
and its parameters. It should read:
def trimmed_mean(lst, trim):
Additionally, your actual function logic doesn’t make much sense. Instead, it should read:
lst.remove(max(lst))
lst.remove(min(lst))
return sum(lst)/len(lst)
This will return what you want, though with a dummy parameter trim
that doesn’t do anything unless I misunderstood your intention.
First, you should call the list methods on lst
, not the function name. Second, min()
and max()
are built-in functions, and require an iterable as parameter. However, you wouldn’t need them since your list is already sorted and has the minimal and maximal values at each end:
def trimmed_mean(lst, trim):
if len(lst) < 3: # guard clause if trimmed list would be empty
return None
lst = sorted(lst)[1:-1] # sort list and splice from second index to second-to-last index
return sum(lst)/len(lst) # calculate and return mean
Good to mention: lst.sort()
sorts the list in place and doesn’t return anything. sorted(lst)
returns the sorted list and doesn’t affect the original.
Without sorting, you can use the min()
and max()
functions like so:
def trimmed_mean(lst, trim):
if len(lst) < 3: # guard clause if trimmed list would be empty
return None
lst.remove(min(lst))
lst.remove(max(lst))
return sum(lst)/len(lst)
Finally, if the trim
parameter indicates the number of minimal and maximal values to be trimmed, I would use this function:
def trimmed_mean(lst, trim):
if len(lst) < (trim*2)+1: # guard clause if trimmed list would be empty
return None
lst = sorted(lst)[trim:-trim] # sort list and splice from second index to second-to-last index
return sum(lst)/len(lst) # calculate and return mean
And analogously for the min()
, max()
solution:
def trimmed_mean(lst, trim):
if len(lst) < (trim*2)+1: # guard clause if trimmed list would be empty
return None
for _ in range(trim):
lst.remove(min(lst))
lst.remove(max(lst))
return sum(lst)/len(lst)
You can make a correction on your code by taking lst
in place of trimmed_mean
as it is a function name not the list itself, and as trim
is an optional parameter you can pass like =0
to set 0 as default, please find the modified code:
def trimmed_mean (lst, trim=0):
lst.sort()
if len(lst)<3: return 0
return sum(lst[1:-1])/(len(lst)-2)
You can adjust the calculation of the mean without removing the highest and lowest value.
If your list has N numbers, the adjusted mean will be
( (∑ numbers) – minimum – maximum) / (N-2)
Assuming the list has 3 or more items, you only need to find the maximum and minimum values:
minimum = min(lst)
maximum = max(lst)
mean = ( sum(lst) - minimum - maximum ) / (len(lst) - 2)
Trimming the list (your second parameter) is somewhat unclear to me but if the purpose is to only compute the mean of numbers that are smaller than this value, you can filter the list using a list comprehension before performing the calculations:
lst = [n for n in lst if n<trim]
from statistics import mean #import a package
list_of_nums = list() #creating a list
running = True #our key for stopping or repeating loop
while running == True: #while we let the loop repeat
client_input = float(input("Enter your number: ")) #getting a number
list_of_nums.append(client_input) #adding the number to the list
print(f"your current list ==> {list_of_nums}") #showing new list
ask = input("do you want to continue? (any button,n)") #asking for continue
ask = ask.lower() #make the answer lowercase for preventing from bug
if ask == "n": #if user doesn't want to continue
max_num = max(list_of_nums) #getting Maximum value
min_num = min(list_of_nums) #getting Minimum value
list_of_nums.remove(max_num) #removing maximum value of the list
list_of_nums.remove(min_num) #removing minimum value of the list
list_of_nums.sort() #sorting list
print(f"{max_num} and {min_num} removed from the list as maximum and minimum values.nYour new list is {list_of_nums}nMean of the list is {mean(list_of_nums)}") #print mean of the list and other info.
running = False #preventing from repeating
this is what i wrote that contains removing maximum and minimum value and mean of last numbers.
I need a function that takes a list of numbers as the input and an optional integer keyword argument trim (that takes on values of 0 or larger).
- I want to remove the largest and smallest numbers from the list
and - Return the mean of the numbers left.
However, I keep getting errors. I am a beginner and have no clue how to fix it.
Here is what I have tried:
def trimmed_mean (lst, trim):
trimmed_mean.sort()
if trimmed_mean.remove(max) and trimmed_mean.remove(min):
return trimmed_mean
else:
return None
Could someone please help me find my mistake, please? Thanks!
You have a few errors here.
In your first line, you have a space between the name of your function trimmed_mean
and its parameters. It should read:
def trimmed_mean(lst, trim):
Additionally, your actual function logic doesn’t make much sense. Instead, it should read:
lst.remove(max(lst))
lst.remove(min(lst))
return sum(lst)/len(lst)
This will return what you want, though with a dummy parameter trim
that doesn’t do anything unless I misunderstood your intention.
First, you should call the list methods on lst
, not the function name. Second, min()
and max()
are built-in functions, and require an iterable as parameter. However, you wouldn’t need them since your list is already sorted and has the minimal and maximal values at each end:
def trimmed_mean(lst, trim):
if len(lst) < 3: # guard clause if trimmed list would be empty
return None
lst = sorted(lst)[1:-1] # sort list and splice from second index to second-to-last index
return sum(lst)/len(lst) # calculate and return mean
Good to mention: lst.sort()
sorts the list in place and doesn’t return anything. sorted(lst)
returns the sorted list and doesn’t affect the original.
Without sorting, you can use the min()
and max()
functions like so:
def trimmed_mean(lst, trim):
if len(lst) < 3: # guard clause if trimmed list would be empty
return None
lst.remove(min(lst))
lst.remove(max(lst))
return sum(lst)/len(lst)
Finally, if the trim
parameter indicates the number of minimal and maximal values to be trimmed, I would use this function:
def trimmed_mean(lst, trim):
if len(lst) < (trim*2)+1: # guard clause if trimmed list would be empty
return None
lst = sorted(lst)[trim:-trim] # sort list and splice from second index to second-to-last index
return sum(lst)/len(lst) # calculate and return mean
And analogously for the min()
, max()
solution:
def trimmed_mean(lst, trim):
if len(lst) < (trim*2)+1: # guard clause if trimmed list would be empty
return None
for _ in range(trim):
lst.remove(min(lst))
lst.remove(max(lst))
return sum(lst)/len(lst)
You can make a correction on your code by taking lst
in place of trimmed_mean
as it is a function name not the list itself, and as trim
is an optional parameter you can pass like =0
to set 0 as default, please find the modified code:
def trimmed_mean (lst, trim=0):
lst.sort()
if len(lst)<3: return 0
return sum(lst[1:-1])/(len(lst)-2)
You can adjust the calculation of the mean without removing the highest and lowest value.
If your list has N numbers, the adjusted mean will be
( (∑ numbers) – minimum – maximum) / (N-2)
Assuming the list has 3 or more items, you only need to find the maximum and minimum values:
minimum = min(lst)
maximum = max(lst)
mean = ( sum(lst) - minimum - maximum ) / (len(lst) - 2)
Trimming the list (your second parameter) is somewhat unclear to me but if the purpose is to only compute the mean of numbers that are smaller than this value, you can filter the list using a list comprehension before performing the calculations:
lst = [n for n in lst if n<trim]
from statistics import mean #import a package
list_of_nums = list() #creating a list
running = True #our key for stopping or repeating loop
while running == True: #while we let the loop repeat
client_input = float(input("Enter your number: ")) #getting a number
list_of_nums.append(client_input) #adding the number to the list
print(f"your current list ==> {list_of_nums}") #showing new list
ask = input("do you want to continue? (any button,n)") #asking for continue
ask = ask.lower() #make the answer lowercase for preventing from bug
if ask == "n": #if user doesn't want to continue
max_num = max(list_of_nums) #getting Maximum value
min_num = min(list_of_nums) #getting Minimum value
list_of_nums.remove(max_num) #removing maximum value of the list
list_of_nums.remove(min_num) #removing minimum value of the list
list_of_nums.sort() #sorting list
print(f"{max_num} and {min_num} removed from the list as maximum and minimum values.nYour new list is {list_of_nums}nMean of the list is {mean(list_of_nums)}") #print mean of the list and other info.
running = False #preventing from repeating
this is what i wrote that contains removing maximum and minimum value and mean of last numbers.