[英]Number values in a list greater than the average
Python: I am having trouble figuring out how to display a list of numbers that occur above the calculated average from a user-given list and any from that list that occurs over 90. this is what I have been working on so far. Python:我无法弄清楚如何显示出现在用户给定列表中的计算平均值之上的数字列表以及该列表中超过 90 的任何数字。这是我迄今为止一直在做的工作。 The average calculation works ok alone, its the addition of these two functions I can't work out.
平均计算单独工作正常,这两个函数的添加我无法解决。
from math import sqrt
def getNumbers():
nums = []
xStr = input("Enter a number (<Enter> to quit) >> ")
while xStr != "":
x = eval(xStr)
nums.append(x)
xStr = input("Enter a number (<Enter> to quit) >> ")
return nums
def mean(nums):
sum = 0.0
for num in nums:
sum = sum + num
return sum / len(nums)
def grt_mean(mean):
grt_mean_ls = nums []
for num in nums:
if num > mean:
grt_mean_ls = nums
nums.append(grt_mean_ls)
def above90(nums):
above_list = nums[]
for num in nums:
if num >90:
above_list = nums
nums.append(above_list)
def display(nums):
print(nums)
def main():
abmean = grt_mean(mean)
ab90 = above(nums)
data = getNumbers()
xbar = mean(data)
display(data)
print("\nThe mean is", xbar)
print("The numbers above 90 are: ab90")
print("the numbers above the average are:")
main()
You could use a list comprehension to check each value against your mean您可以使用列表理解来检查每个值与您的平均值
def mean(nums):
if len(nums) == 0:
return 0.0
return sum(nums) / len(nums)
def grt_mean(nums):
m = mean(nums)
return [i for i in nums if i > m]
For example例如
>>> nums = [1,2,3,4,5,6,7,8,9]
>>> mean(nums)
5.0
>>> grt_mean(nums)
[6, 7, 8, 9]
Same idea for "above 90" “90岁以上”的想法相同
def above90(nums):
return [i for i in nums if i > 90]
>>> above90([88, 89, 90, 91, 92, 93])
[91, 92, 93]
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