Python 使用 Numpy 查找输入数字集的均值、中值、众数或范围
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Using Numpy to find Mean,Median,Mode or Range of inputted set of numbers
提问by Hartbypass
I am creating a program to find Mean,Median,Mode, or Range. When I run this it works fine until it gets to the part of calculating the answer. It gives me a "cannot preform reduce with flexible type" error. I have searched this error but could not find what I needed to fix. This is my first time using numpy so any help would be great.
我正在创建一个程序来查找均值、中值、众数或范围。当我运行它时，它工作正常，直到它进入计算答案的部分。它给了我一个“不能用灵活类型减少预成型”的错误。我搜索了这个错误，但找不到我需要修复的内容。这是我第一次使用 numpy，所以任何帮助都会很棒。
import sys
import numpy as np
welcomeString = input("Welcome to MMMR Calculator\nWhat would you like to calculate(Mean,Median,Mode,Range):")
if welcomeString.lower() == "mean":
meanNumbers = input("What numbers would you like to use?:")
print (np.average(meanNumbers))
stop = input()
if welcomeString.lower() == "median":
medianNumbers = input("What numbers would like to use?:")
print (np.median(medianNumbers))
stop = input()
if welcomeString.lower() == "mode":
modeNumbers = input("What numbers would you like to use?:")
print (np.mode(modeNumbers))
stop = input()
if welcomeString.lower() == "range":
rangeNumbers = input("What numbers would you like to use?:")
print (np.arange(rangeNumbers))
stop = input()
采纳答案by Sukrit Kalra
You are passing a string to the functions which is not allowed.
您正在将字符串传递给不允许的函数。
>>> meanNumbers = input("What numbers would you like to use?:")
What numbers would you like to use?:1 2 3 4 5 6
>>> np.average(meanNumbers)
#...
TypeError: cannot perform reduce with flexible type
You need to make an array or a list out of them.
你需要用它们制作一个数组或一个列表。
>>> np.average(list(map(float, meanNumbers.split())))
3.5
IF you're seperating the elements by commas, split on the commas.
如果您用逗号分隔元素，请在逗号上拆分。
>>> np.average(list(map(float, meanNumbers.split(','))))
? ? 3.5
回答by SethMMorton
This is not an answer (see @Sukrit Kalra's response for that), but I see an opportunity to demonstrate how to write cleaner code that I cannot pass up. You have a large amount of code duplication that will result in difficult to maintain code in the future. Try this instead:
这不是答案（请参阅@Sukrit Kalra 对此的回应），但我看到了一个机会来演示如何编写我不能错过的更清晰的代码。您有大量的代码重复，这将导致将来难以维护代码。试试这个：
import sys
import numpy as np
welcomeString = input("Welcome to MMMR Calculator\nWhat would you like to calculate(Mean,Median,Mode,Range):")
welcomeString = welcomeString.lower() # Lower once and for all
# All averages need to do this
numbers = input("What numbers would you like to use?:")
numbers = list(map(float, numbers.split(','))) # As per Sukrit Kalra's answer
# Use a map to get the function you need
average_function = { "mean": np.average,
"median": np.median,
"mode": np.mode,
"range": np.arange,
}
# Print the result of the function by passing in the
# pre-formatted numbers from input
try:
print (average_function[welcomeString](numbers))
except KeyError:
sys.exit("You entered an invalid average type!")
input() # Remove when you are done with development
