CODEWITHSUNDEEP
pythonnumpy
Hartbypass
Hartbypass

Reputation: 75

Using Numpy to find Mean,Median,Mode or Range of inputted set of numbers

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. 

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()

Upvotes: 7

Views: 26777

Answers (2)

SethMMorton
SethMMorton

Reputation: 48745

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:

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

Upvotes: 6

Sukrit Kalra
Sukrit Kalra

Reputation: 34493

You are passing a string to the functions which is not allowed.

>>> 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.

>>> np.average(list(map(float, meanNumbers.split())))
3.5

IF you're seperating the elements by commas, split on the commas.

>>> np.average(list(map(float, meanNumbers.split(','))))
    3.5

Upvotes: 7

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