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()
Pandas DataFrame median() Method The median() method returns a Series with the median value of each column. Mean, Median, and Mode: Mean - The average value. Median - The mid point value.
stats package. Note : To apply mode we need to create an array. In python, we can create an array using numpy package. So first we need to create an array using numpy package and apply mode() function on that array.
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
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
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