def mean(numbers):

    numbers.sort()

    q = len(numbers) // 2

    if len(numbers) % 2 !=0:

        return numbers[q]

    elif len(V) % 2 == 0:

        return (numbers[q - 1] + numbers[q]) / 2

​

import statistics

​

a = [1,2,3,4,5]

​

mean = statistics.mean(a) 

#Similar for other values such as variance, standard deviation

def avrg(values): # where values is a list of all values

  return sum(values)/len(values)

def calculate_mean(n):

    s = sum(n)

    N = len(n)

    mean = s / N

    return mean

 avreage_cost = cost

    avg = sum(avreage)/len(avreage) 

    print("The average amout you spent is ", round(avg,2))

$ npm install sweetalert2

import numpy as np

values=[1,10,100]

print(np.mean(values))

values=[1,10,100,np.nan]

print(np.nanmean(values))

Swal.fire(

  'Data Add Successfully!',

  'You clicked the button!',

  'success'

)

Swal.fire(

  'Good job!',

  'You clicked the button!',

  'failed'

)