statistics.py

import pandas as pd
import matplotlib.pyplot as plt
from pyautogui import prompt, confirm
def math(df,y):
    print(''' Please select a number from list:
    1) Standard Deviation \t 2) Mean
    3) Variance           \t4) Median
    5) Mode               \t6) Range
    7) Quartile1          \t8) Quartile3
                   9) All
    ''')
    print('\n')
    me = input('Please enter a number: ')
    if me == '1':
        # standard deviation
        std = df[y].std()
        print( 'Standard deviation of the data is ' + str(std))
    if me == '2':
        # mean
        mean = df[y].mean()
        print('Mean of the data is ' + str(mean))
    if me == '3':
        # variance
        var = df[y].var()
        print('Variance of the data is ' + str(var))
    if me == '4':
        # median
        median = df[y].median()
        print('Median of the data is ' + str(median))
    if me == '5':
        # mode
        mode = df[y].mode()
        print('Mode of the data is ' + str(mode))
    if me == '6':
        # range
        range = df[y].max() - df[y].min()
        print('Range of the data is ' + str(range))
    if me == '7':
        # quartile1
        q1 = df[y].quantile(0.25)
        print('Quartile1 of the data is ' + str(q1))
    if me == '8':
        # quartile3
        q3 = df[y].quantile(0.75)
        print( 'Quartile3 of the data is ' + str(q3))
    if me == '9':
        # all
        print('''
        Standard deviation of the data is {} \n
        Mean of the data is {} \n
        Variance of the data is {} \n
        Median of the data is {} \n
        Mode of the data is {} \n
        Range of the data is {} \n
        Quartile1 of the data is {} \n
        Quartile3 of the data is {} \n
        '''.format(df[y].std(),df[y].mean(),df[y].var(),df[y].median(),df[y].mode(),df[y].max() - df[y].min(),df[y].quantile(0.25),df[y].quantile(0.75)))