Statistics Analysis - GitPress.io

Example Python program Statistics-Analysis.py

Modules

from tkinter import *
from tkinter import ttk
import tkinter.messagebox
import matplotlib.pyplot as plt
import matplotlib.pyplot as plt
from tkinter import messagebox
import numpy as np
import math
from statistics import *
import statistics as sd
from scipy import stats

Methods

def mean2():
def mode2():
def median():
def drow_histogram():
def drow_boxplot():
def sd2():
def personr_and_scatter_drow():

Code

Python tkinter example

from tkinter import *
from tkinter import ttk
import tkinter.messagebox
import matplotlib.pyplot as plt
import matplotlib.pyplot as plt
from tkinter import  messagebox
import numpy as np
import math
from statistics import *
import statistics as sd
from scipy import stats




root = Tk()
root.title('statistical analysis')

root.geometry('300x300+200+200')
#variables
mean_mode_median = StringVar()

histo = StringVar()

boxb=StringVar()

person_var1=StringVar()
person_var2=StringVar()
#functions
def mean2():
    s=list(map(int, mean_mode_median.get().split()))
    messagebox.showinfo("the mean is = ",np.mean(s))

def mode2():
    s=list(map(int, mean_mode_median.get().split()))
    messagebox.showinfo("the mode is =",mode(s))

def median():
    s=list(map(int, mean_mode_median.get().split()))
    messagebox.showinfo("the median is = ",np.median(s))

def drow_histogram():
    v=list(map(int, histo.get().split()))
    plt.hist(v)
    plt.show()

def drow_boxplot():
    v=list(map(int, boxb.get().split()))
    plt.boxplot(v)
    plt.show()
def sd2():
    v=list(map(int, mean_mode_median.get().split()))
    messagebox.showinfo("the Standard devision is = ",sd.stdev(v))
def personr_and_scatter_drow():
    v1=list(map(int, person_var1.get().split()))
    v2=list(map(int, person_var2.get().split()))
    r,p1=stats.pearsonr(v1, v2)
    messagebox.showinfo("the person r = ",r)
    plt.scatter(v1,v2)
    plt.show()


#buttons and text boxs
boxplot_tx = Entry(root,bg='gray',fg='blue',font='bold 10',textvariable=boxb).pack()
boxplot_B =ttk.Button(root,text="Box Plot",command=lambda :drow_boxplot()).pack()
hist_tx = Entry(root,bg='gray',fg='blue',font='bold 10',textvariable=histo)
hist_tx.pack()
hist_B = ttk.Button(root,text="Histogram",command=lambda :drow_histogram()).pack()
mean_median_mode2 = Entry(root,bg='gray',fg='blue',font='bold 10',textvariable=mean_mode_median)
mean_median_mode2.pack()
median_B = ttk.Button(root,text="Median",command=lambda :median()).pack()
mode_B = ttk.Button(root,text="Mode",command=lambda :mode2()).pack()
mean_B =ttk.Button(root,text="Mean",command=lambda :mean2()).pack()
sd_B=ttk.Button(root,text="Standard devision",command=lambda :sd2() ).pack()
rperson1_tx=Entry(root,bg='gray',fg='blue',font='bold 10',textvariable=person_var1).pack()
rperson2_tx=Entry(root,bg='gray',fg='blue',font='bold 10',textvariable=person_var2).pack()
rperson_B=ttk.Button(root,text="pearson r and scatter plot",command=lambda :personr_and_scatter_drow()).pack()
root.mainloop()

Useful Links

Articles: https://python-commandments.org/
Python shell: https://bsdnerds.org/learn-python/
Tutorial: https://pythonprogramminglanguage.com/