A simple GUI dataset analyzer using Python tkinter

from statistics import *

from tkinter import Tk, Entry, Label, Frame, LabelFrame, Button, StringVar 

pr_wdg = Tk()

pr_wdg.geometry('1000x800+0+0')

pr_wdg.title("Fast Statistics")

#Signature

lblfrm_info = LabelFrame(pr_wdg,

                         text = "NOTE!", font = ('arial',15,'underline'))

lblfrm_info.grid(row = 0, column = 0)

lbl_infotxt = Label(lblfrm_info,

                    text = "This is a demo app.\nBy: Mohammed Ismail",

                    font = ('aerial',25,'italic'),

                    bg = 'black', fg = 'green')

lbl_infotxt.grid(row = 1, column = 1)

#Recieving dataset

frm_anz = Frame(pr_wdg)

frm_anz.grid(row = 2, column = 0)

lbl_dset = Label(frm_anz,

                 text = "Enter dataset: ", font =('arial',15,'bold'))

lbl_dset.grid(row = 0, column = 0)

dset = StringVar()

ent_dset =  Entry(frm_anz,

                  textvariable = dset,

                  font = ('arial',15,'italic'), fg = 'white',

                  bg = 'blue', width = 50)

ent_dset.grid(row = 0, column = 1)

inst_dset = Label(frm_anz,

                 text = "Data elements are separated by commas")

inst_dset.grid(row = 0, column = 2)

#Analyzing

dset_mean = StringVar()

dset_median = StringVar()

dset_mode = StringVar()

dset_median_hi = StringVar()

dset_median_lo = StringVar()

def analyze():

    dset_list = list(map(float, dset.get().split(",")))

    dset_mean.set(mean(dset_list))

    dset_median.set(median(dset_list))

    dset_median_hi.set(median_high(dset_list))

    dset_median_lo.set(median_low(dset_list))

    try : dset_mode.set(mode(dset_list))

    except : dset_mode.set("No mode!")

    

    

  

btn_anz = Button(frm_anz,

                 text = "Analyze", bg = 'powder blue',

                 command = analyze)

btn_anz.grid(row = 2, column = 1)

#Caculate mean

lblt_mean = Label(frm_anz,

                 text = "Mean: ", font =('arial',15,'bold'))

lblt_mean.grid(row = 4, column = 0)

lbl_mean =  Label(frm_anz,

                  textvariable = dset_mean,

                  font = ('arial',15), fg = 'yellow',

                  bg = 'green', width = 25)

lbl_mean.grid(row = 4, column = 1)

#Caculate median

lblt_median = Label(frm_anz,

                 text = "Median: ", font =('arial',15,'bold'))

lblt_median.grid(row = 5, column = 0)

lbl_median =  Label(frm_anz,

                  textvariable = dset_median,

                  font = ('arial',15), fg = 'yellow',

                  bg = 'green', width = 25)

lbl_median.grid(row = 5, column = 1)

#Caculate mode

lblt_mode = Label(frm_anz,

                 text = "Mode: ", font =('arial',15,'bold'))

lblt_mode.grid(row = 6, column = 0)

lbl_mode =  Label(frm_anz,

                  textvariable = dset_mode,

                  font = ('arial',15), fg = 'yellow',

                  bg = 'green', width = 25)

lbl_mode.grid(row = 6, column = 1)

#Caculate high median

lblt_himed = Label(frm_anz,

                 text = "High median: ", font =('arial',15,'bold'))

lblt_himed.grid(row = 7, column = 0)

lbl_himed =  Label(frm_anz,

                  textvariable = dset_median_hi,

                  font = ('arial',15), fg = 'yellow',

                  bg = 'green', width = 25)

lbl_himed.grid(row = 7, column = 1)

#Caculate low median

lblt_lomed = Label(frm_anz,

                 text = "Low median: ", font =('arial',15,'bold'))

lblt_lomed .grid(row = 8, column = 0)

lbl_lomed =  Label(frm_anz,

                  textvariable = dset_median_lo,

                  font = ('arial',15), fg = 'yellow',

                  bg = 'green', width = 25)

lbl_lomed.grid(row = 8, column = 1)

#------Terminating----|

pr_wdg.mainloop()