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115 lines
4.5 KiB
115 lines
4.5 KiB
from tkinter import *
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import tkinter as tk
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import matplotlib.pyplot as plt
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from matplotlib.pyplot import figure
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import numpy as np
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from matplotlib.figure import Figure
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from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
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fen = Tk()
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home = Frame()
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fen.title("Calculateur d'IMC")
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#taille de la fenetre
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fen.geometry("950x750")
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#image en fond
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#bg = PhotoImage(file = "fondec.png")
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#label1 = Label(fen, image = bg)
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#label1.place(x = 0, y = 0)
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#couleur de fond du canvas
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#fen.configure(bg="red")
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canvas=Canvas(fen, width=600, height=500, bg="blue") #canvas de droite
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canvas.grid(column=1,row=0) #son placement
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canvas2=Canvas(fen, width=225, height=500, bg="white") #canvas de gauche
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canvas2.grid(column=0, row=0) #son placement
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lbl1=Label(fen, text="votre poids (en kg)", font='Arial') #label poids
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lbl1.grid(column=0, columnspan=2, padx=10, pady=10, row=1)
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entree_kg = Entry(fen) #entry poids
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entree_kg.grid(column=0, columnspan=2,ipadx=50, padx=10, pady=10, row=2)
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lbl2=Label(fen, text="votre taille (en cm)", font='Arial') #label taille
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lbl2.grid(column=0, columnspan=2, padx=10, pady=10, row=3)
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entree_cm = Entry(fen) #entry taille
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entree_cm.grid(column=0, columnspan=2,ipadx=50, padx=10, pady=10, row=4)
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#photos
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image_norm = PhotoImage(file = 'normal.png')
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image_obes_s = PhotoImage(file = 'obesite severe.png')
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image_obes = PhotoImage(file = 'obesite.png')
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image_sousp = PhotoImage(file = 'sous poids.png')
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image_surpoids = PhotoImage(file = 'surpoids.png')
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#fonction qui affiche image imc+petite phrase
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def afficher_imc():
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taille = float(entree_cm.get())/100 #convertir cm en m
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poids= float(entree_kg.get())
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imc =float(poids/taille**2) #calcul imc
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if imc <=18.4:
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text=Label(fen, text="Vous êtes en sous-poids", font=('Arial'))
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text.grid(column=1, row=1, sticky="e", padx=10, pady=10)
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canvas2.create_image(40, 10,anchor=NW, image = image_sousp)
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if imc >=18.5 and imc<=24.9:
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text=Label(fen, text="Votre poids est normal", font=('Arial'))
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text.grid(column=1, row=1, sticky="e", padx=10, pady=10)
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canvas2.create_image(40,10,anchor=NW,image=image_norm)
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if imc >=25.0 and imc<=29.9:
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text=Label(fen, text="Vous êtes en sur poids", font=('Arial'))
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text.grid(column=1, row=1, sticky="e", padx=10, pady=10)
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canvas2.create_image(20, 20,anchor=NW, image = image_surpoids)
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if imc >=30.0 and imc<=34.9:
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#text= canvas.create_text(200,40,text="vous etes en obesité", font=('Helvetica','30',))
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text=Label(fen, text="Vous etes en obesité", font=('Arial'))
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text.grid(column=1, row=1, sticky="e", padx=10, pady=10)
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canvas2.create_image(10, 10,anchor=NW, image = image_obes)
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if imc >=35.0:
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text=Label(fen, text="Vous etes en obesité sévere", font=('Arial'))
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text.grid(column=1, row=1, sticky="e", padx=10, pady=10)
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canvas2.create_image(10, 10,anchor=NW, image = image_obes_s)
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lbl=Label(fen, text="Votre imc est de :", font='Arial')
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lbl.grid(column=0,row=1)
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lbl=Label(fen, text=imc, font='Arial') #afficher le resultat calcul imc
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lbl.grid(column=0, row=2)
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# graphique
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new_manager = plt.figure().canvas.manager
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fig=new_manager.canvas.figure
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fig.set_canvas(new_manager.canvas)
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x = np.linspace(100, 220) # les tailles extrèmes en cm
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# cm//m
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plt.fill_between(x, 0, 18.4 * (x/100)**2, label="sous poids",color="LightBlue") # sous poids si 0 <= y <= 18.4 * x²
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plt.fill_between(x, 18.5 * (x/100)**2, 24.9 * (x/100)**2, label="poids idéal",color="green") # idéal si 18.5 * x² <= y <= 24.9 * x²
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plt.fill_between(x, 25 * (x/100)**2, 29.9 * (x/100)**2, label="surpoids",color="yellow") # surpoids si 25 * x² <= y <= 29.9 * x²
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plt.fill_between(x, 30 * (x/100)**2, 34.9 * (x/100)**2, label="obesité",color="orange") # obésité si 30 * x² <= y <= 34.9 * x²
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#plt.fill_between(x, 35 * (x/100)**2, 80 * (x/100)**2, label="obesité sévère",color="red") # obesité sevère si 35 * x² <= y
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#plt.scatter(entree_cm.get(), poids, color='gray') point a placer sur le graphique
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plt.xlabel('Taille (cm)')
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plt.ylabel('Poids (kg)')
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plt.title('IMC')
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plt.show()
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bouton=Button(fen, text="Afficher l'IMC", command=afficher_imc)
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bouton.grid(column=0, columnspan=2,ipadx=50, padx=10, pady=10, row=6)
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fen.mainloop()
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