112 lines
3.8 KiB
Python
112 lines
3.8 KiB
Python
from pickletools import long1
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from secrets import choice
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from turtle import goto
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import numpy as np
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import matplotlib.pyplot as plt
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import csv
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#"C:\Users\quent\OneDrive\Bureau\ENSC\TransD\Framboisier\02400001.TXT"
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#! /usr/bin/env python3
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# -*- coding: UTF-8 -*-
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# x = tab[:,0]
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# y = tab[:,1]
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# print(tab)
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# return x , y
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#fonction choix du capteur à afficher :
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#bool true si capteur veux être utiliser sinon false (tableau)
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def function():
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while True:
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print("\n")
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choice = input("(1) Choisis un fichier csv de 1 à 1862: ")
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print("\n")
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if float(choice) in range(1, 1863):
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rawdata = '../RawDataFiles/RawData' + choice + '.csv' #Définit le fichier à ouvrir
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choice2 = input("(2) Choisir un capteur à afficher en particulier dans le tableau? oui/non \n")
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print("\n")
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if choice2 == "oui":
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while True:
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ccapteur = int(input("(3) Choisis parmis les capteurs (1, 2, 3, 4, 5, 6, 7, 8): "))
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print("\n")
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if ccapteur in (1,2,3,4,5,6,7,8): #Affiche le capteur sélectionner
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with open(rawdata, newline='') as csvfile:
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reader = csv.reader(csvfile, quoting=csv.QUOTE_NONNUMERIC)
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x = [row for row in reader]
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int_x = np.array(x, int)
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column_index = [ccapteur + 1]
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for col in column_index:
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column_values = np.empty(0)
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for array in range(len(int_x)):
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column_values = np.append(column_values, np.array(int_x[array][col-1]))
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plt.plot(column_values)
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plt.show()
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exit()
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elif ccapteur != (1,2,3,4,5,6,7,8):
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print("{} n'est pas un nombre valide.\n".format(int(ccapteur)))
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elif choice2 == "non": #Ouvre le csv file et affiche tout les capteurs
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with open(rawdata, newline='') as csvfile:
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reader = csv.reader(csvfile, quoting=csv.QUOTE_NONNUMERIC)
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x = [row for row in reader]
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int_x = np.array(x, int)
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column_index = [2,3,4,5,6,7,8,9]
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for col in column_index:
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column_values = np.empty(0)
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for array in range(len(int_x)):
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column_values = np.append(column_values, np.array(int_x[array][col-1]))
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plt.plot(column_values)
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plt.show()
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break
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elif choice > '1862' or choice < '1':
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print("{} n'est pas un nombre valide.\n".format(choice))
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#Fonction d'affichage du graphique
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def printFig(axe_x , axe_y , title = "new plot" , xlabel = "Temps" , ylabel = "Tension"):
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plt.plot(axe_x , axe_y)
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plt.xlabel(xlabel)
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plt.ylabel(ylabel)
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plt.title(title)
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plt.show()
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return 0
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#print(x)
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#print("y = " + str(y))
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def final():
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function()
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#printFig()
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final()
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def function():
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for i in range(1, 10):
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rawdata = 'Code-C/RawDataFiles/RawData' + str(i) + '.csv' #Définit le fichier à ouvrir
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with open(rawdata, newline='') as csvfile:
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reader = csv.reader(csvfile, quoting=csv.QUOTE_NONNUMERIC)
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x = [row for row in reader]
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int_x = np.array(x, int)
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for j in range(1,len(int_x[0])):
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aver = average(int_x[:,j])
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print("I = " , i ," J = " ,j ," aver = " , aver , '\0')
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def average(x):
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res = 0
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for i in range(len(x)):
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res += x[i]
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return res / len(x)
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function()
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