Added option to choose rawdata used
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@ -1,5 +1,5 @@
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from asyncore import read
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import math
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import math
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from secrets import choice
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import numpy as np
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import numpy as np
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import matplotlib.pyplot as plt
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import matplotlib.pyplot as plt
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import struct
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import struct
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@ -9,18 +9,39 @@ import csv
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#! /usr/bin/env python3
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#! /usr/bin/env python3
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# -*- coding: UTF-8 -*-
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# -*- coding: UTF-8 -*-
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def tab():
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tab = np.zeros([1,9])
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with open('../RawDataFiles/RawData1.csv', 'r') as f:
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data = csv.reader(f, quoting = csv.QUOTE_MINIMAL)
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data2 = [data2 for data2 in data]
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data_array = np.asarray(data2)
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print(data_array[:,5])
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def graph():
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#def tab_choix():
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plt.xlabel('Temps')
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while True:
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plt.ylabel('Tension')
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choice = input("Choisis un fichier csv de 1 à 1862: \n")
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plt.title("Données tableau 1")
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plt.plot(x, y, color = 'r')
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plt.show() #Affichage du plot
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tab()
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if float(choice) in range(1, 1863):
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rawdata = '../RawDataFiles/RawData' + choice + '.csv'
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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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for row in reader:
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t = np.zeros([1,9])
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t[0] = row
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tab = np.append(tab ,t , axis = 0)
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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.".format(choice))
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break
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x = tab[:,0]
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y = tab[:,1]
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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(tab)
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#print(x)
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#print("y = " + str(y))
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printFig(x,y)
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