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@ -71,7 +71,8 @@ f = np.fft.fftfreq(Fe,tstep) #axe des abscisses: fréquence
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#Définition des courbes des plots
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#Définition des courbes des plots
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ax1.plot(t,y) # print y(t)
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ax1.plot(t,y) # print y(t)
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ax2.plot(f,abs(sp))
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ax2.plot(f,abs(sp))#ax1 = plt.axes()
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#Lancement de l'affichage du plot
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#Lancement de l'affichage du plot
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plt.show()
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plt.show()
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@ -1,3 +1,4 @@
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from asyncore import read
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import math
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import math
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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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@ -8,25 +9,13 @@ 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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csv_reader1 = csv.reader(open('../RawDataFiles/RawData1.csv')) #Ouvre le fichier .csv
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with open('../RawDataFiles/RawData1.csv', 'r') as f:
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capteurs = []
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data = csv.reader(f, quoting = csv.QUOTE_MINIMAL)
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for lign in data:
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print(lign)
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print("\n")
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for ligne in csv_reader1:
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capteurs.append(ligne)
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x = []
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y = []
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for capteur in capteurs:
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x.append(capteur[0])
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y.append(capteur[1])
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# fig1, (ax1, ax2) = plt.subplots(2, 1)
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# fig1 = plt.figure(1, figsize = (5.91, 2.758))
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# ax1 = fig1
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np.empty([8, 500])
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np.array([[]])
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plt.xlabel('Temps')
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plt.xlabel('Temps')
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plt.ylabel('Tension')
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plt.ylabel('Tension')
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