55 lines
1.5 KiB
Python
55 lines
1.5 KiB
Python
import math
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import numpy as np
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import matplotlib.pyplot as plt
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import struct
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import csv
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import sys
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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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csv_reader1 = csv.reader(open('./RawDataFiles/RawData1.csv')) #Ouvre le fichier .csv
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# bigx = float(-sys.maxsize-1)
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# bigy = float(-sys.maxsize-1)
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# smallx = float(sys.maxsize)
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# smally = float(sys.maxsize)
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capteurs = []
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# for ligne in csv_reader1:
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# capteurs.append(ligne)
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# if float(ligne[0]) > bigx:
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# bigx = float(ligne[0])
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# if float(ligne[1]) > bigy:
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# bigy = float(ligne[1])
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# if float(ligne[0]) < smallx:
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# smallx = float(ligne[0])
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# if float(ligne[1]) < smally:
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# smally = float(ligne[1])
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# capteurs.sort()
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x_arr = []
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y_arr = []
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for capteur in capteurs:
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x_arr.append(capteur[0])
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y_arr.append(capteur[1])
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fig1 = plt.figure(1, figsize = (5.91, 2.758))
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ax1 = plt.axes()
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# fig2 = plt.figure(1, figsize = (5.91, 2.758))
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# fig3 = plt.figure(1, figsize = (5.91, 2.758))
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# fig4 = plt.figure(1, figsize = (5.91, 2.758))
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# fig5 = plt.figure(1, figsize = (5.91, 2.758))
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# fig6 = plt.figure(1, figsize = (5.91, 2.758))
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# fig7 = plt.figure(1, figsize = (5.91, 2.758))
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# fig8 = plt.figure(1, figsize = (5.91, 2.758))
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# fig9 = plt.figure(1, figsize = (5.91, 2.758))
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# fig10 = plt.figure(1, figsize = (5.91, 2.758))
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ax1.set_xlabel('Temps')
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ax1.set_ylabel('Tension')
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ax1.title("Données tableau 1")
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ax1.plot(x_arr, y_arr, color = 'r')
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plt.show() #Affiche le tableau à l'écran |