import math
import numpy as np
import matplotlib.pyplot as plt
import struct
import csv
import sys

#"C:\Users\quent\OneDrive\Bureau\ENSC\TransD\Framboisier\02400001.TXT"
#! /usr/bin/env python3
# -*- coding: UTF-8 -*-

csv_reader1 = csv.reader(open('./RawDataFiles/RawData1.csv')) #Ouvre le fichier .csv
# bigx = float(-sys.maxsize-1)
# bigy = float(-sys.maxsize-1)
# smallx = float(sys.maxsize)
# smally = float(sys.maxsize)
capteurs = []

# for ligne in csv_reader1:
#     capteurs.append(ligne)
#     if float(ligne[0]) > bigx:
#         bigx = float(ligne[0])
#     if float(ligne[1]) > bigy:
#         bigy = float(ligne[1])
#     if float(ligne[0]) < smallx:
#         smallx = float(ligne[0])
#     if float(ligne[1]) < smally:
#         smally = float(ligne[1])

# capteurs.sort()
x_arr = []
y_arr = []

for capteur in capteurs:
    x_arr.append(capteur[0])
    y_arr.append(capteur[1])

fig1 = plt.figure(1, figsize = (5.91, 2.758))
ax1 = plt.axes()
# fig2 = plt.figure(1, figsize = (5.91, 2.758))
# fig3 = plt.figure(1, figsize = (5.91, 2.758))
# fig4 = plt.figure(1, figsize = (5.91, 2.758))
# fig5 = plt.figure(1, figsize = (5.91, 2.758))
# fig6 = plt.figure(1, figsize = (5.91, 2.758))
# fig7 = plt.figure(1, figsize = (5.91, 2.758))
# fig8 = plt.figure(1, figsize = (5.91, 2.758))
# fig9 = plt.figure(1, figsize = (5.91, 2.758))
# fig10 = plt.figure(1, figsize = (5.91, 2.758))

ax1.set_xlabel('Temps')
ax1.set_ylabel('Tension')
ax1.title("Données tableau 1")
ax1.plot(x_arr, y_arr, color = 'r')

plt.show() #Affiche le tableau à l'écran