RawDataFiles changed, start of tab

This commit is contained in:
theo.canaud 2022-06-15 16:25:43 +02:00
parent a35e1a8adf
commit 7cc7533214
3 changed files with 19 additions and 38 deletions

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@ -57,7 +57,7 @@ void *threadCalculBoth(void *vargp){
fileName = queueGetTabChar(rawDataQueue);
power(fileName,nRow,nCol,period,invTimeBandWidth);
average(fileName,nRow,nCol);
remove(fileName);
//remove(fileName);
}
}
}

View file

@ -3,53 +3,34 @@ 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)
csv_reader1 = csv.reader(open('../RawDataFiles/RawData1.csv')) #Ouvre le fichier .csv
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])
for ligne in csv_reader1:
capteurs.append(ligne)
# capteurs.sort()
x_arr = []
y_arr = []
x = []
y = []
for capteur in capteurs:
x_arr.append(capteur[0])
y_arr.append(capteur[1])
x.append(capteur[0])
y.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))
# fig1, (ax1, ax2) = plt.subplots(2, 1)
# fig1 = plt.figure(1, figsize = (5.91, 2.758))
# ax1 = fig1
ax1.set_xlabel('Temps')
ax1.set_ylabel('Tension')
ax1.title("Données tableau 1")
ax1.plot(x_arr, y_arr, color = 'r')
np.empty([8, 500])
np.array([[]])
plt.show() #Affiche le tableau à l'écran
plt.xlabel('Temps')
plt.ylabel('Tension')
plt.title("Données tableau 1")
plt.plot(x, y, color = 'r')
plt.show() #Affichage du plot