jumeaux-numeriques/twin_plot_qt.py

import sys
import random
import importlib
import matplotlib
import matplotlib.pyplot as plts
import csv
import xml.etree.ElementTree as ET # Creating/parsing XML file

matplotlib.use('Qt5Agg')
from PyQt5 import QtCore, QtGui, QtWidgets
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg, NavigationToolbar2QT as NavigationToolbar
import matplotlib.pyplot as plts

###############################################################################
# twin_plot_qt.py
# @title: Visualisation des données
# @project: Blender-EduTech
# @lang: fr
# @authors: Philippe Roy <philippe.roy@ac-grenoble.fr>
# @copyright: Copyright (C) 2023 Philippe Roy
# @license: GNU GPL
###############################################################################

# Lecture des configurations
twin_config = ET.parse('twin_config.xml').getroot()
plot_config_tree = ET.parse('plot_config.xml').getroot()
plot_config={}

###############################################################################
# Configuration des plots
###############################################################################

# Génère le dictionnaire plot_config à partir du fichier XML plot_config.xml
def  plot_config_dict():
    for var in plot_config_tree[0][0]:
        var_dict={}
        for i in range (len(var)):
            if var[i] is not None:
                var_dict.update({var[i].tag : var[i].text})
        plot_config.update({var.text: var_dict})

# Nombre de groupe de courbe(s)
def  plot_nb():
    plot_config_list=list(plot_config)
    nbgroup = 0

    # Regroupement ('group' > 0)
    for var in plot_config_list:
        if ('group' in plot_config[var]):
            if nbgroup < int(plot_config[var]['group']):
                nbgroup = int(plot_config[var]['group'])

    # Plot solitaire ('group' = 0)
    # 'group' = -1 -> variable non affichée
    for var in plot_config_list:
        if ('group' in plot_config[var]):
            if int(plot_config[var]['group']) == 0:
                nbgroup +=1

    return nbgroup

###############################################################################
# Zone de dessin
###############################################################################

class MplCanvas(FigureCanvasQTAgg):
    def __init__(self, parent=None, width=5, height=4, dpi=100):
        fig, self.plt = plts.subplots(plot_nb(), 1, sharex=True) # plot_nb() : nombre de graphiques
        super(MplCanvas, self).__init__(fig)

###############################################################################
# Graphique dynamique
###############################################################################

class DynamicPlot(QtWidgets.QMainWindow):

    # Création du graphique
    def __init__(self, *args, **kwargs):
        super(MainWindow, self).__init__(*args, **kwargs)
        self.canvas = MplCanvas(self, width=5, height=4, dpi=100)
        self.setCentralWidget(self.canvas)
        n_data = 50
        # self.xdata = list(range(n_data))
        # self.ydata = [random.randint(0, 10) for i in range(n_data)]
        self.xdata = [0]
        self.ydata = [0]
        self.update_plot()
        self.show()

        # Timer pour le update_plot
        fps = 120  # Blender est cadencé à 60 fps
        self.timer = QtCore.QTimer()
        # self.timer.setInterval(int(1000/fps))
        self.timer.setInterval(1)
        self.timer.timeout.connect(self.update_plot)
        self.timer.start()
        print("Qt : Canvas ready\n")

    # Lecture des données et mise à jour du graphique
    def update_plot(self):
        plt = self.canvas.subplot

        # Données
        msg=""
        for line in sys.stdin:
            msg = line.rstrip()
            break
        print("Qt : ", msg)

        # Essai
        new_x=self.xdata[len(self.xdata)-1]+1
        self.xdata.append(new_x)
        self.ydata.append(random.randint(0, 10))

        # Lecture du Pipe simple
        # msg=""
        # print (sys.stdin)
        # contents = sys.stdin.read(1)
        # # contents = sys.stdin.buffer
        # print ("contents :", contents)

        # for line in sys.stdin:
        #     msg = line.rstrip()
        #     break
        # print(msg)

        # X et Y
        # FIXME : temps et une valeur
        # msg_list=msg.split(',')
        # print(msg_list)
        # if msg_list[0] != "":
        #     self.xdata = self.xdata + [float(msg_list[0])]
        #     self.ydata = self.ydata + [float(msg_list[1])]

        # # Lecture du Pipe
        # # i=0
        # # lines = sys.stdin.readlines()
        # # print (lines)
        # # print ("b")
        
        # msg_line=""
        # # msg_lines=[]
        # for line in sys.stdin:
        #     # i+=1
        #     # print (i)
        #     msg_line = line.rstrip()
        #     # msg_lines.append(msg_line)
        #     # print("Qt msg_lines :", msg)
        #     # if i==2:
        #     #     break
        #     break
        # print("Qt :", msg_line)
        # # print("Qt msg_lines :", msg_lines)

        # # X et Y
        # # FIXME : temps msg_list[0] et une seule valeur msg_list[1]
        # msg_list=msg_line.split(',')
        # # print(msg_list)
        # if msg_list[0] != "":
        #     self.xdata = self.xdata + [float(msg_list[0])]
        #     self.ydata = self.ydata + [float(msg_list[1])]
               

        # for line in msg_lines:
        #     msg_list=line.split(',')
        #     # print(msg_list)
        #     if msg_list[0] != "":
        #         self.xdata = self.xdata + [float(msg_list[0])]
        #         self.ydata = self.ydata + [float(msg_list[1])]

        # for line in sys.stdin:
        # msg_list=msg.split(',')
        # print(msg_list)
        # if msg_list[0] != "":
        #     self.xdata = self.xdata + [float(msg_list[0])]
        #     self.ydata = self.ydata + [float(msg_list[1])]

        # self.ydata = self.ydata + [random.randint(0, 10)]
        # Drop off the first y element, append a new one.
        # self.ydata = self.ydata[1:] + [random.randint(0, 10)]

        # Redraw
        plt.cla()  
        plt.plot(self.xdata, self.ydata, 'r')
        self.canvas.draw()

###############################################################################
# Graphique statique
###############################################################################

class MainWindow(QtWidgets.QMainWindow):

    # Création du graphique
    def __init__(self, *args, **kwargs):

        # Configuration des plots
        plot_config_dict()

        # Zone graphique (barre d'outil et graphique)
        # FIXME : perd de la place quand on agrandi
        super(MainWindow, self).__init__(*args, **kwargs)
        self.canvas = MplCanvas(self, width=5, height=4, dpi=100)
        # print (self.canvas.getContentsMargins())
        toolbar = NavigationToolbar(self.canvas, self)
        # print (toolbar.getContentsMargins())
     
        # Implantation de la fenêtre
        layout = QtWidgets.QVBoxLayout()
        # print (layout.getContentsMargins())
        # layout.setContentsMargins(0,0,0,0)
        layout.addWidget(toolbar)
        layout.addWidget(self.canvas)
        widget = QtWidgets.QWidget()
        # print (widget.getContentsMargins())
        widget.setLayout(layout)
        self.setCentralWidget(widget)
        # print (self.getContentsMargins())

        # Lecture fichier CSV
        fields = []
        rows = []
        with open(sys.argv[1], newline='') as csvfile:
            csvreader = csv.reader(csvfile, delimiter=';')
            fields = next(csvreader)
            for row in csvreader:
                rows.append(row)

        # Mise en tableau à deux colonnes (xdata,ydata)
        xdata=[]
        ydata=[]
        i=0
        for field in fields:
            xdata_row=[]
            ydata_row=[]
            for row in rows:
                xdata_row.append(float(row[0].replace(',', '.'))) # Revenir au format US des décimaux
                ydata_row.append(float(row[i].replace(',', '.'))) # Revenir au format US des décimaux
            xdata.append(xdata_row)
            ydata.append(ydata_row)
            i+=1

        # Plots
        plt_i=0 # Compteur de plot
        plt_grp=[] # Groupe de plot
        for i in range(len(fields)):
            var = fields[i]
            plt_current=-1 # Numéro du plot à créer

            if ('group' in plot_config[var]): # Pas de Plot
                if int(plot_config[var]['group']) !=-1: # Pas de Plot

                    # Plot solitaire
                    if int(plot_config[var]['group']) ==0:
                        plt_current = plt_i
                        plt_grp.append([plt_i, 0])
                        plt_i +=1

                    # Plot groupé
                    else: 
                        plt_new = True # Flag d'un nouveau groupe
                        for j in range(len(plt_grp)):
                            if plt_grp[j][1] == int(plot_config[var]['group']): # Groupe déjà existant
                                plt_current = plt_grp[j][0]
                                plt_new = False
                                break

                        # Nouveau groupe
                        if plt_new:
                            plt_current = plt_i
                            plt_grp.append([plt_i, int(plot_config[var]['group'])])
                            plt_i +=1

                    # Création du plot
                    if twin_config[1][0].text == "True": # Configuration des plots activée
                        self.canvas.plt[plt_current].plot(xdata[i], ydata[i], label=var, color=plot_config[var]['color'],
                                                    linewidth=plot_config[var]['linewidth'], linestyle=plot_config[var]['linestyle'], marker=plot_config[var]['marker'])
                    else:
                        self.canvas.plt[plt_current].plot(xdata[i], ydata[i], '.-', label=var) # Configuration matplotlib par défaut

        # for i in range(len(fields)):
        #     if i != 0 : # i=0 -> Ne pas afficher car c'est temps (variable t)
        #         if twin_config[1][0].text == "True": # Configuration des plots activée
        #             self.canvas.plt[0].plot(xdata[i], ydata[i], label=fields[i], color=plot_config[fields[i]]['color'],
        #                      linewidth=plot_config[fields[i]]['linewidth'], linestyle=plot_config[fields[i]]['linestyle'], marker=plot_config[fields[i]]['marker'])
        #         else:
        #             self.canvas.plt[0].plot(xdata[i], ydata[i], '.-', label=fields[i])

        # Décoration
        self.canvas.plt[plt_i-1].set_xlabel("Temps (s)")
        # self.canvas.plt[0].set_ylabel("Valeurs")
        self.canvas.plt[0].set_title(sys.argv[1])
        for i in range (plt_i):
            self.canvas.plt[i].axhline(linewidth=1, color='k')
            self.canvas.plt[i].grid(True, linestyle='--')
            self.canvas.plt[i].legend()

        # Redraw
        self.canvas.draw()
        self.show()

###############################################################################
# Application
###############################################################################

app = QtWidgets.QApplication(sys.argv)
# w = DynamicPlot()
w = MainWindow() # StaticPlot()
app.exec_()