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lire_csv_2.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import csv\n",
+    "import os\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "from sklearn.datasets import make_blobs\n",
+    "from sklearn.metrics import accuracy_score\n",
+    "import plotly.graph_objects as go\n",
+    "import PySimpleGUI as sg\n",
+    "from os import listdir"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def selection_fichier(dossier):\n",
+    "    # Liste des fichiers dans le répertoire\n",
+    "    nom_fichiers = listdir(dossier)\n",
+    "    # Créer une liste de tuples pour les options de la liste déroulante\n",
+    "    options = [(fichier) for fichier in nom_fichiers]\n",
+    "    # Créer la disposition de l'interface graphique\n",
+    "    layout = [\n",
+    "        [sg.Text(\"Sélectionnez les fichiers à traiter :\")],\n",
+    "        [sg.Listbox(values=options, select_mode=sg.LISTBOX_SELECT_MODE_EXTENDED, size=(40, 10))],\n",
+    "        [sg.Button(\"OK\"), sg.Button(\"Annuler\")]\n",
+    "        ]\n",
+    "    # Créer la fenêtre de l'interface graphique\n",
+    "    window = sg.Window(\"Sélection des fichiers\", layout)\n",
+    "    # Attendre que l'utilisateur interagisse avec l'interface graphique\n",
+    "    while True:\n",
+    "        event, values = window.read()\n",
+    "        if event == sg.WINDOW_CLOSED or event == \"Annuler\":\n",
+    "            fichiers_selectionnes = []\n",
+    "            break\n",
+    "        elif event == \"OK\":\n",
+    "            fichiers_selectionnes = values[0]\n",
+    "            break\n",
+    "    # Fermer la fenêtre de l'interface graphique\n",
+    "    window.close()\n",
+    "    return fichiers_selectionnes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def lire_un_fichier_csv(data):\n",
+    "  \n",
+    "  tableau_2D=[]\n",
+    "  tab=[]\n",
+    "  with open(data,\"r\") as csv_file:\n",
+    "      csv_reader=csv.reader(csv_file,delimiter=',')\n",
+    "      for ligne in csv_reader:\n",
+    "        tableau_2D.append(ligne)\n",
+    "  for i in range(len(tableau_2D[0])):\n",
+    "    ligne = [] \n",
+    "    for j in range(len(tableau_2D)):\n",
+    "      ligne.append(float(tableau_2D[j][i]))\n",
+    "    tab.append(ligne)  \n",
+    "  return tab"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 80,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def lire_fichier_csv(data,fichier):\n",
+    "    resultat=[]\n",
+    "    tableau=[]\n",
+    "    for i in fichier:\n",
+    "        tableau=lire_un_fichier_csv(os.path.join(data,i))\n",
+    "        resultat.append(tableau)\n",
+    "    return resultat"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 81,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['Shear_x001-x101_y010_Rot00.csv']\n",
+      "-20.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Répertoire contenant les fichiers\n",
+    "dossier = \"dataverse_files\\Dataset\\Shear_Wave_Rot00_CSV_Data\"\n",
+    "fichiers_selectionnes=selection_fichier(dossier)\n",
+    "print(fichiers_selectionnes)\n",
+    "tableau_3D=lire_fichier_csv(dossier,fichiers_selectionnes)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "base",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}