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{
"cells": [
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<class 'pandas.core.frame.DataFrame'>\n",
"RangeIndex: 112 entries, 0 to 111\n",
"Data columns (total 2 columns):\n",
" # Column Non-Null Count Dtype \n",
"--- ------ -------------- ----- \n",
" 0 dossier 112 non-null object\n",
" 1 emotion 112 non-null object\n",
"dtypes: object(2)\n",
"memory usage: 1.9+ KB\n"
]
}
],
"source": [
"import pandas as pd\n",
"\n",
"data = pd.read_csv('dataset.csv', sep=',', header=0)\n",
"\n",
"data.info()\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" dossier emotion\n",
"0 colere/c1ac.wav colere\n",
"1 colere/c1af.wav colere\n",
"2 colere/c1aj.wav colere\n",
"3 colere/c1an.wav colere\n",
"4 colere/c1bc.wav colere\n",
".. ... ...\n",
"107 joie/h4bn.wav joie\n",
"108 joie/h5an.wav joie\n",
"109 joie/h5c.wav joie\n",
"110 joie/h5f.wav joie\n",
"111 joie/h5j.wav joie\n",
"\n",
"[112 rows x 2 columns]\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"C:\\Users\\Evidya\\AppData\\Local\\Temp\\ipykernel_24704\\3726049179.py:8: FutureWarning: DataFrame.applymap has been deprecated. Use DataFrame.map instead.\n",
" data = data.applymap(lambda x: x.strip() if isinstance(x, str) else x)\n"
]
}
],
"source": [
"import pandas as pd\n",
"\n",
"\n",
"# 🔹 1. Supprimer les espaces des noms de colonnes\n",
"data.columns = data.columns.str.strip()\n",
"\n",
"# 🔹 2. Supprimer les espaces dans toutes les cellules (colonnes object)\n",
"data = data.applymap(lambda x: x.strip() if isinstance(x, str) else x)\n",
"\n",
"# Afficher le DataFrame corrigé\n",
"print(data)\n"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"# save to csv\n",
"data.to_csv('dataset.csv', index=False, sep=',')"
]
}
],
"metadata": {
"kernelspec": {
"display_name": ".venv",
"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": "3.11.5"
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},
"nbformat": 4,
"nbformat_minor": 2
}
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