From 0ef9e987a27a6b39e075f4308e6494be41a7d18a Mon Sep 17 00:00:00 2001
From: f82c1c4a1227cdba8ff3317d228324d6
 <f82c1c4a1227cdba8ff3317d228324d6@app-learninglab.inria.fr>
Date: Sat, 30 Mar 2024 19:37:15 +0000
Subject: [PATCH] resultb

---
 module3/exo3/exercice.ipynb | 18 +++++++++---------
 1 file changed, 9 insertions(+), 9 deletions(-)

diff --git a/module3/exo3/exercice.ipynb b/module3/exo3/exercice.ipynb
index 889c2a5..4f7f6af 100644
--- a/module3/exo3/exercice.ipynb
+++ b/module3/exo3/exercice.ipynb
@@ -301,7 +301,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -314,7 +314,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -329,7 +329,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -359,7 +359,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -389,7 +389,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -400,8 +400,8 @@
     "    df.dropna(inplace=True)  # Supprimer les lignes incomplètes\n",
     "    df.columns = [\"date\", \"size\", \"bytes\", \"from\", \"url\", \"ip\", \"icmp\",\"ttl\",\"time\", \"ms\"]  # Nommez les colonnes\n",
     "    df[\"time\"] = df[\"time\"].str[5:].astype(float)  # Extraire le temps en ms et convertir en float (supprimer la chaîne \"time-\")\n",
-    "    df[\"date\"] = df[\"date\"].str[1:18] # Extraire la date de la première colonne et la convertir au format \"datetime\"\n",
-    "    df[\"date\"] = pd.to_datetime(df[\"date\"], unit='s')\n",
+    "    df[\"date\"] = df[\"date\"].str[1:18] # Les [ ] sont supprimés donc la date est extraite de la première colonne\n",
+    "    df[\"date\"] = pd.to_datetime(df[\"date\"], unit='s') # La date obtenue précédemment est convertie au format \"datetime\"\n",
     "    return df\n",
     "\n",
     "# Traiter les données ping pour liglab2 et stackoverflow\n",
@@ -411,7 +411,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -441,7 +441,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
-- 
2.18.1