diff --git a/module3/exo3/exercice.ipynb b/module3/exo3/exercice.ipynb index 889c2a537d244f65d11ea81b08f285c4375c0cf5..4f7f6afa5f1cae6ed70128ae4e6c9333f971b248 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": [ {