Code added to save anomilities

performance.ipynb

@@ -601,10 +601,33 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 13,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
-   "source": []
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Excel file 'C:\\data\\aus_prospectus\\output\\error_analysis\\anomilities_found.xlsx' has been created successfully.\n"
+     ]
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "\n",
+    "\n",
+    "# Convert data to DataFrame\n",
+    "df = pd.DataFrame(message_list)\n",
+    "\n",
+    "# Sort DataFrame by 'doc_id'\n",
+    "df_sorted = df.sort_values(by=['doc_id'])\n",
+    "\n",
+    "# Save DataFrame to Excel file\n",
+    "output_filename = r\"C:\\data\\aus_prospectus\\output\\error_analysis\\anomilities_found.xlsx\"\n",
+    "df_sorted.to_excel(output_filename, index=False)\n",
+    "\n",
+    "print(f\"Excel file '{output_filename}' has been created successfully.\")\n"
+   ]
   },
   {
    "cell_type": "code",