diff --git a/Matplotlib/Matplotlib_Create_Piechart.ipynb b/Matplotlib/Matplotlib_Create_Piechart.ipynb
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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "8c9ef857-6c86-47f6-8f65-57721efda695",
+   "metadata": {
+    "papermill": {},
+    "tags": []
+   },
+   "source": [
+    "<img width=\"10%\" alt=\"Naas\" src=\"https://landen.imgix.net/jtci2pxwjczr/assets/5ice39g4.png?w=160\"/>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cf7eb0f0-1f89-497f-bc54-a5fd83fc5a02",
+   "metadata": {
+    "papermill": {},
+    "tags": []
+   },
+   "source": [
+    "# Matplotlib - Create Piechart"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fa0d95b2-8af8-4f15-9f82-d2dbc77d2ada",
+   "metadata": {
+    "papermill": {},
+    "tags": []
+   },
+   "source": [
+    "**Tags:** #matplotlib #piechart #datavisualization #plotting #python #visualization"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fb885501-a3c0-4b63-92df-c01fd3dae1c8",
+   "metadata": {
+    "papermill": {},
+    "tags": []
+   },
+   "source": [
+    "**Author:** [SaiKiran M](www.linkedin.com/in/msaikiran9)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "36705a1a-241c-483a-8735-a32b35a1d18f",
+   "metadata": {
+    "papermill": {},
+    "tags": []
+   },
+   "source": [
+    "**Last update:** 2023-10-05 (Created: 2023-10-05)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "427a04f7-9e13-4c0c-bb0d-94a8d6f81bdb",
+   "metadata": {
+    "papermill": {},
+    "tags": []
+   },
+   "source": [
+    "**Description:** This notebook will show how to create a piechart with Matplotlib. Pie charts are useful to represent proportions of a whole."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "45c4bd95-2f4d-4574-8ded-cd8b6f04348a",
+   "metadata": {
+    "papermill": {},
+    "tags": []
+   },
+   "source": [
+    "**References:**\n",
+    "- [Matplotlib Pie Chart](https://matplotlib.org/stable/plot_types/stats/pie.html#sphx-glr-plot-types-stats-pie-py)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "042761b8-c31a-4bb6-8f57-eaca1a012cf0",
+   "metadata": {
+    "papermill": {},
+    "tags": []
+   },
+   "source": [
+    "## Input"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9b10f380-6ddc-48f5-90b4-9454ab324326",
+   "metadata": {
+    "papermill": {},
+    "tags": []
+   },
+   "source": [
+    "### Import libraries"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "435a47b7-7012-4172-8565-a8b30ded1700",
+   "metadata": {
+    "papermill": {},
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "import naas"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a8fa608d-e932-4819-9a1b-50e0977daa65",
+   "metadata": {
+    "papermill": {},
+    "tags": []
+   },
+   "source": [
+    "### Setup variables\n",
+    "- `labels`: list of labels for each slice of the pie chart\n",
+    "- `sizes`: list of sizes for each slice of the pie chart\n",
+    "- `fig_path`: The file path or name for the output image file of the graph, saved as \"fig.png\"."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5c87fee1-24bb-469a-9ccc-313ae6452c9f",
+   "metadata": {
+    "papermill": {},
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# Inputs\n",
+    "labels = [\"hotdogs\", \"salads\", \"sandwich\", \"burger\"] #visualize shares of food of a hotel by giving labels.\n",
+    "sizes = [14.5, 30.5, 45, 10] #here hotdogs shares corresponds to 14.5 and so on.\n",
+    "\n",
+    "# Outputs\n",
+    "fig_path = \"pie.png\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "aff0bef4-284d-4fe2-9a0d-67ce8505bf9d",
+   "metadata": {
+    "papermill": {},
+    "tags": []
+   },
+   "source": [
+    "## Model"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "161eebd5-22b5-4d16-9791-46e6c457c163",
+   "metadata": {
+    "papermill": {},
+    "tags": []
+   },
+   "source": [
+    "### Create Pie Chart"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4b073715-6053-407e-888b-9a22a4f98b06",
+   "metadata": {
+    "papermill": {},
+    "tags": []
+   },
+   "source": [
+    "Create a pie chart with the given labels and sizes."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "448ee5c8-7b82-474c-9608-3a6cb5745660",
+   "metadata": {
+    "papermill": {},
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "plt.pie(sizes, labels=labels, autopct='%1.1f%%')\n",
+    "plt.axis(\"equal\")\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2a8540d3-b242-40a4-ae03-f814472275a3",
+   "metadata": {
+    "papermill": {},
+    "tags": []
+   },
+   "source": [
+    "## Output"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f7413927-a8ba-4f8b-9939-15d4e1b095e9",
+   "metadata": {
+    "papermill": {},
+    "tags": []
+   },
+   "source": [
+    "### Save figure"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "498629c1-6442-4694-bcdd-35ffd85a94a8",
+   "metadata": {
+    "papermill": {},
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "plt.savefig(fig_path)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0341a2a0-4905-45dd-a8c8-f1827cf7d212",
+   "metadata": {
+    "papermill": {},
+    "tags": []
+   },
+   "source": [
+    "### Share asset with naas"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "063f9203-12cd-4705-b0cd-93cc9113acb4",
+   "metadata": {
+    "papermill": {},
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "naas.asset.add(fig_path)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "672cd7bd-98e3-451f-b99f-4d5e9a3e9750",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "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": "3.9.6"
+  },
+  "widgets": {
+   "application/vnd.jupyter.widget-state+json": {
+    "state": {},
+    "version_major": 2,
+    "version_minor": 0
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}