diff --git a/Animation plot.ipynb b/Animation plot.ipynb
new file mode 100644
index 0000000..8f7baf7
--- /dev/null
+++ b/Animation plot.ipynb	
@@ -0,0 +1,118 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Animation Plot"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "import matplotlib.animation as animation\n",
+    "\n",
+    "\n",
+    "def update(num, data, line):\n",
+    "    line.set_data(data[...,:num])\n",
+    "    return line,"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fig1 = plt.figure()\n",
+    "\n",
+    "\n",
+    "x = np.arange(1,26)\n",
+    "y = np.arange(1,26)\n",
+    "data = np.vstack((x,y))   #stacking two arrays into one which is passed as argument for update_line function\n",
+    "\n",
+    "\n",
+    "l, = plt.plot([],[])\n",
+    "print(type(l))\n",
+    "plt.xlim(1, 26)\n",
+    "plt.ylim(1,26)\n",
+    "\n",
+    "line_ani = animation.FuncAnimation(fig1, update, 25, fargs=(data, l),\n",
+    "                                   interval=50, blit=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "line_ani.save('lines.gif')      # saves the animated plot to gif"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### HeatMap"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import seaborn as sns\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "flights = sns.load_dataset(\"flights\")\n",
+    "\n",
+    "flights = flights.pivot(\"month\", \"year\", \"passengers\")\n",
+    "plt.figure(figsize = (80,80))\n",
+    "sns.heatmap(flights, cmap = 'icefire_r', cbar = False, xticklabels=False, yticklabels = False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "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": "3.7.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}