homework_assignment_tanuj

homework_tanuj.ipynb

@@ -0,0 +1,98 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt \n",
+    "%matplotlib inline"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def Multiply(matrix1,matrix2):\n",
+    "    \n",
+    "    factor1 = matrix1.shape[0]\n",
+    "    factor2 = matrix2.shape[1]\n",
+    "\n",
+    "    count = factor1-factor2+1\n",
+    "    matrix3 = np.zeros((factor2,factor2))\n",
+    "    matrix4 = np.zeros((count,count))\n",
+    "\n",
+    "    for i in range(count):\n",
+    "        for j in range (count):\n",
+    "            matrix3[:,:] = matrix1[j:factor2+j,i:factor2+i]\n",
+    "        \n",
+    "            flag = 0\n",
+    "            for k in range(factor2):\n",
+    "                for l in range (factor2):\n",
+    "                    flag+=matrix3[k][l]*matrix2[k][l]\n",
+    "       \n",
+    "            matrix4[j][i]=flag\n",
+    "    return matrix4\n",
+    "                       \n",
+    "                       \n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[[28. 15.]\n",
+      " [23. 21.]]\n"
+     ]
+    }
+   ],
+   "source": [
+    "matrix1 = np.array(([2,3,1],[4,2,1],[1,3,2]))\n",
+    "matrix2 = np.array(([1,2],[3,4]))\n",
+    "\n",
+    "print Multiply(matrix1,matrix2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    ")\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 2",
+   "language": "python",
+   "name": "python2"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}