homework_tanuj.ipynb

{
 "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
}