Matrix.ipynb

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  {
   "cell_type": "markdown",
   "id": "beb110cf",
   "metadata": {},
   "source": [
    "## Matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "df62e2ae",
   "metadata": {},
   "outputs": [],
   "source": [
    "# importing module\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "2f88084c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1., 0., 0., 0.],\n",
       "       [0., 1., 0., 0.],\n",
       "       [0., 0., 1., 0.],\n",
       "       [0., 0., 0., 1.]])"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.eye(4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "4e003538",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0., 0., 0., 0.],\n",
       "       [0., 0., 0., 0.],\n",
       "       [0., 0., 0., 0.]])"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.zeros((3,4))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "e41b75c0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[2, 2, 2],\n",
       "       [2, 2, 2],\n",
       "       [2, 2, 2]])"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.full((3,3),2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "50ee2648",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[1 2 3]\n",
      " [4 5 6]\n",
      " [7 8 9]]\n"
     ]
    }
   ],
   "source": [
    "M= np.array([[1,2,3],\n",
    "             [4,5,6],\n",
    "             [7,8,9]])\n",
    "\n",
    "print(M)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "61d3cd6f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 3  6]\n",
      " [24 27]]\n"
     ]
    }
   ],
   "source": [
    "m1 = np.array([[1,2],[8,9]])\n",
    "\n",
    "m2 = np.eye(2)\n",
    "\n",
    "m3=np.array([[1,2,3],\n",
    "             [4,5,6]])\n",
    "print(m1*3)             "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "4884fb1c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[3. 0.]\n",
      " [0. 3.]]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([[ 2.,  2.],\n",
       "       [ 8., 10.]])"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(m2*3)\n",
    "np.add(m1,m2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "40396d1c",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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