Reshape_function.ipynb

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       "array([[ 1],\n",
       "       [ 2],\n",
       "       [ 3],\n",
       "       [ 4],\n",
       "       [ 5],\n",
       "       [ 6],\n",
       "       [ 7],\n",
       "       [ 8],\n",
       "       [ 9],\n",
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     "execution_count": 1,
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   "source": [
    "import pandas as pd \n",
    "import numpy as np \n",
    "\n",
    "\n",
    "array1 = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12])\n",
    "\n",
    "new_array=array1.reshape(-1,1)\n",
    "new_array"
   ]
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    {
     "data": {
      "text/plain": [
       "array([[[ 1,  2,  3,  4],\n",
       "        [ 5,  6,  7,  8],\n",
       "        [ 9, 10, 11, 12]],\n",
       "\n",
       "       [[13, 14, 15, 16],\n",
       "        [17, 18, 19, 20],\n",
       "        [21, 22, 23, 24]]])"
      ]
     },
     "execution_count": 15,
     "metadata": {},
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   ],
   "source": [
    "array2 = np.arange(1, 25)\n",
    "array2\n",
    "# now reshaping array2\n",
    "\n",
    "new_array2=array2.reshape(2,3,4)\n",
    "new_array2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "7913ff2a-d618-4f94-9658-40206dfe0023",
   "metadata": {},
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
      "       18, 19, 20, 21, 22, 23, 24])\n"
     ]
    }
   ],
   "source": [
    "import pprint as pp\n",
    "#Using prety print too display it in suitable format\n",
    "p=pp.pprint(array2)\n",
    "p"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "fa49878a-1be7-4737-8b94-f4d153ce2b10",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12])"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "array3 = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]])  \n",
    "\n",
    "new_array3=array3.flatten()\n",
    "new_array3\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "1f375549-497e-4b7e-af3a-7552b8d6420a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 1,  2],\n",
       "       [ 3,  4],\n",
       "       [ 5,  6],\n",
       "       [ 7,  8],\n",
       "       [ 9, 10],\n",
       "       [11, 12],\n",
       "       [13, 14],\n",
       "       [15, 16],\n",
       "       [17, 18],\n",
       "       [19, 20]])"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "array4 = np.arange(1, 21)  \n",
    "\n",
    "new_array4=array4.reshape(-1,2)\n",
    "new_array4\n"
   ]
  }
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