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Author: Amogh Singhal

bits_wilp/Ex2_Numpy_Q1.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "846061b9-4829-48a0-a2be-dae592b8f95a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0901b4de-dd28-4433-ac7b-8db0d9a0f995",
+   "metadata": {},
+   "source": [
+    "### Size of Numpy array in bytes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "2cec0596-d393-479b-bf67-3deddec0ea9e",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "Enter integers seperated by space. Press ENTER to end... 34 23 67 89\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Given sequence is\n",
+      "[34, 23, 67, 89]\n",
+      "Number of elements in the numpy array: 4\n",
+      "Total bytes consumed by the numpy array: 16\n",
+      "Size in bytes of each element in the numpy array: 4\n"
+     ]
+    }
+   ],
+   "source": [
+    "try:\n",
+    "    # feed integer array from user\n",
+    "    arr = list(map(int, input(\"Enter integers seperated by space. Press ENTER to end...\").split()))\n",
+    "    print(\"Given sequence is\")\n",
+    "    print(arr)\n",
+    "    # convert Python array to Numpy array\n",
+    "    np_array = np.array(arr, dtype=int)\n",
+    "    print(f\"Number of elements in the numpy array: {np_array.size}\")\n",
+    "    print(f\"Total bytes consumed by the numpy array: {np_array.nbytes}\")\n",
+    "    print(f\"Size in bytes of each element in the numpy array: {(np_array.nbytes)//(np_array.size)}\")\n",
+    "except ValueError as e:\n",
+    "    print(\"ERROR: Please enter only integers !!!\")\n",
+    "    print(e)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3e18b28b-796a-428f-96f7-cd530fd0cfd1",
+   "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": "3.8.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}