|
| 1 | +{ |
| 2 | + "cells": [ |
| 3 | + { |
| 4 | + "cell_type": "code", |
| 5 | + "execution_count": 1, |
| 6 | + "id": "846061b9-4829-48a0-a2be-dae592b8f95a", |
| 7 | + "metadata": {}, |
| 8 | + "outputs": [], |
| 9 | + "source": [ |
| 10 | + "import numpy as np\n", |
| 11 | + "import pandas as pd" |
| 12 | + ] |
| 13 | + }, |
| 14 | + { |
| 15 | + "cell_type": "markdown", |
| 16 | + "id": "0901b4de-dd28-4433-ac7b-8db0d9a0f995", |
| 17 | + "metadata": {}, |
| 18 | + "source": [ |
| 19 | + "### Size of Numpy array in bytes" |
| 20 | + ] |
| 21 | + }, |
| 22 | + { |
| 23 | + "cell_type": "code", |
| 24 | + "execution_count": 2, |
| 25 | + "id": "2cec0596-d393-479b-bf67-3deddec0ea9e", |
| 26 | + "metadata": {}, |
| 27 | + "outputs": [ |
| 28 | + { |
| 29 | + "name": "stdin", |
| 30 | + "output_type": "stream", |
| 31 | + "text": [ |
| 32 | + "Enter integers seperated by space. Press ENTER to end... 34 23 67 89\n" |
| 33 | + ] |
| 34 | + }, |
| 35 | + { |
| 36 | + "name": "stdout", |
| 37 | + "output_type": "stream", |
| 38 | + "text": [ |
| 39 | + "Given sequence is\n", |
| 40 | + "[34, 23, 67, 89]\n", |
| 41 | + "Number of elements in the numpy array: 4\n", |
| 42 | + "Total bytes consumed by the numpy array: 16\n", |
| 43 | + "Size in bytes of each element in the numpy array: 4\n" |
| 44 | + ] |
| 45 | + } |
| 46 | + ], |
| 47 | + "source": [ |
| 48 | + "try:\n", |
| 49 | + " # feed integer array from user\n", |
| 50 | + " arr = list(map(int, input(\"Enter integers seperated by space. Press ENTER to end...\").split()))\n", |
| 51 | + " print(\"Given sequence is\")\n", |
| 52 | + " print(arr)\n", |
| 53 | + " # convert Python array to Numpy array\n", |
| 54 | + " np_array = np.array(arr, dtype=int)\n", |
| 55 | + " print(f\"Number of elements in the numpy array: {np_array.size}\")\n", |
| 56 | + " print(f\"Total bytes consumed by the numpy array: {np_array.nbytes}\")\n", |
| 57 | + " print(f\"Size in bytes of each element in the numpy array: {(np_array.nbytes)//(np_array.size)}\")\n", |
| 58 | + "except ValueError as e:\n", |
| 59 | + " print(\"ERROR: Please enter only integers !!!\")\n", |
| 60 | + " print(e)" |
| 61 | + ] |
| 62 | + }, |
| 63 | + { |
| 64 | + "cell_type": "code", |
| 65 | + "execution_count": null, |
| 66 | + "id": "3e18b28b-796a-428f-96f7-cd530fd0cfd1", |
| 67 | + "metadata": {}, |
| 68 | + "outputs": [], |
| 69 | + "source": [] |
| 70 | + } |
| 71 | + ], |
| 72 | + "metadata": { |
| 73 | + "kernelspec": { |
| 74 | + "display_name": "Python 3", |
| 75 | + "language": "python", |
| 76 | + "name": "python3" |
| 77 | + }, |
| 78 | + "language_info": { |
| 79 | + "codemirror_mode": { |
| 80 | + "name": "ipython", |
| 81 | + "version": 3 |
| 82 | + }, |
| 83 | + "file_extension": ".py", |
| 84 | + "mimetype": "text/x-python", |
| 85 | + "name": "python", |
| 86 | + "nbconvert_exporter": "python", |
| 87 | + "pygments_lexer": "ipython3", |
| 88 | + "version": "3.8.5" |
| 89 | + } |
| 90 | + }, |
| 91 | + "nbformat": 4, |
| 92 | + "nbformat_minor": 5 |
| 93 | +} |
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