|
| 1 | +{ |
| 2 | + "cells": [ |
| 3 | + { |
| 4 | + "cell_type": "code", |
| 5 | + "execution_count": 1, |
| 6 | + "id": "e572d5e4-94a8-4059-bc1f-332e713b02e3", |
| 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": "b525ea5a-5f30-40ac-a98c-40394d788bba", |
| 17 | + "metadata": {}, |
| 18 | + "source": [ |
| 19 | + "### Set Difference Between Two Nupmy Arrays" |
| 20 | + ] |
| 21 | + }, |
| 22 | + { |
| 23 | + "cell_type": "code", |
| 24 | + "execution_count": 7, |
| 25 | + "id": "bdb7936b-b56f-458e-9e72-70eeb7968190", |
| 26 | + "metadata": {}, |
| 27 | + "outputs": [], |
| 28 | + "source": [ |
| 29 | + "# Function to take input array from user\n", |
| 30 | + "def np_array_frm_input(prompt):\n", |
| 31 | + " try:\n", |
| 32 | + " arr = list(map(int, input(prompt).split()))\n", |
| 33 | + " np_array = np.array(arr, dtype=int)\n", |
| 34 | + " except ValueError as e:\n", |
| 35 | + " np_array = None\n", |
| 36 | + " print(\"ERROR: Please enter only integers !!!\")\n", |
| 37 | + " print(e)\n", |
| 38 | + " return np_array" |
| 39 | + ] |
| 40 | + }, |
| 41 | + { |
| 42 | + "cell_type": "code", |
| 43 | + "execution_count": 17, |
| 44 | + "id": "1654ed7a-63f9-44bf-a30e-ea85ecd806fd", |
| 45 | + "metadata": {}, |
| 46 | + "outputs": [ |
| 47 | + { |
| 48 | + "name": "stdin", |
| 49 | + "output_type": "stream", |
| 50 | + "text": [ |
| 51 | + "\n", |
| 52 | + "Enter numbers for first sequence: 6 4 2\n", |
| 53 | + "\n", |
| 54 | + "Enter numbers for second sequence: 3 4\n" |
| 55 | + ] |
| 56 | + }, |
| 57 | + { |
| 58 | + "name": "stdout", |
| 59 | + "output_type": "stream", |
| 60 | + "text": [ |
| 61 | + "\n", |
| 62 | + "The set difference between [6 4 2] and [3 4] is [2 6]\n" |
| 63 | + ] |
| 64 | + } |
| 65 | + ], |
| 66 | + "source": [ |
| 67 | + "# Return the sorted, unique values in array1 that are not in array2\n", |
| 68 | + "np_arr1 = np_array_frm_input(\"\\nEnter numbers for first sequence: \")\n", |
| 69 | + "np_arr2 = np_array_frm_input(\"\\nEnter numbers for second sequence: \")\n", |
| 70 | + "print(f\"\\nThe set difference between {np_arr1} and {np_arr2} is {np.setdiff1d(np_arr1, np_arr2)}\")" |
| 71 | + ] |
| 72 | + }, |
| 73 | + { |
| 74 | + "cell_type": "code", |
| 75 | + "execution_count": 4, |
| 76 | + "id": "79d06c1a-d66e-4b97-8de4-4332b51d3220", |
| 77 | + "metadata": {}, |
| 78 | + "outputs": [ |
| 79 | + { |
| 80 | + "data": { |
| 81 | + "text/plain": [ |
| 82 | + "array([2])" |
| 83 | + ] |
| 84 | + }, |
| 85 | + "execution_count": 4, |
| 86 | + "metadata": {}, |
| 87 | + "output_type": "execute_result" |
| 88 | + } |
| 89 | + ], |
| 90 | + "source": [] |
| 91 | + }, |
| 92 | + { |
| 93 | + "cell_type": "code", |
| 94 | + "execution_count": null, |
| 95 | + "id": "a917ffd2-be2c-4e04-82bf-f8a2209ea340", |
| 96 | + "metadata": {}, |
| 97 | + "outputs": [], |
| 98 | + "source": [] |
| 99 | + } |
| 100 | + ], |
| 101 | + "metadata": { |
| 102 | + "kernelspec": { |
| 103 | + "display_name": "Python 3", |
| 104 | + "language": "python", |
| 105 | + "name": "python3" |
| 106 | + }, |
| 107 | + "language_info": { |
| 108 | + "codemirror_mode": { |
| 109 | + "name": "ipython", |
| 110 | + "version": 3 |
| 111 | + }, |
| 112 | + "file_extension": ".py", |
| 113 | + "mimetype": "text/x-python", |
| 114 | + "name": "python", |
| 115 | + "nbconvert_exporter": "python", |
| 116 | + "pygments_lexer": "ipython3", |
| 117 | + "version": "3.8.5" |
| 118 | + } |
| 119 | + }, |
| 120 | + "nbformat": 4, |
| 121 | + "nbformat_minor": 5 |
| 122 | +} |
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