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Author: Amogh Singhal

bits_wilp/Ex2_Numpy_Q2.ipynb

@@ -0,0 +1,122 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "e572d5e4-94a8-4059-bc1f-332e713b02e3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b525ea5a-5f30-40ac-a98c-40394d788bba",
+   "metadata": {},
+   "source": [
+    "### Set Difference Between Two Nupmy Arrays"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "bdb7936b-b56f-458e-9e72-70eeb7968190",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Function to take input array from user\n",
+    "def np_array_frm_input(prompt):\n",
+    "    try:\n",
+    "        arr = list(map(int, input(prompt).split()))\n",
+    "        np_array = np.array(arr, dtype=int)\n",
+    "    except ValueError as e:\n",
+    "        np_array = None\n",
+    "        print(\"ERROR: Please enter only integers !!!\")\n",
+    "        print(e)\n",
+    "    return np_array"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "1654ed7a-63f9-44bf-a30e-ea85ecd806fd",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "Enter numbers for first sequence:  6 4 2\n",
+      "\n",
+      "Enter numbers for second sequence:  3 4\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "The set difference between [6 4 2] and [3 4] is [2 6]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Return the sorted, unique values in array1 that are not in array2\n",
+    "np_arr1 = np_array_frm_input(\"\\nEnter numbers for first sequence: \")\n",
+    "np_arr2 = np_array_frm_input(\"\\nEnter numbers for second sequence: \")\n",
+    "print(f\"\\nThe set difference between {np_arr1} and {np_arr2} is {np.setdiff1d(np_arr1, np_arr2)}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "79d06c1a-d66e-4b97-8de4-4332b51d3220",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([2])"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a917ffd2-be2c-4e04-82bf-f8a2209ea340",
+   "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
+}