{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "###
San Jose State University
Department of Applied Data Science

**DATA 200
Computational Programming for Data Analytics**

Spring 2024
Instructor: Ron Mak
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 6.3.3 Mutable Set Operators and Methods" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### The previous set operators and set methods each created a **new** set. The following operators and methods modify an **existing** set." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Mutable Mathematical Set Operations" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### The **union augmented assignment operator** `|=` performs a set union and modifies the left set." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "numbers = {1, 3, 5}" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "numbers |= {2, 3, 4}\n", "\n", "numbers" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### The set method `update()` also performs a union operation that modifies the set that it's called upon." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "numbers.update(range(10))\n", "\n", "numbers" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Other mutating set operators and their corresponding set methods:\n", "\n", "| Operator | Set method |\n", "| ---: | :-- |\n", "| intersection augmented assignment `&=` | `intersection_update()` |\n", "| difference augmented assignment `-=` | `difference_update()` |\n", "| symmetric difference augmented assignment `^=` | `symmetric_difference_update()` |\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Methods for Adding and Removing Elements" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Set method `add()` inserts its argument into the set if the argument is **not** already in the set. Otherwise, the set is unchanged." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "numbers.add(17)\n", "numbers.add(3)\n", "\n", "numbers" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "numbers.add(3)\n", "\n", "numbers" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Set method `remove()` removes its argument from the set. A `KeyError` occurs if the element is not in the set." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "numbers.remove(3)\n", "\n", "numbers" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "numbers.remove(99)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Set method `discard()` also removes an element but does not cause an error if the element is not in the set." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "numbers.discard(17)\n", "\n", "numbers" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "numbers.discard(99)\n", "\n", "numbers" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Set method `pop()` removes an **arbitrary** element from the set and returns the removed element's value. Since a set is unordered, you won't know which element will be removed." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "numbers.pop()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "numbers" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Set method `clear()` empties the set it is called upon." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "numbers.clear()\n", "\n", "numbers" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Set method `pop()` causes a `KeyError` if the set is empty." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "numbers.pop()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "##########################################################################\n", "# (C) Copyright 2019 by Deitel & Associates, Inc. and #\n", "# Pearson Education, Inc. All Rights Reserved. #\n", "# #\n", "# DISCLAIMER: The authors and publisher of this book have used their #\n", "# best efforts in preparing the book. These efforts include the #\n", "# development, research, and testing of the theories and programs #\n", "# to determine their effectiveness. The authors and publisher make #\n", "# no warranty of any kind, expressed or implied, with regard to these #\n", "# programs or to the documentation contained in these books. The authors #\n", "# and publisher shall not be liable in any event for incidental or #\n", "# consequential damages in connection with, or arising out of, the #\n", "# furnishing, performance, or use of these programs. #\n", "##########################################################################\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# Additional material (C) Copyright 2023 by Ronald Mak" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "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": "3.11.5" } }, "nbformat": 4, "nbformat_minor": 4 }