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

**DATA 200
Computational Programming for Data Analytics**

Spring 2023
Instructor: Ron Mak
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# 5.8 Sorting Lists" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Sorting a List in Ascending Order" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Call the **method** `sort()` on a list to sort its elements into ascending order. The list is modified." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "numbers = [10, 3, 7, 1, 9, 4, 2, 8, 5, 6]" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "numbers.sort()\n", "\n", "numbers" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Sorting a List in Descending Order" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "numbers.sort(reverse=True)\n", "\n", "numbers" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Built-In Function `sorted`" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### On the other hand, the built-in **function** `sorted()` creates a new list. The original list is unchanged." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "numbers = [10, 3, 7, 1, 9, 4, 2, 8, 5, 6]" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "ascending_numbers = sorted(numbers)\n", "\n", "ascending_numbers" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "numbers" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "letters = 'fadgchjebi'\n", "ascending_letters = sorted(letters)\n", "\n", "ascending_letters" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "ascending_letters" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "letters" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "colors = ('red', 'orange', 'yellow', 'green', 'blue')\n", "ascending_colors = sorted(colors)\n", "\n", "ascending_colors" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "descending_colors = sorted(colors, reverse=True)\n", "\n", "descending_colors" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "colors" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "foods = ['Cookies', 'pizza', 'Grapes', 'apples', 'steak', 'Bacon']\n", "foods.sort()\n", "\n", "foods" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### What happened?" ] }, { "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 }