From b8de954c00b65283dc823c50eca83ca29c17184a Mon Sep 17 00:00:00 2001 From: indira-percastigui Date: Wed, 2 Mar 2022 16:41:07 -0600 Subject: [PATCH] Lab_terminado --- .../.ipynb_checkpoints/main-checkpoint.ipynb | 443 ++++++++++++++++++ your-code/main.ipynb | 195 ++++++-- 2 files changed, 594 insertions(+), 44 deletions(-) create mode 100644 your-code/.ipynb_checkpoints/main-checkpoint.ipynb diff --git a/your-code/.ipynb_checkpoints/main-checkpoint.ipynb b/your-code/.ipynb_checkpoints/main-checkpoint.ipynb new file mode 100644 index 0000000..9efc6e9 --- /dev/null +++ b/your-code/.ipynb_checkpoints/main-checkpoint.ipynb @@ -0,0 +1,443 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Before your start:\n", + "- Read the README.md file\n", + "- Comment as much as you can and use the resources in the README.md file\n", + "- Happy learning!" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Challenge 1 - Passing a Lambda Expression to a Function\n", + "\n", + "In the next excercise you will create a function that returns a lambda expression. Create a function called `modify_list`. The function takes two arguments, a list and a lambda expression. The function iterates through the list and applies the lambda expression to every element in the list." + ] + }, + { + "cell_type": "raw", + "metadata": {}, + "source": [ + "Follow the steps as stated below:\n", + " 1. Define a list of any 10 numbers\n", + " 2. Define a simple lambda expression for eg that updates a number by 2\n", + " 3. Define an empty list\n", + " 4. Define the function -> use the lambda function to append the empty list\n", + " 5. Call the function with list and lambda expression\n", + " 6. print the updated list " + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[0, 2, 4, 6, 8, 10, 12, 14, 16, 18]\n" + ] + } + ], + "source": [ + "l = [a for a in range(0,10)]\n", + "f = lambda x: x * 2 #define the lambda expression\n", + "b = []\n", + "def modify_list(lst, fudduLambda):\n", + " for x in l:\n", + " b.append(fudduLambda(x))\n", + "\n", + "modify_list(l,f)\n", + "\n", + "print (b)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Now we will define a lambda expression that will transform the elements of the list. \n", + "\n", + "In the cell below, create a lambda expression that converts Celsius to Kelvin. Recall that 0°C + 273.15 = 273.15K" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "# Your code here:\n", + "\n", + "cel_kel = lambda x: x + 273.15\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Finally, convert the list of temperatures below from Celsius to Kelvin." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[285.15, 296.15, 311.15, 218.14999999999998, 297.15]\n" + ] + } + ], + "source": [ + "temps = [12, 23, 38, -55, 24]\n", + "\n", + "temps_kel = [cel_kel(temp) for temp in temps]\n", + "\n", + "print(temps_kel)\n", + "# Your code here:" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### In this part, we will define a function that returns a lambda expression\n", + "\n", + "In the cell below, write a lambda expression that takes two numbers and returns 1 if one is divisible by the other and zero otherwise. Call the lambda expression `mod`." + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": {}, + "outputs": [], + "source": [ + "# Your code here:\n", + "mod = lambda x: 1 if x % y == 0 else 0" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Now create a function that returns mod. The function only takes one argument - the first number in the `mod` lambda function. \n", + "\n", + "Note: the lambda function above took two arguments, the lambda function in the return statement only takes one argument but also uses the argument passed to the function." + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "metadata": {}, + "outputs": [], + "source": [ + "def divisor(b):\n", + " \"\"\"\n", + " input: a number\n", + " output: a function that returns 1 if the number is divisible by another number (to be passed later) and zero otherwise\n", + " \"\"\"\n", + " \n", + " # Your code here:\n", + " return (lambda x: 1 if x % b == 0 else 0)\n", + " \n", + " \n", + " " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Finally, pass the number 5 to `divisor`. Now the function will check whether a number is divisble by 5. Assign this function to `divisible5`" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + ".(x)>" + ] + }, + "execution_count": 74, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Your code here:\n", + "divisible5 = divisor(5)\n", + "divisible5\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Test your function with the following test cases:" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1" + ] + }, + "execution_count": 77, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "divisible5(10)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0" + ] + }, + "execution_count": 78, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "divisible5(8)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Challenge 2 - Using Lambda Expressions in List Comprehensions\n", + "\n", + "In the following challenge, we will combine two lists using a lambda expression in a list comprehension. \n", + "\n", + "To do this, we will need to introduce the `zip` function. The `zip` function returns an iterator of tuples.\n", + "\n", + "The way zip function works with list has been shown below:" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[('Green', 'eggs'),\n", + " ('cheese', 'cheese'),\n", + " ('English', 'cucumber'),\n", + " ('tomato', 'tomato')]" + ] + }, + "execution_count": 79, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "list1 = ['Green', 'cheese', 'English', 'tomato']\n", + "list2 = ['eggs', 'cheese', 'cucumber', 'tomato']\n", + "\n", + "zipped = zip(list1,list2)\n", + "list(zipped)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In this exercise we will try to compare the elements on the same index in the two lists. \n", + "We want to zip the two lists and then use a lambda expression to compare if:\n", + "list1 element > list2 element " + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "False\n", + "False\n", + "False\n", + "False\n" + ] + } + ], + "source": [ + "list1 = [1,2,3,4]\n", + "list2 = [2,3,4,5]\n", + "## Zip the lists together \n", + "## Print the zipped list \n", + "\n", + "compare = lambda x, y: print('True') if x == y else print('False')\n", + "\n", + "for x,y in zip(list1, list2):\n", + " compare(x,y)\n", + " # print(x,y)" + ] + }, + { + "cell_type": "raw", + "metadata": {}, + "source": [ + "Complete the parts of the code marked as \"###\"" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'\\n\\ncompare = lambda ###: print(\"True\") if ### else print(\"False\")\\nfor ### in zip(list1,list2):\\n compare(###)\\n \\n'" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "'''\n", + "\n", + "compare = lambda ###: print(\"True\") if ### else print(\"False\")\n", + "for ### in zip(list1,list2):\n", + " compare(###)\n", + " \n", + "''' " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Challenge 3 - Using Lambda Expressions as Arguments\n", + "\n", + "#### In this challenge, we will zip together two lists and sort by the resulting tuple.\n", + "\n", + "In the cell below, take the two lists provided, zip them together and sort by the first letter of the second element of each tuple. Do this using a lambda function." + ] + }, + { + "cell_type": "code", + "execution_count": 90, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[('Political Science', 'Essay'),\n", + " ('Computer Science', 'Homework'),\n", + " ('Engineering', 'Lab'),\n", + " ('Mathematics', 'Module')]" + ] + }, + "execution_count": 90, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "list1 = ['Engineering', 'Computer Science', 'Political Science', 'Mathematics']\n", + "list2 = ['Lab', 'Homework', 'Essay', 'Module']\n", + "\n", + "# Your code here:\n", + "\n", + "zipped = zip(list1, list2)\n", + "lista3 = (list(zipped))\n", + "\n", + "lista3 = sorted(lista3, key = lambda x: x[1])\n", + "lista3" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Bonus Challenge - Sort a Dictionary by Values\n", + "\n", + "Given the dictionary below, sort it by values rather than by keys. Use a lambda function to specify the values as a sorting key." + ] + }, + { + "cell_type": "code", + "execution_count": 92, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[('Toyota', 1995), ('Honda', 1997), ('Audi', 2001), ('BMW', 2005)]" + ] + }, + "execution_count": 92, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "d = {'Honda': 1997, 'Toyota': 1995, 'Audi': 2001, 'BMW': 2005}\n", + "\n", + "# Your code here:\n", + "\n", + "d = sorted(d.items(), key = lambda x: x[1])\n", + "d\n" + ] + } + ], + "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": "3.10.1" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/your-code/main.ipynb b/your-code/main.ipynb index 66a9984..9efc6e9 100644 --- a/your-code/main.ipynb +++ b/your-code/main.ipynb @@ -34,18 +34,28 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[0, 2, 4, 6, 8, 10, 12, 14, 16, 18]\n" + ] + } + ], "source": [ - "l = [######]\n", - "f = lambda x: #define the lambda expression\n", + "l = [a for a in range(0,10)]\n", + "f = lambda x: x * 2 #define the lambda expression\n", "b = []\n", "def modify_list(lst, fudduLambda):\n", - " for x in ####:\n", - " b.append(#####(x))\n", - "#Call modify_list(##,##)\n", - "#print b" + " for x in l:\n", + " b.append(fudduLambda(x))\n", + "\n", + "modify_list(l,f)\n", + "\n", + "print (b)" ] }, { @@ -59,12 +69,13 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "# Your code here:\n", - "\n" + "\n", + "cel_kel = lambda x: x + 273.15\n" ] }, { @@ -76,12 +87,23 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 6, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[285.15, 296.15, 311.15, 218.14999999999998, 297.15]\n" + ] + } + ], "source": [ "temps = [12, 23, 38, -55, 24]\n", "\n", + "temps_kel = [cel_kel(temp) for temp in temps]\n", + "\n", + "print(temps_kel)\n", "# Your code here:" ] }, @@ -96,11 +118,12 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 63, "metadata": {}, "outputs": [], "source": [ - "# Your code here:\n" + "# Your code here:\n", + "mod = lambda x: 1 if x % y == 0 else 0" ] }, { @@ -114,7 +137,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 76, "metadata": {}, "outputs": [], "source": [ @@ -124,7 +147,11 @@ " output: a function that returns 1 if the number is divisible by another number (to be passed later) and zero otherwise\n", " \"\"\"\n", " \n", - " # Your code here:" + " # Your code here:\n", + " return (lambda x: 1 if x % b == 0 else 0)\n", + " \n", + " \n", + " " ] }, { @@ -136,11 +163,24 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 74, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + ".(x)>" + ] + }, + "execution_count": 74, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# Your code here:\n" + "# Your code here:\n", + "divisible5 = divisor(5)\n", + "divisible5\n" ] }, { @@ -152,18 +192,40 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 77, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "1" + ] + }, + "execution_count": 77, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "divisible5(10)" + "divisible5(10)\n" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 78, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "0" + ] + }, + "execution_count": 78, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "divisible5(8)" ] @@ -183,7 +245,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 79, "metadata": {}, "outputs": [ { @@ -195,7 +257,7 @@ " ('tomato', 'tomato')]" ] }, - "execution_count": 1, + "execution_count": 79, "metadata": {}, "output_type": "execute_result" } @@ -203,6 +265,7 @@ "source": [ "list1 = ['Green', 'cheese', 'English', 'tomato']\n", "list2 = ['eggs', 'cheese', 'cucumber', 'tomato']\n", + "\n", "zipped = zip(list1,list2)\n", "list(zipped)" ] @@ -218,14 +281,31 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 81, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "False\n", + "False\n", + "False\n", + "False\n" + ] + } + ], "source": [ "list1 = [1,2,3,4]\n", "list2 = [2,3,4,5]\n", "## Zip the lists together \n", - "## Print the zipped list " + "## Print the zipped list \n", + "\n", + "compare = lambda x, y: print('True') if x == y else print('False')\n", + "\n", + "for x,y in zip(list1, list2):\n", + " compare(x,y)\n", + " # print(x,y)" ] }, { @@ -274,14 +354,34 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 90, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "[('Political Science', 'Essay'),\n", + " ('Computer Science', 'Homework'),\n", + " ('Engineering', 'Lab'),\n", + " ('Mathematics', 'Module')]" + ] + }, + "execution_count": 90, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "list1 = ['Engineering', 'Computer Science', 'Political Science', 'Mathematics']\n", "list2 = ['Lab', 'Homework', 'Essay', 'Module']\n", "\n", - "# Your code here:\n" + "# Your code here:\n", + "\n", + "zipped = zip(list1, list2)\n", + "lista3 = (list(zipped))\n", + "\n", + "lista3 = sorted(lista3, key = lambda x: x[1])\n", + "lista3" ] }, { @@ -295,26 +395,33 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 92, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "[('Toyota', 1995), ('Honda', 1997), ('Audi', 2001), ('BMW', 2005)]" + ] + }, + "execution_count": 92, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "d = {'Honda': 1997, 'Toyota': 1995, 'Audi': 2001, 'BMW': 2005}\n", "\n", - "# Your code here:" + "# Your code here:\n", + "\n", + "d = sorted(d.items(), key = lambda x: x[1])\n", + "d\n" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -328,7 +435,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.3" + "version": "3.10.1" } }, "nbformat": 4,