Created on Cognitive Class Labs

Python Lab 2-3.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'key1': 1,\n",
       " 'key2': '2',\n",
       " 'key3': [3, 3, 3],\n",
       " 'key4': (4, 4, 4),\n",
       " 'key5': 5,\n",
       " (0, 1): 6}"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create the dictionary\n",
    "\n",
    "Dict = {\"key1\": 1, \"key2\": \"2\", \"key3\": [3, 3, 3], \"key4\": (4, 4, 4), ('key5'): 5, (0, 1): 6}\n",
    "Dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Access to the value by the key\n",
    "\n",
    "Dict[\"key1\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "# Access to the value by the key\n",
    "\n",
    "Dict[(0, 1)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Thriller': '1982',\n",
       " 'Back in Black': '1980',\n",
       " 'The Dark Side of the Moon': '1973',\n",
       " 'The Bodyguard': '1992',\n",
       " 'Bat Out of Hell': '1977',\n",
       " 'Their Greatest Hits (1971-1975)': '1976',\n",
       " 'Saturday Night Fever': '1977',\n",
       " 'Rumours': '1977'}"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create a sample dictionary\n",
    "\n",
    "release_year_dict = {\"Thriller\": \"1982\", \"Back in Black\": \"1980\", \\\n",
    "                    \"The Dark Side of the Moon\": \"1973\", \"The Bodyguard\": \"1992\", \\\n",
    "                    \"Bat Out of Hell\": \"1977\", \"Their Greatest Hits (1971-1975)\": \"1976\", \\\n",
    "                    \"Saturday Night Fever\": \"1977\", \"Rumours\": \"1977\"}\n",
    "release_year_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'1982'"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get value by keys\n",
    "\n",
    "release_year_dict['Thriller']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['Thriller', 'Back in Black', 'The Dark Side of the Moon', 'The Bodyguard', 'Bat Out of Hell', 'Their Greatest Hits (1971-1975)', 'Saturday Night Fever', 'Rumours'])"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get all the keys in dictionary\n",
    "\n",
    "release_year_dict.keys() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_values(['1982', '1980', '1973', '1992', '1977', '1976', '1977', '1977'])"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get all the values in dictionary\n",
    "\n",
    "release_year_dict.values() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Thriller': '1982',\n",
       " 'Back in Black': '1980',\n",
       " 'The Dark Side of the Moon': '1973',\n",
       " 'The Bodyguard': '1992',\n",
       " 'Bat Out of Hell': '1977',\n",
       " 'Their Greatest Hits (1971-1975)': '1976',\n",
       " 'Saturday Night Fever': '1977',\n",
       " 'Rumours': '1977',\n",
       " 'Graduation': '2007'}"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Append value with key into dictionary\n",
    "\n",
    "release_year_dict['Graduation'] = '2007'\n",
    "release_year_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Verify the key is in the dictionary\n",
    "\n",
    "'The Bodyguard' in release_year_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'The Bodyguard': '1992', 'Saturday Night Fever': '1977'}"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Question sample dictionary\n",
    "\n",
    "soundtrack_dic = {\"The Bodyguard\":\"1992\", \"Saturday Night Fever\":\"1977\"}\n",
    "soundtrack_dic \n",
    "#{'The Bodyguard': '1992', 'Saturday Night Fever': '1977'}\n",
    "#a) In the dictionary soundtrack_dict what are the keys ?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['The Bodyguard', 'Saturday Night Fever'])"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "soundtrack_dic.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_values(['1992', '1977'])"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#b) In the dictionary soundtrack_dict what are the values ?\n",
    "\n",
    "soundtrack_dic.values()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Back in Black': '50', 'The Bodyguard': '50', 'Thriller': '65'}"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#The Albums Back in Black, The Bodyguard and Thriller have the following music recording sales in millions 50, 50 and 65 respectively:\n",
    "\n",
    "#a) Create a dictionary album_sales_dict where the keys are the album name and the sales in millions are the values.\n",
    "\n",
    "album_sales_dict = {\"Back in Black\": \"50\", \"The Bodyguard\":\"50\", \"Thriller\":\"65\"}\n",
    "album_sales_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'65'"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#b) Use the dictionary to find the total sales of Thriller:\n",
    "\n",
    "album_sales_dict = {\"Back in Black\": \"50\", \"The Bodyguard\":\"50\", \"Thriller\":\"65\"}\n",
    "album_sales_dict[\"Thriller\"]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['Back in Black', 'The Bodyguard', 'Thriller'])"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#c) Find the names of the albums from the dictionary using the method keys:\n",
    "\n",
    "album_sales_dict.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_values(['50', '50', '65'])"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#d) Find the names of the recording sales from the dictionary using the method values:\n",
    "\n",
    "album_sales_dict.values()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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