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Diff for: ‎Assignment-5.ipynb

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{
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"cells": [
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Dictionaries\n",
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"\n",
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"## Its an unordered collection of data values, used to store data values like a map, which unlike other Data Types that hold only a single value as an element, Dictionary holds key:value pair. Key-value is provided in the dictionary to make it more optimized. "
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"{}\n",
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"0\n",
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"<class 'dict'>\n"
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]
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}
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],
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"source": [
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"## Empty Dictionaries\n",
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"emptyDict = {}\n",
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"print(emptyDict)\n",
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"print(len(emptyDict))\n",
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"print(type(emptyDict))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 12,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"42\n",
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"1\n"
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]
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}
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],
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"source": [
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"dict = {'foo' : 42}\n",
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"print(dict['foo'])\n",
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"print(len(dict))"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Differences between list and Dictonary \n",
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" - To access values in list you have to give index, whereas in dictonaries you have to give keys.\n",
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" - List stores data sequentially, whereas Dictonary doesnot stores data sequentially thats why we access values with help of key.\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 18,
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"metadata": {},
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"outputs": [
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{
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"ename": "KeyError",
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"evalue": "'foo'",
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"output_type": "error",
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"traceback": [
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"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[1;31mKeyError\u001b[0m Traceback (most recent call last)",
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"\u001b[1;32m<ipython-input-18-23eff5f25f73>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[0mspam\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m{\u001b[0m\u001b[1;34m'bar'\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;36m100\u001b[0m\u001b[1;33m}\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2\u001b[0m \u001b[1;31m## we will get key error as we haven't defined any key:value pair named foo\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m \u001b[0mspam\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'foo'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
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"\u001b[1;31mKeyError\u001b[0m: 'foo'"
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]
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}
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],
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"source": [
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"spam = {'bar':100}\n",
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"## we will get key error as we haven't defined any key:value pair named foo\n",
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"spam['foo']"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 23,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"True"
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]
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},
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"execution_count": 23,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"spam = {'cat':'meow','dog':'bow'}\n",
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"'cat' in spam.keys()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 24,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"True"
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]
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},
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"execution_count": 24,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"'cat' in spam"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## There is no difference proved in above code as in operator checks whether a value exists as a key in the dictionary or not."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 25,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"True"
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]
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},
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"execution_count": 25,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"'cat' in spam"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 26,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"False"
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]
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},
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"execution_count": 26,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"'cat' in spam.values()"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## In the above 2 blocks of code 'cat' in spam finds if there is a key named 'cat' whereas 'cat' in spam.values() finds 'cat' in values of dictonary"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 36,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"{'cat': 'meow', 'dog': 'bow', 'color': 'black'}"
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]
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},
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"execution_count": 36,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"## shortcut for the following code?\n",
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"## if 'color' not in spam:\n",
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"## spam['color'] = 'black'\n",
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"spam.setdefault('color', 'black')\n",
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"spam['color']\n",
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"spam"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 70,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"{ 'cat': 'meow',\n",
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" 'color': 'black',\n",
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" 'dog': 'bow'}\n"
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]
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}
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],
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"source": [
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"import pprint\n",
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"pprint.pprint(spam,indent = 50,width=10, compact=False)"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.5"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}

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