{"id":654,"date":"2021-02-26T13:21:26","date_gmt":"2021-02-26T07:51:26","guid":{"rendered":"https:\/\/cbsepython.in\/?p=654"},"modified":"2024-03-15T19:43:49","modified_gmt":"2024-03-15T14:13:49","slug":"dictionary-in-python-class-11-notes","status":"publish","type":"post","link":"https:\/\/cbsepython.in\/dictionary-in-python-class-11-notes\/","title":{"rendered":"Dictionary in Python Class 11 Notes"},"content":{"rendered":"

Dictionary in Python Class 11 Notes<\/span><\/h2>\n

In this section students of class 11 and 12 having computer science or I.P. will learn about the dictionary in python programming.\u00a0 These notes are prepared as per the CBSE Syllabus and covers all the topics such as – accessing items in a dictionary using keys, mutability of a dictionary (adding a new term, modifying an existing item), traversing a dictionary, built-in functions\/methods \u2013 len(), dict(), keys(), values(), items(), get(), update(), del(), del, clear(),<\/span>
\nfromkeys(), copy(), pop(), popitem(), setdefault(), max(), min(), sorted().<\/span><\/p>\n

What is Dictionary in Python?<\/span><\/h3>\n

Python’s dictionaries are kind of hash table type. They work like associative arrays or hashes found in Perl and consist of key-value pairs. A dictionary key can be almost any Python type, but are usually numbers or strings. Values, on the other hand, can be any arbitrary Python object.<\/span><\/p>\n

It is an unordered collection of items where each item consists of a key and a value. It is mutable (can modify its contents) but Key must be unique and immutable.<\/span><\/p>\n

 <\/p>\n

Creating Dictionary<\/span><\/h3>\n

It is enclosed in curly braces { } and each item is separated from other item by a comma (,).Within each item, key and value are separated by a colon(:).<\/span><\/p>\n

dictonary_name={key:value, key: value, ……..keyN:valueN}<\/span><\/p>\n

Example :<\/span><\/p>\n

day= {1: 'Monday', 2:'Tuesday', 3: 'Wednesday'}\r\nprint day<\/pre>\n
Output:<\/span><\/p>\n
{1: 'Monday', 2: 'Tuesday', 3: 'Wednesday'}<\/code> >>><\/code><\/span><\/pre>\n
 <\/p>\n
 <\/p>\n
Accessing Dictionary Item<\/span><\/h3>\n
day= {1: 'Monday', 2:'Tuesday', 3: 'Wednesday'}\r\nprint day\r\nprint day[1]\r\nprint day[3]<\/pre>\n
 <\/p>\n
Output:<\/span><\/p>\n
{1: 'Monday', 2: 'Tuesday', 3: 'Wednesday'}\r\nMonday\r\nWednesday\r\n>>><\/span><\/pre>\n
 <\/p>\n
In above code we are accessing dictionary using key.<\/span><\/p>\n
 <\/p>\n
day= {1: 'Monday', 2:'Tuesday', 3: 'Wednesday'}\r\nprint(day.get(1))\r\n<\/pre>\n
 <\/p>\n
Output<\/span><\/p>\n
Monday\r\n>>><\/span><\/pre>\n
 <\/p>\n
Iterating Through A Dictionary<\/span><\/h3>\n
Following example will show how dictionary items can be accessed through loop.<\/span><\/p>\n
 <\/p>\n
day= {1: 'Monday', 2:'Tuesday', 3: 'Wednesday'}\r\nfor i in day:\r\n    print(day[i])\r\n<\/pre>\n
 <\/p>\n
Output:<\/span><\/p>\n
Monday\r\nTuesday\r\nWednesday\r\n>>> <\/span><\/pre>\n
 <\/p>\n
Updating Dictionary Elements<\/span><\/h3>\n
 <\/p>\n
We can change the individual element of dictionary.<\/span><\/p>\n
 <\/p>\n
day= {1: 'Monday', 2:'Tuesday', 3: 'Wednesday'}\r\nday[1]='Sunday'\r\nprint(day)\r\n<\/pre>\n
 <\/p>\n
OUTPUT<\/span><\/p>\n
{1: 'Sunday', 2: 'Tuesday', 3: 'Wednesday'}\r\n>>> <\/span><\/pre>\n
 <\/p>\n
Adding New Element in dictionary:<\/span><\/h3>\n
day= {1: 'Monday', 2:'Tuesday', 3: 'Wednesday'}\r\nday[4]='Thursday'\r\nday[5]='Friday'\r\nday[6]='Saturday'\r\nday[7]='Sunday'\r\nprint day\r\n<\/pre>\n
 <\/p>\n
Output:<\/span><\/p>\n
{1: 'Monday', 2: 'Tuesday', 3: 'Wednesday', 4: 'Thursday', 5: 'Friday', 6: 'Saturday', 7: 'Sunday'}\r\n>>><\/span><\/pre>\n
 <\/p>\n
Deleting Dictionary Elements:<\/span><\/h3>\n
 <\/p>\n
del, pop() and clear() statement are used to remove elements from the dictionary.<\/span><\/p>\n
 <\/p>\n
Using del function:<\/span><\/p>\n
day {1:'Monday',2:'Tuesday',3:'Wednesday',4:'Thursday',5:'Friday'}\r\ndel day[1]\r\nprint day\r\n<\/pre>\n
 <\/p>\n
Output:<\/span><\/p>\n
{2: 'Tuesday', 3: 'Wednesday', 4: 'Thursday', 5: 'Friday'}\r\n>>><\/span><\/pre>\n
In above code we deleted only single element.<\/span><\/p>\n
 <\/p>\n
Built-in Dictionary Functions<\/span><\/h3>\n
\u2666 len(dict) Gives the total length of the dictionary. It is equal to the number of items in the dictionary.<\/span><\/p>\n
\u2666 str(dict) Return a printable string representation of a dictionary<\/span><\/p>\n
\u2666 type(variable) If variable is dictionary,then it would return a dictionary type.<\/span><\/p>\n
 <\/p>\n
Built-in Dictionary Methods<\/span><\/h3>\n
\u2666 clear() Removes all elements of dictionary dict<\/span><\/p>\n
\u2666 copy() Returns a shallow copy of dictionary dict<\/span><\/p>\n
\u2666 items()Returns a list of dict’s (key, value) tuple pairs<\/span><\/p>\n
\u2666 keys()Returns list of dictionary dict’s keys<\/span><\/p>\n
\u2666 setdefault(key,default=None) Similar to get (), but will set dict [key] = default if key is not already in dict<\/span><\/p>\n
\u2666 update(dict2)Adds dictionary dict2’s key-values pairs to dict<\/span><\/p>\n
\u2666 values() Returns list of dictionary dict’s values<\/span><\/p>\n
 <\/p>\n
 <\/p>\n
Important points to remember<\/span><\/h2>\n
1. Dictionary is a collection of elements which is unordered, changeable and indexed.<\/span><\/strong><\/p>\n
2. Dictionary has keys and values.<\/span><\/strong><\/p>\n
3. Doesn\u2019t have index for values. Keys work as indexes.<\/span><\/strong><\/p>\n
4. Dictionary doesn\u2019t have duplicate member means no duplicate key.<\/span><\/strong><\/p>\n
5. Dictionaries are enclosed by curly braces { }<\/span><\/strong><\/p>\n
6. The key-value pairs are separated by commas ( , )<\/span><\/strong><\/p>\n
7. A dictionary key can be almost any Python type, but are usually numbers or strings.<\/span><\/strong><\/p>\n
8. Values can be assigned and accessed using square brackets [ ].<\/span><\/strong><\/p>\n
9. Keys of a dictionary must be of immutable types, such as string, number, tuple.<\/span><\/strong><\/p>\n
10. A dictionary operation that takes a key and finds the corresponding value, is called lookup.<\/span><\/strong><\/p>\n
11. There are two methods to delete elements from a dictionary: (i) using del statement (ii) using pop( ) method<\/span><\/strong><\/p>\n
12. To check the existence of a key in dictionary, two operators are used (i) in (ii) not in<\/span><\/strong><\/p>\n
 <\/p>\n","protected":false},"excerpt":{"rendered":"
Dictionary in Python Class 11 Notes In this section students of class 11 and 12 having computer science or I.P. will learn about the dictionary in python programming.\u00a0 These notes are prepared as per the CBSE Syllabus and covers all the topics such as – accessing items in a dictionary using keys, mutability of a […]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[],"class_list":["post-654","post","type-post","status-publish","format-standard","hentry","category-cbse-computer-science-with-python-class-12"],"_links":{"self":[{"href":"https:\/\/cbsepython.in\/wp-json\/wp\/v2\/posts\/654","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cbsepython.in\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/cbsepython.in\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/cbsepython.in\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/cbsepython.in\/wp-json\/wp\/v2\/comments?post=654"}],"version-history":[{"count":0,"href":"https:\/\/cbsepython.in\/wp-json\/wp\/v2\/posts\/654\/revisions"}],"wp:attachment":[{"href":"https:\/\/cbsepython.in\/wp-json\/wp\/v2\/media?parent=654"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/cbsepython.in\/wp-json\/wp\/v2\/categories?post=654"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/cbsepython.in\/wp-json\/wp\/v2\/tags?post=654"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}