Tutorial Playlist
200 Lessons1. Introduction to Python
2. Features of Python
3. How to install python in windows
4. How to Install Python on macOS
5. Install Python on Linux
6. Hello World Program in Python
7. Python Variables
8. Global Variable in Python
9. Python Keywords and Identifiers
10. Assert Keyword in Python
11. Comments in Python
12. Escape Sequence in Python
13. Print In Python
14. Python-if-else-statement
15. Python for Loop
16. Nested for loop in Python
17. While Loop in Python
18. Python’s do-while Loop
19. Break in Python
20. Break Pass and Continue Statement in Python
21. Python Try Except
22. Data Types in Python
23. Float in Python
24. String Methods Python
25. List in Python
26. List Methods in Python
27. Tuples in Python
28. Dictionary in Python
29. Set in Python
30. Operators in Python
31. Boolean Operators in Python
32. Arithmetic Operators in Python
33. Assignment Operator in Python
34. Bitwise operators in Python
35. Identity Operator in Python
36. Operator Precedence in Python
37. Functions in Python
38. Lambda and Anonymous Function in Python
39. Range Function in Python
40. len() Function in Python
41. How to Use Lambda Functions in Python?
42. Random Function in Python
43. Python __init__() Function
44. String Split function in Python
45. Round function in Python
46. Find Function in Python
47. How to Call a Function in Python?
48. Python Functions Scope
49. Method Overloading in Python
50. Method Overriding in Python
51. Static Method in Python
52. Python List Index Method
53. Python Modules
54. Math Module in Python
55. Module and Package in Python
56. OS module in Python
57. Python Packages
58. OOPs Concepts in Python
59. Class in Python
60. Abstract Class in Python
61. Object in Python
62. Constructor in Python
63. Inheritance in Python
64. Multiple Inheritance in Python
65. Encapsulation in Python
66. Data Abstraction in Python
67. Opening and closing files in Python
68. How to open JSON file in Python
69. Read CSV Files in Python
70. How to Read a File in Python
71. How to Open a File in Python?
72. Python Write to File
73. JSON Python
74. Python JSON – How to Convert a String to JSON
75. Python JSON Encoding and Decoding
76. Exception Handling in Python
77. Recursion in Python
78. Python Decorators
79. Python Threading
80. Multithreading in Python
81. Multiprocеssing in Python
82. Python Regular Expressions
83. Enumerate() in Python
84. Map in Python
85. Filter in Python
86. Eval in Python
87. Difference Between List, Tuple, Set, and Dictionary in Python
88. List to String in Python
89. Linked List in Python
90. Length of list in Python
91. Reverse a List in Python
92. Python List remove() Method
93. How to Add Elements in a List in Python
94. How to Reverse a List in Python?
95. Difference Between List and Tuple in Python
96. List Slicing in Python
97. Sort in Python
98. Merge Sort in Python
99. Selection Sort in Python
100. Sort Array in Python
101. Sort Dictionary by Value in Python
Now Reading
102. Datetime Python
103. Random Number in Python
104. 2D Array in Python
105. Abs in Python
106. Advantages of Python
107. Anagram Program in Python
108. Append in Python
109. Applications of Python
110. Armstrong Number in Python
111. Assert in Python
112. Binary Search in Python
113. Binary to Decimal in Python
114. Bool in Python
115. Calculator Program in Python
116. chr in Python
117. Control Flow Statements in Python
118. Convert String to Datetime Python
119. Count in python
120. Counter in Python
121. Data Visualization in Python
122. Datetime in Python
123. Extend in Python
124. F-string in Python
125. Fibonacci Series in Python
126. Format in Python
127. GCD of Two Numbers in Python
128. How to Become a Python Developer
129. How to Run Python Program
130. In Which Year Was the Python Language Developed?
131. Indentation in Python
132. Index in Python
133. Interface in Python
134. Is Python Case Sensitive?
135. Isalpha in Python
136. Isinstance() in Python
137. Iterator in Python
138. Join in Python
139. Leap Year Program in Python
140. Lexicographical Order in Python
141. Literals in Python
142. Matplotlib
143. Matrix Multiplication in Python
144. Memory Management in Python
145. Modulus in Python
146. Mutable and Immutable in Python
147. Namespace and Scope in Python
148. OpenCV Python
149. Operator Overloading in Python
150. ord in Python
151. Palindrome in Python
152. Pass in Python
153. Pattern Program in Python
154. Perfect Number in Python
155. Permutation and Combination in Python
156. Prime Number Program in Python
157. Python Arrays
158. Python Automation Projects Ideas
159. Python Frameworks
160. Python Graphical User Interface GUI
161. Python IDE
162. Python input and output
163. Python Installation on Windows
164. Python Object-Oriented Programming
165. Python PIP
166. Python Seaborn
167. Python Slicing
168. type() function in Python
169. Queue in Python
170. Replace in Python
171. Reverse a Number in Python
172. Reverse a string in Python
173. Reverse String in Python
174. Stack in Python
175. scikit-learn
176. Selenium with Python
177. Self in Python
178. Sleep in Python
179. Speech Recognition in Python
180. Split in Python
181. Square Root in Python
182. String Comparison in Python
183. String Formatting in Python
184. String Slicing in Python
185. Strip in Python
186. Subprocess in Python
187. Substring in Python
188. Sum of Digits of a Number in Python
189. Sum of n Natural Numbers in Python
190. Sum of Prime Numbers in Python
191. Switch Case in Python
192. Python Program to Transpose a Matrix
193. Type Casting in Python
194. What are Lists in Python?
195. Ways to Define a Block of Code
196. What is Pygame
197. Why Python is Interpreted Language?
198. XOR in Python
199. Yield in Python
200. Zip in Python
Understanding data structures is pivotal to mastering Python programming. One such fundamental data structure is the dictionary. Knowing how to sort dictionary by value in Python can elevate the efficiency and readability of your code. This tutorial dives into the intricate nuances of sorting dictionaries by values in Python, a must-know for every Python enthusiast.
In Python, dictionaries are akin to real-world dictionaries, where you have a ‘key’ and its associated ‘value’. Though dictionaries are inherently unordered, there are scenarios where you might want to sort them, particularly by values, to meet specific requirements or enhance data analysis. This tutorial takes you through each of these situations in detail.
Dictionaries serve as a key player in data storage in Python. Each key-value pair holds its unique significance. Let’s delve into why sorting dictionaries becomes imperative:
Moreover, the intricacies of sorting dictionaries extend beyond the mere action of sorting. One can sort:
To sort a dictionary by its keys in Python, you can use the sorted() function along with a dictionary comprehension. Here's an example:
Code:
# Original dictionary
my_dict = {"banana": 3, "apple": 1, "cherry": 2}
# Sort the dictionary by keys
sorted_dict = {key: my_dict[key] for key in sorted(my_dict)}
print(sorted_dict)
In this example, the sorted() function sorts the dictionary's keys alphabetically, and a new dictionary is created with the sorted keys. sorted(my_dict) sorts the keys of the my_dict dictionary alphabetically. A new dictionary, sorted_dict, is created using dictionary comprehension to maintain the original key-value pairs with sorted keys.
This is similar to the example above but with a focus on sorting the dictionary and not necessarily creating a new one:
Code:
# Original dictionary
my_dict = {"banana": 3, "apple": 1, "cherry": 2}
# Sort the dictionary by keys in place
my_dict = {key: my_dict[key] for key in sorted(my_dict)}
print(my_dict)
In this code, my_dict dictionary is updated with its keys sorted in alphabetical order.
If you only want to display the sorted keys without altering the original dictionary, you can do it like this:
Code:
# Original dictionary
my_dict = {"banana": 3, "apple": 1, "cherry": 2}
# Get sorted keys
sorted_keys = sorted(my_dict.keys())
print(sorted_keys)
To display the sorted keys without modifying the original dictionary, you can use the sorted() function with my_dict.keys(). The sorted keys are stored in the sorted_keys variable and can be printed.
Code:
# Original dictionary
my_dict = {"banana": 3, "apple": 1, "cherry": 2}
# Sort the dictionary by keys and create a list of key-value pairs
sorted_items = sorted(my_dict.items())
print(sorted_items)
The sorted() function is used on my_dict.items() to create a list of key-value pairs sorted by keys.
To sort dictionary by value in Python, you can use the sorted() function with a custom sorting key. Here is an example:
Code:
# Original dictionary
my_dict = {"banana": 3, "apple": 1, "cherry": 2}
# Sort the dictionary by values
sorted_dict = {key: val for key, val in sorted(my_dict.items(), key=lambda x: x[1])}
print(sorted_dict)
In the above example, the sorted() function sorts the dictionary by values, creating a new dictionary with keys sorted by their corresponding values. The code sorts the dictionary items by values in ascending order, creating a new dictionary sorted_dict with keys ordered by their corresponding values.
Code:
# Original dictionary
my_dict = {"banana": 3, "apple": 1, "cherry": 2}
# Sort the dictionary by values and create a list of key-value pairs
sorted_items = sorted(my_dict.items(), key=lambda x: x[1])
print(sorted_items)
In this example, both keys and values are sorted in alphabetical order based on values.
The sorted() function is used on my_dict.items() with a custom sorting key that sorts by the second element (value) of each pair.
In this example, we have a dictionary of students where each student is represented by a nested dictionary. We want to sort the students by their ages (inner key).
Code:
# Original dictionary with nested dictionaries
students = {
"John": {"age": 25, "grade": "A"},
"Alice": {"age": 22, "grade": "B"},
"Bob": {"age": 28, "grade": "B"},
}
# Sort the dictionary by student age
sorted_students = {key: value for key, value in sorted(students.items(), key=lambda x: x[1]["age"])}
print(sorted_students)
This code sorts the students by age and creates a new dictionary with students ordered by their ages.
In this example, we have a dictionary where values are complex data types like tuples. We want to sort the dictionary based on a specific element within the tuple.
Code:
# Original dictionary with complex values (tuples)
data = {
"item1": (3, "apple"),
"item2": (1, "banana"),
"item3": (2, "cherry"),
}
# Sort the dictionary by the second element (string) in the tuple
sorted_data = {key: value for key, value in sorted(data.items(), key=lambda x: x[1][1])}
print(sorted_data)
This code sorts the dictionary by the second element in the tuple (the string) and creates a new dictionary with items ordered alphabetically.
In this example, we have a dictionary where values are lists, and we want to sort the dictionary by the length of the lists.
Code:
# Original dictionary with lists as values
data = {
"list1": [1, 2, 3],
"list2": [4, 5],
"list3": [6, 7, 8, 9],
}
# Sort the dictionary by the length of the lists
sorted_data = {key: value for key, value in sorted(data.items(), key=lambda x: len(x[1]))}
print(sorted_data)
This code sorts the dictionary by the length of the lists and creates a new dictionary with lists ordered by their lengths.
These examples demonstrate more complex sorting scenarios with dictionaries, including nested dictionaries, complex data types within values, and sorting based on custom criteria.
In this example, we have a dictionary where each key corresponds to a person's name, and each value is a dictionary containing attributes like age, city, and gender. We want to sort the dictionary based on the age of each person.
Code:
# Original dictionary with nested dictionaries
people = {
"John": {"age": 25, "city": "New York", "gender": "Male"},
"Alice": {"age": 22, "city": "Los Angeles", "gender": "Female"},
"Bob": {"age": 28, "city": "Chicago", "gender": "Male"},
}
# Sort the dictionary by the age of each person
sorted_people = {key: value for key, value in sorted(people.items(), key=lambda x: x[1]["age"])}
print(sorted_people)
This code sorts the dictionary based on the age of each person, creating a new dictionary with people ordered by their ages.
In this example, we have a dictionary with complex values representing products. We want to sort the products based on their prices.
Code:
# Original dictionary with complex values representing products
products = {
"product1": {"name": "Apple", "price": 1.0, "category": "Fruit"},
"product2": {"name": "Banana", "price": 0.5, "category": "Fruit"},
"product3": {"name": "Laptop", "price": 1000.0, "category": "Electronics"},
}
# Sort the dictionary by product price
sorted_products = {key: value for key, value in sorted(products.items(), key=lambda x: x[1]["price"])}
print(sorted_products)
This code sorts the dictionary of products based on their prices, creating a new dictionary with products ordered by price.
In this example, we have a dictionary where the values are custom objects of a class called Person. We want to sort the dictionary based on a specific attribute of the Person objects, such as their ages.
Code:
# Custom class definition
class Person:
def __init__(self, name, age):
self.name = name
self.age = age
# Original dictionary with custom objects as values
people = {
"person1": Person("John", 25),
"person2": Person("Alice", 22),
"person3": Person("Bob", 28),
}
# Sort the dictionary by the age attribute of the custom objects
sorted_people = {key: value for key, value in sorted(people.items(), key=lambda x: x[1].age)}
print(sorted_people)
This code sorts the dictionary of custom objects based on the age attribute of the Person objects, creating a new dictionary with people ordered by age.
Sorting dictionaries by value in Python is more than just a coding technique; it’s an asset in data handling, ensuring streamlined operations, efficient data analysis, and enhanced readability. As the world of Python continues to grow, mastering such intricacies becomes paramount. Consider delving deeper into Python’s world with upGrad’s comprehensive courses, equipping yourself with the knowledge to tackle real-world challenges adeptly.
1. Sort dictionary by value in Python example
Utilize the sorted() function combined with a lambda function: sorted(dict.items(), key=lambda x: x[1]).
2. Sort dictionary by value python descending
Use the reverse=True parameter with the sorted() function.
3. Sort dictionary by key Python
Simply use: sorted(dict.items()).
4. Python sort dictionary by key=lambda
It refers to using a lambda function to specify the key for sorting: sorted(dict.items(), key=lambda x: x[0]).
5. Sort dictionary by value python without lambda
One can use itemgetter: from operator import itemgetter and then sorted(dict.items(), key=itemgetter(1)).
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Director of Engineering
Director of Engineering @ upGrad. Motivated to leverage technology to solve problems. Seasoned leader for startups and fast moving orgs. Working …Read More
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upGrad does not grant credit; credits are granted, accepted or transferred at the sole discretion of the relevant educational institution offering the diploma or degree. We advise you to enquire further regarding the suitability of this program for your academic, professional requirements and job prospects before enr...