
- Python - Home
- Python - Overview
- Python - History
- Python - Features
- Python vs C++
- Python - Hello World Program
- Python - Application Areas
- Python - Interpreter
- Python - Environment Setup
- Python - Virtual Environment
- Python - Basic Syntax
- Python - Variables
- Python - Data Types
- Python - Type Casting
- Python - Unicode System
- Python - Literals
- Python - Operators
- Python - Arithmetic Operators
- Python - Comparison Operators
- Python - Assignment Operators
- Python - Logical Operators
- Python - Bitwise Operators
- Python - Membership Operators
- Python - Identity Operators
- Python - Operator Precedence
- Python - Comments
- Python - User Input
- Python - Numbers
- Python - Booleans
- Python - Control Flow
- Python - Decision Making
- Python - If Statement
- Python - If else
- Python - Nested If
- Python - Match-Case Statement
- Python - Loops
- Python - for Loops
- Python - for-else Loops
- Python - While Loops
- Python - break Statement
- Python - continue Statement
- Python - pass Statement
- Python - Nested Loops
- Python Functions & Modules
- Python - Functions
- Python - Default Arguments
- Python - Keyword Arguments
- Python - Keyword-Only Arguments
- Python - Positional Arguments
- Python - Positional-Only Arguments
- Python - Arbitrary Arguments
- Python - Variables Scope
- Python - Function Annotations
- Python - Modules
- Python - Built in Functions
- Python Strings
- Python - Strings
- Python - Slicing Strings
- Python - Modify Strings
- Python - String Concatenation
- Python - String Formatting
- Python - Escape Characters
- Python - String Methods
- Python - String Exercises
- Python Lists
- Python - Lists
- Python - Access List Items
- Python - Change List Items
- Python - Add List Items
- Python - Remove List Items
- Python - Loop Lists
- Python - List Comprehension
- Python - Sort Lists
- Python - Copy Lists
- Python - Join Lists
- Python - List Methods
- Python - List Exercises
- Python Tuples
- Python - Tuples
- Python - Access Tuple Items
- Python - Update Tuples
- Python - Unpack Tuples
- Python - Loop Tuples
- Python - Join Tuples
- Python - Tuple Methods
- Python - Tuple Exercises
- Python Sets
- Python - Sets
- Python - Access Set Items
- Python - Add Set Items
- Python - Remove Set Items
- Python - Loop Sets
- Python - Join Sets
- Python - Copy Sets
- Python - Set Operators
- Python - Set Methods
- Python - Set Exercises
- Python Dictionaries
- Python - Dictionaries
- Python - Access Dictionary Items
- Python - Change Dictionary Items
- Python - Add Dictionary Items
- Python - Remove Dictionary Items
- Python - Dictionary View Objects
- Python - Loop Dictionaries
- Python - Copy Dictionaries
- Python - Nested Dictionaries
- Python - Dictionary Methods
- Python - Dictionary Exercises
- Python Arrays
- Python - Arrays
- Python - Access Array Items
- Python - Add Array Items
- Python - Remove Array Items
- Python - Loop Arrays
- Python - Copy Arrays
- Python - Reverse Arrays
- Python - Sort Arrays
- Python - Join Arrays
- Python - Array Methods
- Python - Array Exercises
- Python File Handling
- Python - File Handling
- Python - Write to File
- Python - Read Files
- Python - Renaming and Deleting Files
- Python - Directories
- Python - File Methods
- Python - OS File/Directory Methods
- Python - OS Path Methods
- Object Oriented Programming
- Python - OOPs Concepts
- Python - Classes & Objects
- Python - Class Attributes
- Python - Class Methods
- Python - Static Methods
- Python - Constructors
- Python - Access Modifiers
- Python - Inheritance
- Python - Polymorphism
- Python - Method Overriding
- Python - Method Overloading
- Python - Dynamic Binding
- Python - Dynamic Typing
- Python - Abstraction
- Python - Encapsulation
- Python - Interfaces
- Python - Packages
- Python - Inner Classes
- Python - Anonymous Class and Objects
- Python - Singleton Class
- Python - Wrapper Classes
- Python - Enums
- Python - Reflection
- Python Errors & Exceptions
- Python - Syntax Errors
- Python - Exceptions
- Python - try-except Block
- Python - try-finally Block
- Python - Raising Exceptions
- Python - Exception Chaining
- Python - Nested try Block
- Python - User-defined Exception
- Python - Logging
- Python - Assertions
- Python - Built-in Exceptions
- Python Multithreading
- Python - Multithreading
- Python - Thread Life Cycle
- Python - Creating a Thread
- Python - Starting a Thread
- Python - Joining Threads
- Python - Naming Thread
- Python - Thread Scheduling
- Python - Thread Pools
- Python - Main Thread
- Python - Thread Priority
- Python - Daemon Threads
- Python - Synchronizing Threads
- Python Synchronization
- Python - Inter-thread Communication
- Python - Thread Deadlock
- Python - Interrupting a Thread
- Python Networking
- Python - Networking
- Python - Socket Programming
- Python - URL Processing
- Python - Generics
- Python Libraries
- NumPy Tutorial
- Pandas Tutorial
- SciPy Tutorial
- Matplotlib Tutorial
- Django Tutorial
- OpenCV Tutorial
- Python Miscellenous
- Python - Date & Time
- Python - Maths
- Python - Iterators
- Python - Generators
- Python - Closures
- Python - Decorators
- Python - Recursion
- Python - Reg Expressions
- Python - PIP
- Python - Database Access
- Python - Weak References
- Python - Serialization
- Python - Templating
- Python - Output Formatting
- Python - Performance Measurement
- Python - Data Compression
- Python - CGI Programming
- Python - XML Processing
- Python - GUI Programming
- Python - Command-Line Arguments
- Python - Docstrings
- Python - JSON
- Python - Sending Email
- Python - Further Extensions
- Python - Tools/Utilities
- Python - GUIs
- Python Advanced Concepts
- Python - Abstract Base Classes
- Python - Custom Exceptions
- Python - Higher Order Functions
- Python - Object Internals
- Python - Memory Management
- Python - Metaclasses
- Python - Metaprogramming with Metaclasses
- Python - Mocking and Stubbing
- Python - Monkey Patching
- Python - Signal Handling
- Python - Type Hints
- Python - Automation Tutorial
- Python - Humanize Package
- Python - Context Managers
- Python - Coroutines
- Python - Descriptors
- Python - Diagnosing and Fixing Memory Leaks
- Python - Immutable Data Structures
- Python Useful Resources
- Python - Questions & Answers
- Python - Interview Questions & Answers
- Python - Online Quiz
- Python - Quick Guide
- Python - Reference
- Python - Cheatsheet
- Python - Projects
- Python - Useful Resources
- Python - Discussion
- Python Compiler
- NumPy Compiler
- Matplotlib Compiler
- SciPy Compiler
Python collections.OrderedDict
In Python, OrderedDict is a subclass of dictionary that remembers the order of the keys that were inserted. The only difference between OrderedDict() and the dict() lies in their handling of key order.
The standard dictionary does not guarantee any specific order when iterated whereas, the OrderedDict provides a specific order in which keys are added into the dictionary and maintain the same order when iterated.
Syntax
Following is the syntax of the Python OrderedDict() class −
collections.OrderedDict()
Parameters
It accepts dictionary as a parameter.
Return Value
It returns ordered dictionary.
Example
Following is an basic example of the Python OrderedDict() −
# A Python program to demonstrate working of OrderedDict from collections import OrderedDict od = OrderedDict() od['a'] = 1 od['b'] = 2 od['c'] = 3 od['d'] = 4 for key, value in od.items(): print(key,":",value)
Following is the output of the above code −
a : 1 b : 2 c : 3 d : 4
Key value change in OrderedDict
We can change the value of the keys but the positions remain unchanged in the OrderedDict().
Example
Here, we have defined an OrderedDict() and changed the key value but the order remainded same −
# A Python program to demonstrate working of key # value change in OrderedDict from collections import OrderedDict od = OrderedDict() od['a'] = 1 od['b'] = 2 od['c'] = 3 od['d'] = 4 print("The Original OrderedDict :",od) od['c'] = 5 print("The OrderedDict after changing key value :",od)
Following is the output of the above code −
The Original OrderedDict : OrderedDict([('a', 1), ('b', 2), ('c', 3), ('d', 4)]) The OrderedDict after changing key value : OrderedDict([('a', 1), ('b', 2), ('c', 5), ('d', 4)])
Equality Comparison in OrderedDict
We can compare two OrderedDict() using equality[==] operator. This operator checks whether the keys and values of the both the OrderedDict are same or not. Not only keys and values but also the order of the items is checked in the OrderedDict().
Example
In the following example, we have compared two OrderedDict() as these dictionaries are not equal it returned False −
from collections import OrderedDict # Create two ordered dictionaries with different orderings od1 = OrderedDict([('one', 1), ('two', 2), ('three', 3)]) od2 = OrderedDict([('three', 3), ('two', 2), ('one', 1)]) # Compare the ordered dictionaries for equality print("Comparison of the two OrderedDict :",od1 == od2)
Following is the output of the above code −
Comparison of the two OrderedDict : False
Usage of move_to_end() and update()
We can update the OrderedDict using update() method. Using move_to_end() we can move the key to end of the dictionary. It accepts key and last argument. If the last is True the key is moved to the end of the dictionary else, moved to the beginning of the dictionary.
Example
Here, we have defined OrderedDict and updated two values as the last is False the key is moved to the beginning of the OrderedDict() −
from collections import OrderedDict # Create an ordered dictionary of key-value pairs my_dict = OrderedDict([('one', 1), ('two', 2)]) # Add a new item to the end of the dictionary my_dict['four'] = 4 # Add a new item at a specific position in the dictionary my_dict.update([('five', 5)]) my_dict.move_to_end('five', last=False) print(my_dict)
Following is the output of the above code −
OrderedDict([('five', 5), ('one', 1), ('two', 2), ('four', 4)])