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Different ways of sorting Dictionary by Keys and Reverse sorting by keys
  • Difficulty Level : Expert
  • Last Updated : 01 Oct, 2020

Prerequisite: Dictionaries in Python

A dictionary is a collection which is unordered, changeable and indexed. In Python, dictionaries are written with curly brackets, and they have keys and values. We can access the values of the dictionary using keys. In this article, we will discuss 10 different ways of sorting the Python dictionary by keys and also reverse sorting by keys.

Using sorted() and keys():

keys() method returns a view object that displays a list of all the keys in the dictionary. sorted() is used to sort the keys of the dictionary.

Examples:

Input:
my_dict = {'c':3, 'a':1, 'd':4, 'b':2}

Output:
a: 1
b: 2
c: 3
d: 4

Python3




# Initialising a dictionary
my_dict = {'c':3, 'a':1, 'd':4, 'b':2}
  
# Sorting dictionary
sorted_dict = my_dict.keys()
sorted_dict = sorted(sorted_dict)
  
# Printing sorted dictionary
print("Sorted dictionary using sorted() and keys() is : ")
for key in sorted_dict:
    print(key,':', my_dict[key])
Output



Sorted dictionary using sorted() and keys() is : 
a : 1
b : 2
c : 3
d : 4

Using sorted() and items():

items() method is used to return the list with all dictionary keys with values. It returns a view object that displays a list of a given dictionary’s (key, value) tuple pair. sorted() is used to sort the keys of the dictionary.

Examples:

Input:
my_dict = {2:'three', 1:'two', 4:'five', 3:'four'}

Output:
1  'two'
2  'three'
3  'Four'
4  'Five'

Python3




# Initialising dictionary
my_dict = {2: 'three', 1: 'two', 4: 'five', 3: 'four'}
  
# Sorting dictionary
sorted_dict = sorted(my_dict.items())
  
# Printing sorted dictionary
print("Sorted dictionary using sorted() and items() is :")
for k, v in sorted_dict:
    print(k, v)
Output
Sorted dictionary using sorted() and items() is :
1 two
2 three
3 four
4 five

Using sorted() and keys() in single line:

Here, we use both sorted() and keys() in a single line.

Examples:

Input:
my_dict = {'c':3, 'a':1, 'd':4, 'b':2}

Output:
Sorted dictionary is :  ['a','b','c','d']

Python3




# Initialising a dictionary
my_dict = {'c': 3, 'a': 1, 'd': 4, 'b': 2}
# Sorting dictionary
sorted_dict = sorted(my_dict.keys())
  
# Printing sorted dictionary
print("Sorted dictionary is : ", sorted_dict)
Output
Sorted dictionary is :  ['a', 'b', 'c', 'd']

Using sorted() and items() in single line

Here, we use both sorted() and items() in a single line.

Examples:



Input:
my_dict = {'red':'#FF0000', 'green':'#008000', 'black':'#000000', 'white':'#FFFFFF'}

Output:
Sorted dictionary is : 
black  :: #000000
green  :: #008000
red  :: #FF0000
white  :: #FFFFFF

Python3




# Initialising a dictionary
my_dict = {'red': '#FF0000', 'green': '#008000',
           'black': '#000000', 'white': '#FFFFFF'}
  
# Sorting dictionary in one line
sorted_dict = dict(sorted(my_dict .items()))
  
# Printing sorted dictionary
print("Sorted dictionary is : ")
for elem in sorted(sorted_dict.items()):
    print(elem[0], " ::", elem[1])
Output
Sorted dictionary is : 
black  :: #000000
green  :: #008000
red  :: #FF0000
white  :: #FFFFFF

Using a lambda function 

The lambda function returns the key(0th element) for a specific item tuple, When these are passed to the sorted() method, it returns a sorted sequence which is then type-casted into a dictionary.

Examples:

Input:
my_dict = {'a': 23, 'g': 67, 'e': 12, 45: 90}

Output:
Sorted dictionary using lambda is :  {'e': 12, 'a': 23, 'g': 67, 45: 90}

Python3




# Initialising a dictionary
my_dict = {'a': 23, 'g': 67, 'e': 12, 45: 90}
  
# Sorting dictionary using lambda function
sorted_dict = dict(sorted(my_dict.items(), key=lambda x: x[1]))
  
# Printing sorted dictionary
print("Sorted dictionary using lambda is : ", sorted_dict)
Output
Sorted dictionary using lambda is :  {'e': 12, 'a': 23, 'g': 67, 45: 90}

6. Using json :

Python doesn’t allow sorting of a dictionary. But while converting the dictionary to a JSON, you can explicitly sort it so that the resulting JSON is sorted by keys. This is true for the multidimensional dictionary.

Examples:

Input:
my_dict = {"b": 2, "c": 3, "a": 1,"d":4}

Output:
Sorted dictionary is :  {"a": 1, "b": 2, "c": 3,"d":4}

Python3




# Importing json
import json
  
# Initialising a dictionary
my_dict = {"b": 2, "c": 3, "a": 1,"d":4}
  
# Sorting and printind in a single line
print("Sorted dictionary is : ", json.dumps(my_dict, sort_keys=True))
Output
Sorted dictionary is :  {"a": 1, "b": 2, "c": 3, "d": 4}

Using pprint 

The Python pprint module actually already sorts dictionaries by key. The pprint module provides a capability to “pretty-print” arbitrary Python data structures in a form which can be used as input to the interpreter.

Examples:

Input:
my_dict = {1: 2, 3: 4, 4: 3, 2: 1, 0: 0}

Output:
Sorted dictionary is :
{0: 0, 1: 2, 2: 1, 3: 4, 4: 3}

Python3




# Importing pprint
import pprint
  
# Initialising a dictionary
my_dict = {1: 2, 3: 4, 4: 3, 2: 1, 0: 0}
  
# Sorting and printing in a single line
print("Sorted dictionary is :")
pprint.pprint(my_dict)

Using collections and OrderedDict 

The OrderedDict is a standard library class, which is located in the collections module. OrderedDict maintains the orders of keys as inserted.

Examples:

Input:
my_dict = {"b": 2, "c": 3, "a": 1,"d":4}1}

Output:
OrderedDict([('a', 1), ('b', 2), ('c', 3), ('d', 4)])

Python




# Importing OrderedDict
from collections import OrderedDict
  
# Initialising a dictionary
my_dict = {"b": 2, "c": 3, "a": 1,"d":4}
  
# Sorting dictionary
sorted_dict = OrderedDict(sorted(my_dict.items()))
  
# Printing sorted dictionary
print(sorted_dict)
Output
OrderedDict([('a', 1), ('b', 2), ('c', 3), ('d', 4)])

Using sortedcontainers and SortedDict :

Sorted dict is a sorted mutable mapping in which keys are maintained in sorted order. Sorted dict is a sorted mutable mapping. Sorted dict inherits from dict to store items and maintains a sorted list of keys. For this, we need to install sortedcontainers.

sudo pip install sortedcontainers 

Examples:

Input:
my_dict = {"b": 2, "c": 3, "a": 1,"d":4}

Output:
{"a": 1, "b": 2, "c": 3,"d":4}

Python3




# Importing SortedDict
from sortedcontainers import SortedDict
  
# Initialising a dictionary
my_dict = {"b": 2, "c": 3, "a": 1,"d":4}
  
# Sorting dictionary
sorted_dict = SortedDict(my_dict)
  
# Printing sorted dictionary
print(sorted_dict)

Output:

SortedDict({'a': 1, 'b': 2, 'c': 3, 'd': 4})

Using class and function

Examples:

Input:
{"b": 2, "c": 3, "a": 1,"d":4}

Output:
{"a": 1, "b": 2, "c": 3,"d":4}

Python3




class SortedDisplayDict(dict):
    def __str__(self):
        return "{" + ", ".join("%r: %r" % (key, self[key]) for key in sorted(self)) + "}"
  
  
# Initialising dictionary and calling class
my_dict = SortedDisplayDict({"b": 2, "c": 3, "a": 1,"d":4})
  
# Printing dictionary
print(my_dict)
Output
{'a': 1, 'b': 2, 'c': 3, 'd': 4}

Reverse sorting dictionary by keys

Examples:

Input:
my_dict = {"b": 2, "c": 3, "a": 1,"d":4}

Output:
Sorted dictionary is :
['a','b','c','d']

Python3




# Initialising a dictionary
my_dict = {"b": 2, "c": 3, "a": 1,"d":4}
  
# Reverse sorting a dictionary
sorted_dict = sorted(my_dict, reverse=True)
  
# Printing dictionary
print("Sorted dictionary is :")
  
for k in sorted_dict:
  print(k,':',my_dict[k])
Output
Sorted dictionary is :
d : 4
c : 3
b : 2
a : 1

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