Python3 Dictionaries DS

Python Data Structures : Dictionaries

Dictionary

         Python dictionary is an unordered collection of items. While other compound data types have only value as an element, a dictionary has a key : value pair.

Dict Creation :

 

Eg:
        #empty dictionary
       my_dict={}

        #dictionary with integers as keys
       my_dict={1:'a',2:'b"}
       print(my_dict)
       
       #dictionary with mixed keys
       my_dict={'name':'satish',1:['abc','xy']}
       print(my_dict)

         #create empty dictionary using dict( )
       my_dict=dict()

       my_dict=dict([(1,'abc'),(2,'xy')])     #create a dict with list of tuples
       print(my_dict)

output:  {1:'a',2:'b'}
              {'name':'satish',1:['abc','xy']}
              {1:'abc',2:'xy'}   

Dict Access :

Eg:
       my_dict={'name': 'suma','year':2020}
       print(my_dict['name'])
        #if key is not present it gives KeyError
       print(my_dict['address'])


output: suma
            ----------------------------------------------------------------------
             --
             KeyError
             KeyError: 'address'

get() function:       

       #another way of acessing key
       print(my_dict.get('year')
        #if key is not present it will give None using get method
       print(my_dict.get('address')
       
output:  2020
              None

Dict Add or Modify Elements :

Eg:
       my_dict={'name':'uma','year':2020,'address':'kadapa'}
       #update name
       my_dict['name']='suma'
       print(my_dict)

        #add new key
       my_dict['degree']='B.Tech'
       print(my_dict)

output: {'name':'suma','year':2020,'address':'kadapa'}
              {'name':'suma', 'year':2020, 'address':'kadapa' ,'degree':'B.Tech'}
 
Dict Delete or Remove Element :

Eg: 
       my_dict={'name':'suma','year':2020,'address':'kadapa'}
        #remove a particular item
       print(my_dict.pop('year'))
       print(my_dict)

output:  2020
              {'name':'suma','address':'kadapa'}

Eg:
       my_dict={'name':'suma','year':2020,'address':'kadapa'}
       #remove any arbitrary key
       my_dict.popitem()            
       print(my_dict)

output:  {'name':'suma','year':2020}

Eg:
       squares={2:4,3:9,4:16,5:25}
       del squares[2]
       print(squares)
       squares.clear( )
       print(squares) 

output: {3:9,4:16,5:25}
              { } 

Eg:
       squares={2:4,3:9,4:16}
       #delete dictionary itself
       del squares
       print(squares)

output:  -----------------------------------------------------------
              --
              NameError 
              NameError: name 'square' is not  defined

Dictionary Methods :

Eg:
       squares={2:4,3:9,4:16,5:25}
       my_dict=squares.copy()
       print(my_dict)

output:  {2:4,3:9,4:16,5:25}


       #fromkeys[seq[ ,v]]  ->Return a new dictonary with keys from seq and values for all keys is same
       subject={ }.fromkeys(['math','english','social'],0)
       print(subject)

output:  {'math':0,'english':0,'social':0}

Eg:
       subjects={2:4,3:9,4:16,5:25}
       print(subject.items( ))        #return a new view of the dictionary items (key,value)

output:  dict_items([(2,4),(3,9),(4,16),(5,25)])

Eg:
       subject={2:4,3:9,4:16,5:25}
       print(subject.keys( ))            #return a new view of the dictionary keys

output:  dict_keys([2,3,4,5])

Eg:
       subject={2:4,3:9,4:16,5:25}
       print(subject.values( ))        #return a new view of the dictionary values

output:  dict_values([4,9,16,25])
   
       #get list of all available methods and attributes of dictionary
       d={ }
       print(dir(d))
 
output:  ['__class__','__contain__','__delattr__','__delitem__','__dir__','__doc__','__eq__','__format__','__gr__','__qetattribute__','__getitem__','__gt__','__hash__','__init__','__init_subclass__',''__iter__','__le__','__len__','__lt__,'__ne__','__new__','__reduce__','__reduce_ex__','__repr__','__setaattr__','__setitem__','__sizeof__','__str__','__subclasshook__','clear','copy','fromkeys','get','items','keys','pop','popitem','setdefault','update','values']

Dict Comprehension :

Eg:
       #dict comprehension are just like list comprehensions but for dictionaries
       d={'a':1,'b':2,'c':3}
       for pair in d.items( ):  
             print(pair)

output:  ('a',1)
               ('c',3)
               ('b',2)

Eg 1:
       #Creating a new dictionary with only pairs where the value is larger than 2
       d={'a':1,'b':2,'c':3,'d':4,'e':5}
       new_dict={k:v for k,v in d.items( ) if v>2}
       print(new_dict)

output:  {'c':3,'d':4,'e':5}

Eg 2:
       d={'a':1,'b':2,'c':3,'d':4}
       d={k+'c':v*2 for k,v in d.items( ) if v>2}]
       print(d)

output: {'cc':6,'dc':8,'ec':10}





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