Dict comprehension python

# dict comprehension we use same logic, with a difference of key:value pair
# {key:value for i in list}

fruits = ["apple", "banana", "cherry"]
print({f: len(f) for f in fruits})

#output
{'apple': 5, 'banana': 6, 'cherry': 6}

Python dictionary comprehension

dict1 = {'a': 1, 'b': 2, 'c': 3, 'd': 4, 'e': 5}
# Double each value in the dictionary
double_dict1 = {k:v*2 for (k,v) in dict1.items()}
# double_dict1 = {'e': 10, 'a': 2, 'c': 6, 'b': 4, 'd': 8} <-- new dict

Source: datacamp.com

Types of dict comprehension

# Dictionary Comprehension Types

{j:j*2 for i in range(10)}

#using if 
{j:j*2 for j in range(10) if j%2==0}

#using if and 
{j:j*2 for j in range(10) if j%2==0 and j%3==0}

#using if else
{j:(j*2 if j%2==0 and j%3==0 else 'invalid' )for j in range(10) }

Python dictionary comprehensions

names = ['Bruce', 'Clark', 'Peter', 'Logan', 'Wade']
heros = ['Batman', 'Superman', 'Spiderman', 'Wolverine', 'Deadpool']

my_dict= {name: hero for name, hero in zip(name,hero)}

Source: datacamp.com

Python dict comprehension

>>> {x: x**2 for x in (2, 4, 6)}
{2: 4, 4: 16, 6: 36}

Source: docs.python.org

Dict comprehensions

>>> print {i : chr(65+i) for i in range(4)}
{0 : 'A', 1 : 'B', 2 : 'C', 3 : 'D'}

Source: python.org

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