Python Concept for Data Science : Dictionaries

What are Python Dictionaries?

Dictionary is a built-in Python Data Structure that is mutable. It is similar to List, Set, and Tuples. However, it is not indexed by a sequence of numbers but indexed based on keys and can be understood as associative arrays. It consists of a key with an associated value.

How to Create a Dictionary in Python?

A dictionary is represented by a pair of curly braces {} in which enclosed are the key: value pairs separated by a comma.

Let's look at the syntax of a dictionary: dictionary = {"key_1": "value_1", "key_2": "value_2", "key_3": "value_3"}

Example:

my_dict1 = {'Fruit': 'Apple', 'Vegetable' : 'Potato', 'Food' : 'Fried Chicken'}
print(my_dict1)

The output is:

{'Fruit' : 'Apple', 'Vegetable' : 'Potato', 'Food' : 'Fried Chicken'}

Make a Dictionary with dict() command:

Using the dict() function, you can convert a compatible combination of constructs into a Python dictionary. Let’s take an example for converting a list into the dictionary with dict() command:

# first create the list
list_1 = ([1,