Zip function and messy data

The zip () function creates objects that can be used to produce single items. This function can create pandas DataFrames by merging two lists.

Importing libraries and packages

# Mathematical operations and data manipulation
from itertools import zip_longest

Generating a list of tuples

countries = ["India", "USA", "France", "UK"]
capitals = ["Delhi", "Washington", "Paris", "London"]

countries_and_capitals = [t for t in zip(countries, capitals)]
countries_and_capitals

[('India', 'Delhi'),
 ('USA', 'Washington'),
 ('France', 'Paris'),
 ('UK', 'London')]

Generating a dict

countries_and_capitals_as_dict = dict(zip(countries, capitals))
countries_and_capitals_as_dict

{'India': 'Delhi', 'USA': 'Washington', 'France': 'Paris', 'UK': 'London'}

Handling messy data

Using the zip function to handle messy data in lists of unequal length.

countries = ["India", "USA", "France", "UK", "Brazil", "Japan"]
capitals = ["Delhi", "Washington", "Paris", "London"]

# the ziplongest function from the itertools module can be used
countries_and_capitals_as_dict_2 = dict(zip_longest(countries, capitals))
countries_and_capitals_as_dict_2

{'India': 'Delhi',
 'USA': 'Washington',
 'France': 'Paris',
 'UK': 'London',
 'Brazil': None,
 'Japan': None}