595-BigCountries.py

# 595. Big Countries
# Table: World
# +-------------+---------+
# | Column Name | Type    |
# +-------------+---------+
# | name        | varchar |
# | continent   | varchar |
# | area        | int     |
# | population  | int     |
# | gdp         | bigint  |
# +-------------+---------+
# name is the primary key (column with unique values) for this table.
# Each row of this table gives information about the name of a country, the continent to which it belongs, its area, the population, and its GDP value.
# A country is big if:
#     it has an area of at least three million (i.e., 3000000 km2), or
#     it has a population of at least twenty-five million (i.e., 25000000).

# Write a solution to find the name, population, and area of the big countries.
# Return the result table in any order.
# The result format is in the following example.

# Example 1:
# Input: 
# World table:
# +-------------+-----------+---------+------------+--------------+
# | name        | continent | area    | population | gdp          |
# +-------------+-----------+---------+------------+--------------+
# | Afghanistan | Asia      | 652230  | 25500100   | 20343000000  |
# | Albania     | Europe    | 28748   | 2831741    | 12960000000  |
# | Algeria     | Africa    | 2381741 | 37100000   | 188681000000 |
# | Andorra     | Europe    | 468     | 78115      | 3712000000   |
# | Angola      | Africa    | 1246700 | 20609294   | 100990000000 |
# +-------------+-----------+---------+------------+--------------+
# Output: 
# +-------------+------------+---------+
# | name        | population | area    |
# +-------------+------------+---------+
# | Afghanistan | 25500100   | 652230  |
# | Algeria     | 37100000   | 2381741 |
# +-------------+------------+---------+

import pandas as pd

def big_countries(world: pd.DataFrame) -> pd.DataFrame:
    # it has an area of at least three million (i.e., 3000000 km2), or
    # it has a population of at least twenty-five million (i.e., 25000000).
    filter = (world['area'] >= 3000000) | (world['population'] >= 25000000)
    # a solution to find the name, population, and area of the big countries.
    return world[filter][["name","population","area"]]


if __name__ == "__main__":
    data = [['Afghanistan', 'Asia', 652230, 25500100, 20343000000], ['Albania', 'Europe', 28748, 2831741, 12960000000], ['Algeria', 'Africa', 2381741, 37100000, 188681000000], ['Andorra', 'Europe', 468, 78115, 3712000000], ['Angola', 'Africa', 1246700, 20609294, 100990000000]]
    world = pd.DataFrame(data, columns=['name', 'continent', 'area', 'population', 'gdp']).astype({'name':'object', 'continent':'object', 'area':'Int64', 'population':'Int64', 'gdp':'Int64'})
    print(big_countries(world))