You will need the below DataFrames to answer the following questions. country_map_df = pd.read_csv('https://raw.githubusercontent.com/Explore-AI/Public-Data/master/AnalyseProject/country_code_map.csv', index_col='Country Code') population_df = pd.read_csv('https://raw.githubusercontent.com/Explore-AI/Public-
You will need the below DataFrames to answer the following questions.
country_map_df = pd.read_csv('https://raw.githubusercontent.com/Explore-
population_df = pd.read_csv('https://raw.githubusercontent.com/Explore-AI/Public-Data/master/AnalyseProject/world_population.csv', index_col='Country Code')
meta_df = pd.read_csv('https://raw.githubusercontent.com/Explore-AI/Public-Data/master/AnalyseProject/metadata.csv', index_col='Country Code')
DataFrame specifications:
The DataFrames provide information about the population of the world for various years. Some things to note:
- All DataFrames have a Country Code as an index, which is a three-letter code referring to a country.
- The country_map_df data maps the Country Code to a Country Name.
- The population_df data contains information on the population for a given country between the years 1960 and 2017.
- The meta_df data contains meta-information about each country, including its geographical region, its income group, and a comment on the country as a whole.
Question
Write a function that will return a list of countries for a specified region and income group. If the specified region and income group do not return a country, return None as the value.
Function specifications
Argument(s):
- region (string) →→ the region you want to query.
- income_group (string) →→ the income group you want to query.
Return:
- countries (list) →→ return a list of countries that match the search criteria or None if no countries are found.
Expected output
find_countries_by_region_and_income('South Asia','High income')==None find_countries_by_region_and_income('Europe & Central Asia','Low income')==['Tajikistan'] find_countries_by_region_and_income('Sub-Saharan Africa','Upper middle income')==['Botswana','Gabon','Equatorial Guinea','Mauritius','Namibia','South Africa']
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