from worldfinder._internals import load_data
[docs]
def get_country_statistic(country, statistic):
'''
Returns an integer or float representing a specific piece of
information about a country. Possible statistics include population, GDP,
and surface area.
Parameters
----------
country: str
The name of a country
statistic: str
The name of the statistic of interest
Returns
-------
string
The value corresponding to the specified statistic for a specified
country.
Raises:
-------
TypeError
If country or statistic are not a string.
ValueError
If country or statistic contain an empty string OR
If statistic is not population, gdp, birth rate, cpi, or unemployment
rate OR
If country is not a valid country
Examples
-------
>>> getCountryStatistic("Canada", "population")
'36,991,981'
'''
# Check that country is a string
if not isinstance(country, str):
raise TypeError(
f"country should be a string, instead got '{type(country)}'"
)
# Check that statistic is a string
if not isinstance(statistic, str):
raise TypeError(
f"statistic should be a string, instead got '{type(statistic)}'"
)
# Check that country is not an empty string
if country == '':
raise ValueError(
'country cannot be empty string'
)
# Check that statistic is not an empty string
if statistic == '':
raise ValueError(
'statistic cannot be empty string'
)
stat_list = ["population", "gdp", "birth rate", "cpi", "unemployment rate"]
# Check that statistic is a correct option
if statistic.lower().strip() not in stat_list:
raise ValueError(
'statistic must be population, gdp, birth rate, cpi, or '
'unemployment rate'
)
# Load country csv data in to dataframe
country_df = load_data("data", "countries.csv")
single_country_df = country_df[
country_df["Country"].str.lower() == country.lower().strip()
]
# Check that country exists in dataframe
if single_country_df.empty:
raise ValueError(
f"country '{country}' is not a valid country name."
)
# Convert column names to lowercase
single_country_df.columns = single_country_df.columns.str.lower()
stat = single_country_df.iloc[0][statistic.lower().strip()]
return stat