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| import requests | |
| import pandas as pd | |
| API_KEY = "ea9637fd9f0c41f3e2e932faa99dfcd76f8041aa" | |
| def fetch_county_data(): | |
| """Fetch county-level Census data, return as DataFrame.""" | |
| county_url = ( | |
| f"https://api.census.gov/data/2019/pep/population" | |
| f"?get=NAME&for=county:*&key={API_KEY}" | |
| ) | |
| r_counties = requests.get(county_url) | |
| county_data = r_counties.json() | |
| df = pd.DataFrame(county_data[1:], columns=county_data[0]) | |
| # Split the NAME column into state and county | |
| df[['countyName', 'stateName']] = df['NAME'].str.split(',', expand=True) | |
| # Combine state and county to form FIPS | |
| df["FIPS"] = df["state"].str.zfill(2) + df["county"].str.zfill(3) | |
| df.to_csv("./us_counties.csv", index=False) | |
| fetch_county_data() |