Adding a search by fips would ideal.

[BudBernhard]

Queried CHAT GPT chat.openai, "I have a data set with census fips identifiers, i'd like to find out the zip code of the fips for a python df" and then "instead of printing the zip code append it the row that the fips was in"

from uszipcode import SearchEngine

# Create a search object
search = SearchEngine()

# Assuming your DataFrame is named 'df' and the FIPS identifiers are in a column named 'fips'
df['zip_code'] = None  # Create a new column to store the zip codes

for index, row in df.iterrows():
    fips = row['fips']
    result = search.by_county_fips(fips)

    if result:
        zip_code = result[0].zipcode
        df.at[index, 'zip_code'] = zip_code  # Assign the zip code to the 'zip_code' column in the current row
    else:
        df.at[index, 'zip_code'] = 'Not Found'  # If no zip code is found, assign a placeholder value

# Print the updated DataFrame
print(df)

Nice try AI