Use Nominatim to fill in missing city coordinates (requires specific data format used in the research). Dependencies: pandas, geopy

ClimateCityLocater.py

#!/usr/bin/python3
"""Will Bennett - rivermont.xyz - Jan 2025"""
import pandas as pd
from time import sleep
from geopy.geocoders import Nominatim

locater = Nominatim(user_agent='Python 3 - <rivermont.xyz>')

df = pd.read_csv('./location_v4.csv', encoding='utf-8', na_filter=False)

for i, row in df.iterrows():
    if row['City']:  # skip rows without city name
        # print(row['City'])
        if not row['X']:  # skip rows with location data
            city = row['City'] + ', ' + row['Country.Area']
            print(city)
            location = locater.geocode(city)
            print((location.latitude, location.longitude))
            df.loc[i, 'X'] = location.longitude  # set lon
            df.loc[i, 'Y'] = location.latitude  # set lat
            df.loc[i, 'lonlat_source'] = 'Nominatim'  # set data source
            sleep(0.6)  # prevent server kicking

df.to_csv('location_geocoded.csv', index=False)