How to find the closest match based on 2 keys from one dataframe to another?

Question

I have 2 dataframes I\'m working with. One has a bunch of locations and coordinates (longitude, latitude). The other is a weather data set with data from weather stations al

Answer 1

So I appreciate that this is a bit messy, but I used something similar to match genetic data between tables. It relies on the location file longitude and latitude being within 5 of those on the weather file, but these can be changed if need be.

rows=range(location.shape[0])
weath_rows = range(weather.shape[0])
for r in rows:
    lat = location.iloc[r,1]
    max_lat = lat +5
    min_lat = lat -5
    lon = location.iloc[r,2]
    max_lon = lon +5
    min_lon = lon -5
    for w in weath_rows:
        if (min_lat <= weather.iloc[w,2] <= max_lat) and (min_lon <= weather.iloc[w,3] <= max_lon):
            location['Station_Name'] = weather.iloc[w,1]