Euclidean Distance Matrix Using Pandas

Question

I have a .csv file that contains city, latitude and longitude data in the below format:

CITY|LATITUDE|LONGITUDE
A|40.745392|-73.978364
B|42.562786|-114.460503
C|         


        

Answer 1

for i in df["CITY"]:
    for j in df["CITY"]:
        row = df[df["CITY"] == j][["LATITUDE", "LONGITUDE"]]
        latitude = row["LATITUDE"].tolist()[0]
        longitude = row["LONGITUDE"].tolist()[0]
        df.loc[df['CITY'] == i, j] = ((df["LATITUDE"] - latitude)**2 + (df["LONGITUDE"] - longitude)**2)**0.5

df = df.drop(["CITY", "LATITUDE", "LONGITUDE"], axis=1)

This works