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

the matrix can be directly created with cdist in scipy.spatial.distance:

from scipy.spatial.distance import cdist
df_array = df[["LATITUDE", "LONGITUDE"]].to_numpy()
dist_mat = cdist(df_array, df_array)
pd.DataFrame(dist_mat, columns = df["CITY"], index = df["CITY"])