Compute Euclidean distance between rows of two pandas dataframes

Question

I have two pandas dataframes d1 and d2 that look like these:

d1 looks like:

  output   value1   value2   value         


        

Answer 1

By using scipy.spatial.distance.cdist:

import scipy

ary = scipy.spatial.distance.cdist(d1.iloc[:,1:], d2.iloc[:,1:], metric='euclidean')

pd.DataFrame(ary)
Out[1274]: 
            0           1          2           3           4          5
0    0.000000  101.167485  65.886266    0.000000  101.167485  65.886266
1  101.167485    0.000000  71.808495  101.167485    0.000000  71.808495
2   65.886266   71.808495   0.000000   65.886266   71.808495   0.000000