Simplify haversine_plus_manhattan dist calculation

netatmoqc/metrics.py

@@ -141,9 +141,7 @@ def calc_distance_matrix_haversine_plus_manhattan_numba(df, weights):
         i, j = _data_index_to_matrix_index(nrows, idist, check_bounds=False)
         rtn[idist] = weights_internal[0] * haversine_distance(
             df[i], df[j]
-        ) + np.sum(
-            np.sqrt((weights_internal[1:] * (df[j, 2:] - df[i, 2:])) ** 2)
-        )
+        ) + np.sum(np.abs(weights_internal[1:] * (df[j, 2:] - df[i, 2:])))
 
     return rtn