verschmelzen 3 Datenrahmen in eine Matrix

Question

Ich habe 3 Datenrahmen.

1. warehouse_to_outlet_distance.

   wh_name outlet_id distance 
   aaa  111   10 
   aaa  222   20 
   aaa  333   30 
   

2. outlet_to_outlet_distance

   source_outlet_id dest_outlet_id distance 
   111     222   5 
   111     333   7 
   222     111   8 
   222     333   6 
   333     111   10 
   333     222   12 
   

3. outlet_to_warehouse_distance

   outlet_id wh_name dist 
   111   aaa  13 
   222   aaa  15 
   333   aaa  11 
   

Ich möchte diese in eine martix konvertieren:

 0 111  222  333 
    0 0  10  20  30  
111 13  0  5   7 
222 15  8  0   6 
333 11  10  12   0 

wobei 0 representd 'Lager'
in Reihe 1, der Abstand zwischen Lager (0) 111 zum Auslass , die

in der jeweiligen Zelle gelegt wird

Answer 1

Verwendung unstack oder pivot für umformen und fügen Sie dann neue Zeile und neue Spalte, letzter Sortierindex und Spaltennamen:

df = outlet_to_outlet_distance.set_index(['source_outlet_id','dest_outlet_id'])['distance'] 
           .unstack(fill_value=0) 
df[0] = outlet_to_warehouse_distance.set_index('outlet_id')['dist'] 
#appended 0 Series for avoid NaN in 0,0 
df.loc[0] = warehouse_to_outlet_distance.set_index('outlet_id')['distance'] 
             .append(pd.Series(0, index=[0])) 
df = df.sort_index().sort_index(axis=1) 
df = df.rename_axis(None).rename_axis(None, 1) 
print (df) 
    0 111 222 333 
0  0 10 20 30 
111 13 0 5 7 
222 15 8 0 6 
333 11 10 12 0 

Alternative:

df = outlet_to_outlet_distance.pivot('source_outlet_id','dest_outlet_id', 'distance') 
df[0] = outlet_to_warehouse_distance.set_index('outlet_id')['dist'] 
df.loc[0] = warehouse_to_outlet_distance.set_index('outlet_id')['distance'] 
df = df.sort_index().sort_index(axis=1).fillna(0).astype(int) 
df = df.rename_axis(None).rename_axis(None, 1) 
print (df) 
    0 111 222 333 
0  0 10 20 30 
111 13 0 5 7 
222 15 8 0 6 
333 11 10 12 0