Pandas df reorder rows and columns according to integer index list

Question

I have the following structure for my data frame:

          col1    col2   col3
 myindex
 apple    A       B      C
 pear     Ab      Bb     Cb
 turtle   A1      B1     C1

Now I get two lists, one with reordered column indices, one with reordered row indices, but as integers, for example rowindices = [3,1,2] and colindices = [1,3,2] . The data frame should now be reordered according to these indices and then look like this:

          col1   col3   col2
 myindex
 turtle   A1     C1     B1
 apple    A      C      B
 pear     Ab     Cb     Bb

How can this be done?

Answer 1

Use DataFrame.iloc and because python counts from 0 convert list to arrays and subtract 1 :

rowindices = [3,1,2]
colindices = [1,3,2]

df = df.iloc[np.array(rowindices)-1, np.array(colindices)-1]
print (df)
        col1 col3 col2
myindex               
turtle    A1   C1   B1
apple      A    C    B
pear      Ab   Cb   Bb

If is possible change values in lists solution is simplier:

rowindices1 = [2,0,1]
colindices1 = [0,2,1]

df = df.iloc[rowindices1, colindices1]
print (df)
        col1 col3 col2
myindex               
turtle    A1   C1   B1
apple      A    C    B
pear      Ab   Cb   Bb