Sort Two column and create new columns for sorted values from dataframe using pandas

Question

I have below dataframe. I want to sort column 'X' from dataframe d1 and keep the order Y as per X values. and then create a new dataframe called df2 where sorting is done but original dataframe should remain as it is.

import pandas as pd
d1 = {'X':[1,3,5,6], 'Y':[0.5,0.7,0.2,0.9]}
df= pd.DataFrame(d1)

Original Dataframe

   X    Y
0  1  0.5
1  3  0.7
2  5  0.2
3  6  0.9

Expected DataFrame

   X    Y  X_Sorted  Y_Sorted
0  4  0.5         6       0.9
1  3  0.7         5       0.2
2  5  0.2         4       0.5
3  6  0.9         3       0.7

Here Y_Sorted as per index of X values.

Y values will remain same as per x_sorted values.

Answer 1

Use DataFrame.sort_values , DataFrame.add_suffix , create default index and last concat :

df1 = (df[['X','Y']].sort_values('X', ascending=False)
                    .add_suffix('_sorted')
                    .reset_index(drop=True))
df = pd.concat([df, df1], axis=1)
print (df)
   X    Y  X_sorted  Y_sorted
0  1  0.5         6       0.9
1  3  0.7         5       0.2
2  5  0.2         3       0.7
3  6  0.9         1       0.5