Sorting Dataframe By Row Index

We begin by generating some random data

import pandas as pd
import numpy as np

sample_df = pd.DataFrame( data=np.random.rand(18).reshape(6,3), 
                          columns=['x-val', 'y-val', 'z-val'] )
sample_df

	x-val	y-val	z-val
0	0.929960	0.686751	0.002423
1	0.959458	0.654311	0.391251
2	0.537430	0.391395	0.305878
3	0.087757	0.195576	0.768340
4	0.837864	0.353326	0.544702
5	0.535682	0.807780	0.379437

Implementing the column index sort. For column index, we set axis=1. For row index we set axis=0.

sample_df.sort_index(ascending=False, axis=1)

	x-val	y-val	z-val
5	0.535682	0.807780	0.379437
4	0.837864	0.353326	0.544702
3	0.087757	0.195576	0.768340
2	0.537430	0.391395	0.305878
1	0.959458	0.654311	0.391251
0	0.929960	0.686751	0.002423