Sorting Dataframe By Value

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

We now implement sort method on the x-value column in descending orders i.e. ascending=False

sample_df.sort_values(by='x-val', ascending=False)

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