Pandas sort

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By columns 

df.sort_values(by=['col1'])
df.sort_values(by=['col1', 'col2'])
df.sort_values(by='col1', ascending=False)
df.sort_values(by='col1', ascending=False, na_position='first')
By rows 
0     col1 col2 col3
row1  222  16    23
row2  333  31    11
row3  444  34    11


df.sort_values(by='row2',axis=1)
output: 
0     col1 col2 col3
row1  23   16   222
row2  11   31   333
row3  11   34   444


df.sort_values(by='row2',axis=1,ascending=False)
output: 
0     col1 col2 col3
row1  222  16   23
row2  333  31   11
row3  444  34   11
By multiple rows 

df.sort_values(by=['row1','row2'],axis=1,ascending=False)