pandas dataframe sort by column name first 10 values
print df 0 Bytes Client Ip 0 1 1 1000 192.168.10.2 1 0 0 2000 192.168.10.12 2 2 2 500 192.168.10.4 3 3 3 159 192.168.10.56 print df.nlargest(3, 'Client') 0 Bytes Client Ip 1 0 0 2000 192.168.10.12 0 1 1 1000 192.168.10.2 2 2 2 500 192.168.10.4