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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

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pd df sort values by col putting na first

df.sort_values(by='col1', ascending=False, na_position='first')

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pandas dataframe sort by column name first 10 values

pd df sort values by col putting na first

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