sort dataframe by column
df.sort_values(by='col1', ascending=False)sort dataframe by column
df.sort_values(by='col1', ascending=False)df sort values
>>> df.sort_values(by=['col1'], ascending = False)
col1 col2 col3
0 A 2 0
1 A 1 1
2 B 9 9
5 C 4 3
4 D 7 2
3 NaN 8 4sorting rows and columns in pandas
df.sort_values(by="ColumnName", axis=0, ascending=False, inplace=False, kind='quicksort')
#axis 0 is rows and axis 1 is columns. For axis 0 by needs to contain column namepandas 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 2 500 192.168.10.4Copyright © 2021 Codeinu
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