nlargest
>>> df.nlargest(3, 'population')
population GDP alpha-2
France 65000000 2583560 FR
Italy 59000000 1937894 IT
Malta 434000 12011 MT
nlargest
>>> df.nlargest(3, 'population')
population GDP alpha-2
France 65000000 2583560 FR
Italy 59000000 1937894 IT
Malta 434000 12011 MT
nlargest hierarchy series pandas
print (grouped.groupby(level='yearmonth').nlargest(3).reset_index(level=0, drop=True))
yearmonth product
201601 E 180
A 100
B 90
201602 F 220
A 200
C 120
201603 B 120
C 110
D 110
Name: val, dtype: int64
python .nlargest
#The .nlargest(n, columns) returns in descending order the n largest
#values in the specified column in the dataframe
df.nlargest(10, 'Volume')
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