pandas find top 10 values in column
#df.nlargest(How many largest Values, 'Col_name')
>>> df.nlargest(3, 'a')
a b c
3 11 c 3
1 10 b 2
2 8 d NaNpandas find top 10 values in column
#df.nlargest(How many largest Values, 'Col_name')
>>> df.nlargest(3, 'a')
a b c
3 11 c 3
1 10 b 2
2 8 d NaNnlargest
>>> df.nlargest(3, 'population')
population GDP alpha-2
France 65000000 2583560 FR
Italy 59000000 1937894 IT
Malta 434000 12011 MTonly get top 10 python dataframe
df[df['Ticket'] == 1].sort_values('Age')['Names'].head(10)Copyright © 2021 Codeinu
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