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 NaNpandas top 10 values of a column
df.sort_values(['item', 'value'], ascending=False).groupby('item').head(10)Copyright © 2021 Codeinu
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