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pandas.DataFrame.nlargest

DataFrame.nlargest(n, columns, keep='first')[source]

Get the rows of a DataFrame sorted by the n largest values of columns.

Parameters:

n : int

Number of items to retrieve

columns : list or str

Column name or names to order by

keep : {‘first’, ‘last’}, default ‘first’

Where there are duplicate values: - first : take the first occurrence. - last : take the last occurrence.

Returns:

DataFrame

Examples

>>> df = pd.DataFrame({'a': [1, 10, 8, 11, -1],
...                    'b': list('abdce'),
...                    'c': [1.0, 2.0, np.nan, 3.0, 4.0]})
>>> df.nlargest(3, 'a')
    a  b   c
3  11  c   3
1  10  b   2
2   8  d NaN
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