pandas.DataFrame.nlargest

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

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

New in version 0.17.0.

Parameters:	n : int Number of items to retrieve columns : list or str Column name or names to order by keep : {‘first’, ‘last’, False}, default ‘first’ Where there are duplicate values: - first : take the first occurrence. - last : take the last occurrence.
Returns:	DataFrame

Examples

>>> df = 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