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:

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

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

Links:

http://pandas.pydata.org/pandas-docs/version/0.19.2/generated/pandas.DataFrame.nlargest.html

doc_Pandas

2017-01-12 04:46:11

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