cudf.Series.nlargest#

Series.nlargest(n=5, keep='first')[source]#

Returns a new Series of the n largest element.

Parameters:

nint, default 5

Return this many descending sorted values.

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

When there are duplicate values that cannot all fit in a Series of n elements:

first : return the first n occurrences in order of appearance.
last : return the last n occurrences in reverse order of appearance.

Returns:

Series: The n largest values in the Series, sorted in decreasing order.

Examples

>>> import cudf
>>> countries_population = {"Italy": 59000000, "France": 65000000,
...                         "Malta": 434000, "Maldives": 434000,
...                         "Brunei": 434000, "Iceland": 337000,
...                         "Nauru": 11300, "Tuvalu": 11300,
...                         "Anguilla": 11300, "Montserrat": 5200}
>>> series = cudf.Series(countries_population)
>>> series
Italy         59000000
France        65000000
Malta           434000
Maldives        434000
Brunei          434000
Iceland         337000
Nauru            11300
Tuvalu           11300
Anguilla         11300
Montserrat        5200
dtype: int64
>>> series.nlargest()
France      65000000
Italy       59000000
Malta         434000
Maldives      434000
Brunei        434000
dtype: int64
>>> series.nlargest(3)
France    65000000
Italy     59000000
Malta       434000
dtype: int64
>>> series.nlargest(3, keep='last')
France    65000000
Italy     59000000
Brunei      434000
dtype: int64