bigframes.geopandas.GeoSeries.sort_values#

GeoSeries.sort_values(*, axis=0, inplace: bool = False, ascending=True, kind: str = 'quicksort', na_position: Literal['first', 'last'] = 'last') → Series | None#

Sort by the values.

Sort a Series in ascending or descending order by some criterion.

Examples:

>>> s = bpd.Series([np.nan, 1, 3, 10, 5])
>>> s
0    <NA>
1     1.0
2     3.0
3    10.0
4     5.0
dtype: Float64

Sort values ascending order (default behaviour):

>>> s.sort_values(ascending=True)
   1.0
   3.0
   5.0
  10.0
  <NA>
dtype: Float64

Sort values descending order:

>>> s.sort_values(ascending=False)
  10.0
   5.0
   3.0
   1.0
  <NA>
dtype: Float64

Sort values putting NAs first:

>>> s.sort_values(na_position='first')
  <NA>
   1.0
   3.0
   5.0
  10.0
dtype: Float64

Sort a series of strings:

>>> s = bpd.Series(['z', 'b', 'd', 'a', 'c'])
>>> s
0    z
1    b
2    d
3    a
4    c
dtype: string

>>> s.sort_values()
  a
  b
  c
  d
  z
dtype: string

Parameters:

axis (0 or 'index') – Unused. Parameter needed for compatibility with DataFrame.
inplace (bool, default False) – Whether to modify the Series rather than creating a new one.
ascending (bool or list of bools, default True) – If True, sort values in ascending order, otherwise descending.
kind (str, default to 'quicksort') – Choice of sorting algorithm. Accepts quicksort’, ‘mergesort’, ‘heapsort’, ‘stable’. Ignored except when determining whether to sort stably. ‘mergesort’ or ‘stable’ will result in stable reorder
na_position ({'first' or 'last'}, default 'last') – Argument ‘first’ puts NaNs at the beginning, ‘last’ puts NaNs at the end.

Returns:

Series ordered by values or None if inplace=True.

Return type:

bigframes.pandas.Series or None

bigframes.geopandas.GeoSeries.sort_values#

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