cudf.DataFrame.sort_values#

DataFrame.sort_values(by, axis=0, ascending=True, inplace=False, kind='quicksort', na_position='last', ignore_index=False)#

Sort by the values along either axis.

Parameters:
bystr or list of str

Name or list of names to sort by.

ascendingbool or list of bool, default True

Sort ascending vs. descending. Specify list for multiple sort orders. If this is a list of bools, must match the length of the by.

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

‘first’ puts nulls at the beginning, ‘last’ puts nulls at the end

ignore_indexbool, default False

If True, index will not be sorted.

Returns:
FrameFrame with sorted values.

Examples

>>> import cudf
>>> df = cudf.DataFrame()
>>> df['a'] = [0, 1, 2]
>>> df['b'] = [-3, 2, 0]
>>> df.sort_values('b')
   a  b
0  0 -3
2  2  0
1  1  2

Pandas Compatibility Note

DataFrame.sort_values, Series.sort_values

  • Support axis=’index’ only.

  • Not supporting: inplace, kind