torcharrow.DataFrame.sort

DataFrame.sort(by: ty.Optional[ty.List[str]] = None, ascending=True, na_position: ty.Literal['last', 'first'] = 'last')

Sort a column/a dataframe in ascending or descending order.

Parameters:

• by (array-like, default None) – Columns to sort by, uses all columns for comparison if None.

• ascending (bool, default True) – If true, sort in ascending order, else descending.

• na_position ({{'last', 'first'}}, default "last") – If ‘last’ order nulls after non-null values, if ‘first’ orders nulls before non-null values.

Examples

>>> import torcharrow as ta
>>> df = ta.dataframe({'a': list(range(7)),
>>>             'b': list(reversed(range(7))),
>>>             'c': list(range(7))
>>>            })
>>> df.sort(by=['c', 'b']).head(2)
  index    a    b    c    d
-------  ---  ---  ---  ---
      0    0    6    0   99
      1    1    5    1  100
dtype: Struct([Field('a', int64), Field('b', int64), Field('c', int64), Field('d', int64)]), count: 2, null_count: 0