bodo.pandas.BodoDataFrame.sort_values

BodoDataFrame.sort_values(by, *, axis=0, ascending=True, inplace=False, kind="quicksort", na_position="last", ignore_index=False, key=None)

Sorts the elements of the BodoDataFrame and returns a new sorted BodoDataFrame.

Parameters

by: str or list of str: Name or list of column names to sort by.

ascending : bool 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: str {'first', 'last'} or list of str, default 'last': Puts NaNs at the beginning if first; last puts NaNs at the end. Specify list for multiple NaN orders by key. If this is a list of strings, must match the length of the by.

All other parameters will trigger a fallback to pandas.DataFrame.sort_values if a non-default value is provided.

Returns

BodoDataFrame

Example

import bodo.pandas as bd

bdf = bd.DataFrame(
    {
        "A": bd.array([1, 2, 3, 7] * 3, "Int64"),
        "B": ["A1", "B1", "C1", "Abc"] * 3,
        "C": bd.array([6, 5, 4] * 4, "Int64"),
    }
)

bdf_sorted = bdf.sort_values(by=["A", "C"], ascending=[False, True])
print(bdf_sorted)

Output:

    A    B  C
0   7  Abc  4
1   7  Abc  5
2   7  Abc  6
3   3   C1  4
4   3   C1  5
5   3   C1  6
6   2   B1  4
7   2   B1  5
8   2   B1  6
9   1   A1  4
10  1   A1  5
11  1   A1  6

---