TableFrame.extract_as_columns

methodView source ↗

def extract_as_columns(offset: int, length: int) -> dict[str, list[Any]]

Categories: filters

Extract a slice of rows from the table as a column-oriented dictionary.

The result is a mapping of column names to lists of values from the selected rows.

Parameters: offset (int): The starting row index of the slice. length (int): The number of rows to include in the slice.

Returns

dict[str, list[Any]]: A dictionary where each key is a column name, and its value is a list of values from the selected slice.

Examples

>>> import tabsdata as td
>>>
>>> tf: td.TableFrame ...
>>>
┌─────┬─────┐
│ a   ┆ b   │
│ --- ┆ --- │
│ str ┆ i64 │
╞═════╪═════╡
│ A   ┆ 1   │
│ X   ┆ 10  │
│ C   ┆ 3   │
│ D   ┆ 5   │
│ M   ┆ 9   │
└─────┴─────┘
>>>
>>> tf.extract_as_columns(offset=0, length=2)
    {
        "a": ["A", 1],
        "b": ["X", 10]
    }