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Version: 1.9.1

TableFrame.extract_as_rows

methodView source ↗
def extract_as_rows(offset: int, length: int) -> list[dict[str, Any]]

Categories: filters

Extract a slice of rows from the TableFrame as a list of dictionaries.

Each dictionary represents one row, where keys are column names and values are the corresponding cell values.

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

Returns​

list[dict[str, Any]]: A list of row dictionaries.

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_rows(offset=0, length=2)
[
>>>
>>> tf.extract_as_rows(offset=0, length=2)
    [
        {"a": "A", "b": 1},
        {"a": "X", "b": 10},
    ]