Function table_from_markdown

python/pathway/debug/__init__.py:446–472

A function for creating a table from its definition in markdown. If it contains a special column ``__time__``, rows will be split into batches with timestamps from the column. A special column ``__diff__`` can be used to set an event type - with ``1`` treated as inserting the row and ``-

(
    table_def,
    id_from=None,
    unsafe_trusted_ids=False,
    schema: type[Schema] | None = None,
    *,
    _stacklevel: int = 1,
    split_on_whitespace: bool = True,
    _new_universe: bool = False,
)

def table_from_markdown(
    table_def,
    id_from=None,
    unsafe_trusted_ids=False,
    schema: type[Schema] | None = None,
    *,
    _stacklevel: int = 1,
    split_on_whitespace: bool = True,
    _new_universe: bool = False,
) -> Table:
    """A function for creating a table from its definition in markdown. If it contains a special
    column ``__time__``, rows will be split into batches with timestamps from the column.
    A special column ``__diff__`` can be used to set an event type - with ``1`` treated
    as inserting the row and ``-1`` as removing it.

    By default, it splits on whitespaces. To get a table containing
    strings with whitespaces, use with ``split_on_whitespace = False``.
    """
    df = _markdown_to_pandas(table_def, split_on_whitespace)
    return table_from_pandas(
        df,
        id_from=id_from,
        unsafe_trusted_ids=unsafe_trusted_ids,
        schema=schema,
        _stacklevel=_stacklevel + 1,
        _new_universe=_new_universe,
    )


@check_arg_types