(self, value: 'pd.DataFrame | Styler | np.ndarray | pl.DataFrame | list | list[list] | dict | str | Callable | None' = None, *, headers: 'list[str] | None' = None, row_count: 'int | None' = None, row_limits: 'tuple[int | None, int | None] | None' = None, col_count: 'None' = None, column_count: 'int | None' = None, column_limits: 'tuple[int | None, int | None] | None' = None, datatype: "Literal['str', 'number', 'bool', 'date', 'markdown', 'html', 'image', 'auto'] | Sequence[Literal['str', 'number', 'bool', 'date', 'markdown', 'html']]" = 'str', type: "Literal['pandas', 'numpy', 'array', 'polars']" = 'pandas', latex_delimiters: 'list[dict[str, str | bool]] | None' = None, label: 'str | I18nData | None' = None, show_label: 'bool | None' = None, every: 'Timer | float | None' = None, inputs: 'Component | Sequence[Component] | set[Component] | None' = None, max_height: 'int | str' = 500, scale: 'int | None' = None, min_width: 'int' = 160, interactive: 'bool | None' = None, visible: "bool | Literal['hidden']" = True, elem_id: 'str | None' = None, elem_classes: 'list[str] | str | None' = None, render: 'bool' = True, key: 'int | str | tuple[int | str, ...] | None' = None, preserved_by_key: 'list[str] | str | None' = 'value', wrap: 'bool' = False, line_breaks: 'bool' = True, column_widths: 'list[str | int] | None' = None, buttons: "list[Literal['fullscreen', 'copy']] | None" = None, show_row_numbers: 'bool' = False, max_chars: 'int | None' = None, show_search: "Literal['none', 'search', 'filter']" = 'none', pinned_columns: 'int | None' = None, static_columns: 'list[int] | None' = None)