DataFrameFactory.
for_visualization
for_visualization(visualization_id: str, auto_index: bool, on_execution_submitted: Optional[Callable[[Execution], None]], is_cancellable: bool, result_page_len: Optional[int]) ->
pandas.DataFrame
Creates a data frame with columns based on the content of the visualization with the provided identifier.
Parameters
| name | type | description |
|---|---|---|
| visualization_id | str | Visualization identifier. |
| auto_index | bool | Default True. Enables creation of DataFrame with index depending on the contents of the visualization. |
| on_execution_submitted | Optional[Callable[[Execution], None]] | Callback to call when the execution was submitted to the backend. |
| is_cancellable | bool | Whether the execution should be cancelled when the connection is interrupted. |
| result_page_len | Optional[int] | Optional page size for result pagination. Defaults to 1000. Larger values can improve performance for large result sets. |
Returns
| type | description |
|---|---|
| pandas.DataFrame | A DataFrame instance. |