> ## Documentation Index > Fetch the complete documentation index at: https://wb-21fd5541-sdk-testing-latest.mintlify.site/llms.txt > Use this file to discover all available pages before exploring further. # EvalTable export const GitHubLink = ({url}) => GitHub source ; ## class EvalTable ```python theme={null} columns: 'list[str | int] | None' = None, data: 'list[Iterable[Any]] | np.ndarray | pd.DataFrame | None' = None, rows: 'list[Iterable[Any]] | None' = None, dataframe: 'pd.DataFrame | None' = None, dtype: 'Any' = None, optional: 'bool | list[bool]' = True, allow_mixed_types: 'bool' = False, log_mode: "Literal['IMMUTABLE']" = 'IMMUTABLE', *, input_columns: 'list[str] | None' = None, output_columns: 'list[str] | None' = None, score_columns: 'list[str] | None' = None, unsupported_media_mode: 'media_adapters.UnsupportedMediaMode' = 'stub' ``` ## Description A Table subclass that routes run.log() to the new Eval Tables experience. When logged via run.log(), an EvalTable is logged as a Weave Eval via weave.EvaluationLogger instead of being uploaded as a regular wandb Table artifact. Note: EvalTable is a work-in-progress and is NOT yet officially released or supported. ## Args * `columns`: Names of the columns in the table. If unset, but input\_columns, output\_columns, or score\_columns are set, then we'll just set columns to the union of those, in that order. * `data`: * `rows`: * `dataframe`: * `dtype`: * `optional`: * `allow_mixed_types`: * `log_mode`: Controls how the table is logged when the same EvalTable is passed to `run.log()` more than once. * `input_columns`: Names of the input columns. If set, designates these columns as inputs. Eval comparisons will match rows based on matching values from input columns. If unset, we will inject a "row" index input column so comparisons can match against that. * `output_columns`: Names of the output columns. These represents the values to be compared. Any columns not designated as input, output, or score will default to being output columns. * `score_columns`: Names of the score columns. These represent derived scores for the outputs. By default, we will auto-summarize any numeric and boolean scores. * `unsupported_media_mode`: How to handle unsupported wandb media/value types. ## Methods ### method add\_column ```python theme={null} self, name: 'str | int', data: 'list[Any] | np.ndarray', optional: 'bool' = False ``` Adds a column of data to the table. ##### Arguments * `name`: (str) - the unique name of the column * `data`: (list | np.array) - a column of homogeneous data * `optional`: (bool) - if null-like values are permitted ### method add\_computed\_columns ```python theme={null} (self, fn) ``` Adds one or more computed columns based on existing data. ##### Arguments * `fn`: A function which accepts one or two parameters, ndx (int) and row (dict), which is expected to return a dict representing new columns for that row, keyed by the new column names. - `ndx` is an integer representing the index of the row. Only included if `include_ndx` is set to `True`. - `row` is a dictionary keyed by existing columns ### method add\_data ```python theme={null} self, *data: 'Any' ``` Adds a new row of data to the table. The maximum amount ofrows in a table is determined by `wandb.Table.MAX_ARTIFACT_ROWS`. The length of the data should match the length of the table column. ##### Arguments * `data`: ### method add\_row ```python theme={null} (self, *row) ``` Deprecated. Use `Table.add_data` method instead. ##### Arguments * `row`: ### method cast ```python theme={null} (self, col_name, dtype, optional=False) ``` Casts a column to a specific data type. This can be one of the normal python classes, an internal W\&B type, or an example object, like an instance of wandb.Image or wandb.Classes. ##### Arguments * `col_name`: The name of the column to cast. * `dtype`: The target dtype. * `optional`: If the column should allow Nones. ### method get\_column ```python theme={null} (self, name, convert_to=None) ``` Retrieves a column from the table and optionally converts it to a NumPy object. ##### Arguments * `name`: (str) - the name of the column * `convert_to`: (str, optional) ### method get\_dataframe ```python theme={null} (self) ``` Returns a `pandas.DataFrame` of the table. ### method get\_index ```python theme={null} (self) ``` Returns an array of row indexes for use in other tables to create links.