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Class wandb.Table

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method Table.add_column()

Adds a column of data to the table.
Arguments
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str
The unique name of the column.
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list[Any] | np.ndarray
A column of homogeneous data.
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bool
If null-like values are permitted.

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method Table.add_computed_columns()

Adds one or more computed columns based on existing data.
Arguments
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Callable[[int, dict[ColumnKey, Any]], dict[str, Any]]
A function which accepts an index and row dict, and returns a dict representing new columns for that row, keyed by the new column names.
Examples
table = wandb.Table(columns=[“x”, “y”], data=[[3, 1], [4, 6]]) table.add_computed_columns( ) In the callback:
  • ndx is an integer representing the index of the row.
  • row is a dictionary keyed by existing columns.

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method Table.add_data()

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
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Any

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method Table.add_row()

Deprecated. Use Table.add_data method instead.
Arguments
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Any

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method Table.cast()

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
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ColumnKey
The name of the column to cast.
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Any
The target dtype.
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bool
If the column should allow Nones.

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method Table.get_column()

Retrieves a column from the table and optionally converts it to a NumPy object.
Arguments
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ColumnKey
The name of the column.
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Literal['numpy'] | None
“numpy” will convert the underlying data to a NumPy object.

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method Table.get_dataframe()

Returns a pandas.DataFrame of the table.

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method Table.get_index()

Returns an array of row indexes for use in other tables to create links.