> ## Documentation Index
> Fetch the complete documentation index at: https://wb-21fd5541-update-regex-mention.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Create an Eval Table

> Learn how to create an Eval Table in W&B.

Create an Eval Table using the W\&B Python SDK or convert an existing [W\&B Table](/models/tables) with [ARIA](/aria).

## Create an Eval Table

Use `wandb.EvalTable` class to create an Eval Table.

For example, suppose you have the following pandas DataFrame:

```python theme={null}
import pandas as pd
import wandb

df = pd.DataFrame(
    [
        {
            "image_id": "img_001",
            "true_label": "cat",
            "predicted_label": "cat",
            "confidence": 0.97,
            "correct": True,
        },
        {
            "image_id": "img_002",
            "true_label": "dog",
            "predicted_label": "cat",
            "confidence": 0.72,
            "correct": False,
        },
        {
            "image_id": "img_003",
            "true_label": "car",
            "predicted_label": "car",
            "confidence": 0.89,
            "correct": True,
        },
    ]
)
```

Create an Eval Table by passing the DataFrame to `wandb.EvalTable`. Use the `input_columns`, `output_columns`, and `score_columns` arguments to identify the role of each column.

The following example uses:

* `image_id` as the input
* `predicted_label` as the output
* `correct` and `confidence` as scores

```python theme={null}
with wandb.init(project="classifier-eval-table-demo") as run:
    eval_table = wandb.EvalTable(
        dataframe=df,
        input_columns=["image_id"],
        output_columns=["predicted_label"],
        score_columns=["correct", "confidence"],
    )
    run.log({"validation_predictions_eval": eval_table})    
```

## Convert a W\&B Table to an Eval Table

Use the conversion banner to convert an existing W\&B Table to an Eval Table:

1. Navigate to the project that contains the W\&B Table.
2. Select the **Try now** button in the conversion banner. The button opens [ARIA](/aria) with information about which table to convert.
3. Follow the prompts in ARIA's conversation window.

If you closed the banner or do not see it, open ARIA manually:

1. Select the blue circle in the upper-right corner of the page to open ARIA.
2. Enter `/convert-eval-table` in the ARIA conversation.
3. Select Send, represented by the upward-pointing arrow (<Icon icon="arrow-up" iconType="solid" />) in the lower-right corner of the conversation.

Converting a W\&B Table does not modify the original table.