Export Table Data

Like all W&B Artifacts, Tables can be converted into pandas dataframes for easy data exporting.

Convert table to artifact

First, you'll need to convert the table to an artifact. The easiest way to do this using artifact.get(table, "table_name"):

# Create and log a new table.
with wandb.init() as r:
    artifact = wandb.Artifact("my_dataset", type="dataset")
    table = wandb.Table(
        columns=["a", "b", "c"], data=[(i, i * 2, 2**i) for i in range(10)]
    )
    artifact.add(table, "my_table")
    wandb.log_artifact(artifact)

# Retrieve the created table using the artifact you created.
with wandb.init() as r:
    artifact = r.use_artifact("my_dataset:latest")
    table = artifact.get("my_table")

Convert artifact to Dataframe

Then, convert the table into a dataframe:

# Following from the last code example:
df = table.get_dataframe()

Export Data

Now you can export using any method dataframe supports:

# Converting the table data to .csv
df.to_csv("example.csv", encoding="utf-8")

Next Steps

• Check out the reference documentation on artifacts.
• Go through our Tables Walktrough guide.
• Check out the Dataframe reference docs.