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

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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")

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Convert artifact to Dataframe

Then, convert the table into a dataframe: 
# Following from the last code example:
df = table.get_dataframe()

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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")

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Next Steps

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