Export table data

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Convert a table to an artifact

1. Add the table to an artifact with artifact.add(table, "my_table"), then log the artifact:
   # 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)
   
2. Retrieve the table with wandb.Artifact.get("my_table"):
   # 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 the artifact to a DataFrame

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

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Export data

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

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Next steps

• Construct an artifact for reference documentation on artifacts.
• Tables walkthrough for a guided tutorial.
• pandas DataFrame reference for DataFrame API documentation.