Overview
Remove specific columns from an existing experiment dataset.
Method Signature
# Synchronous
client.experiments.remove_columns(
experiment_id: str,
column_names: List[str]
) -> Dict[str, Any]
# Asynchronous
await client.experiments.remove_columns(
experiment_id: str,
column_names: List[str]
) -> Dict[str, Any]
Parameters
The unique identifier of the experiment
List of column names to remove from the experiment
Returns
Returns a dictionary containing the updated experiment information.
Example
from keywordsai import KeywordsAI
client = KeywordsAI(api_key="your-api-key")
# Remove specific columns from experiment
columns_to_remove = ["old_metric", "deprecated_field"]
result = client.experiments.remove_columns(
experiment_id="exp_123",
column_names=columns_to_remove
)
print(f"Removed {len(columns_to_remove)} columns from experiment")
Error Handling
try:
result = client.experiments.remove_columns(
experiment_id="exp_123",
column_names=["old_metric", "deprecated_field"]
)
except Exception as e:
print(f"Error removing columns: {e}")
