Docstring for `add_dataframe_asset` references missing dataframe argument

[leftkats]

Describe the bug
The docstring for the add_dataframe_asset method in great_expectations/datasource/fluent/spark_datasource.py references a dataframe argument, but the function signature does not include a dataframe parameter. This creates confusion about how the method should be used.

To Reproduce

1. View the add_dataframe_asset method definition.
2. Observe that the docstring includes:

   Args:
       name: The name of the DataFrame asset. This can be any arbitrary string.
       dataframe: The Spark Dataframe containing the data for this DataFrame data asset.
       batch_metadata: An arbitrary user defined dictionary with string keys which will get inherited by any
                       batches created from the asset.

3. The actual function signature is:

   def add_dataframe_asset(
       self,
       name: str,
       batch_metadata: Optional[BatchMetadata] = None,
   ) -> DataFrameAsset:

4. There is no dataframe parameter.

Expected behavior
The docstring should accurately reflect the function signature, or the function should accept a dataframe argument if that is the intended usage.

Environment (please complete the following information):

• Operating System: N/A (documentation issue)
• Great Expectations Version: [please fill in, if relevant]
• Data Source: Spark
• Cloud environment: N/A

Additional context
This appears to be a documentation oversight. Please clarify the intended API for adding a DataFrame asset and update the docstring or method signature accordingly.

[adeola-ak]

closing as the PR has been merged.