How can I have a checkpoint on a pandas data asset?

[Someone894]

Since I want to use a SAP Hana DB as the source of my data and GX dosent support it my next best bet was to load the data into a pandas dataframe and then use GX core from there.
But currently it seems to me like the pandas dataframe source isent really ment to work in a production environment, e.g. in the documentation no checkpoint is used and I cant figure out how to do it myself either.

Something like this, obviously dosent work since the dataframe is made public to the batch, but it is not used in the suite, so there is no data present to actually do the check on.

Is it possible to use the pandas dataframe source in conjunction with with an expectation suite and checkpoint?
If so, how would you do it?

    import great_expectations as gx
    import pandas as pd

    df = pd.read_csv(
        "https://raw.githubusercontent.com/great-expectations/gx_tutorials/main/data/yellow_tripdata_sample_2019-01.csv"
    )
    context = gx.get_context()

    data_source = context.data_sources.add_or_update_pandas("pandas_test")

    data_asset = data_source.add_dataframe_asset(name="pd dataframe asset")

    batch_definition = data_asset.add_batch_definition_whole_dataframe("batch definition")
    batch = batch_definition.get_batch(batch_parameters={"dataframe": df})

    suite = context.suites.add(gx.core.expectation_suite.ExpectationSuite(name="expectations"))
    suite.add_expectation(
        gx.expectations.ExpectColumnValuesToBeBetween(
            column="passenger_count", min_value=1, max_value=6
        )
    )

    validation_definition = context.validation_definitions.add(
        gx.core.validation_definition.ValidationDefinition(
            name="validation definition",
            data=batch_definition,
            suite=suite,
        )
    )

    checkpoint = context.checkpoints.add(
        gx.checkpoint.checkpoint.Checkpoint(
            name="checkpoint", validation_definitions=[validation_definition]
        )
    )

    checkpoint_result = checkpoint.run()
    print(checkpoint_result.describe())