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dagster

I am facing a problem with dagster tutorial dealing with multiple outputs from Basics of Solids section

@solid(
    config_schema={
        'process_hot': Field(Bool, is_required=*False*, default_value=*True*),
        'process_cold': Field(Bool, is_required=*False*, default_value=*True*),
    },
    output_defs=[
        OutputDefinition(
            name='hot_cereals', dagster_type=DataFrame, is_required=*False*
        ),
        OutputDefinition(
            name='cold_cereals', dagster_type=DataFrame, is_required=*False*
        ),
    ],
)

here I am not able to refer to DataFrame.... I tried importing it from pandas but I get the error as invalid dagster_type

hey <@U018XAX7FDZ> I think you want:
```from dagster import PythonObjectDagsterType
DataFrame = PythonObjectDagsterType(list, name='DataFrame')```

we should include this in the tutorial, thanks for flagging

I think this is the source file, for your reference: <https://github.com/dagster-io/dagster/blob/master/examples/docs_snippets/docs_snippets/intro_tutorial/advanced/solids/reusable_solids.py>

Thanks <@UH2NB6SF7>, this worked like a charm!

Hi Team, can we call multiple pipelines in dagit running in parallel using GraphQL client?