Error message when using Dataset.Tabular.register_pandas_dataframe

I am getting an error when trying to upload and register a pandas dataframe using the experimental method from my local machine using the azureml SDK.

```
Dataset.Tabular.register_pandas_dataframe(dataframe=df,
target=ds,
name=name,
description=description,
tags=tags,
show_progress=True)
```
Where `ds` is the workspace default datastore, `df` is a pandas dataframe and tags is a key value pair dict.


This does work through a jupyter notebook, however, when executing the code from a script it fails. I have never seen this before and couldn't find anything online or in the documentation.

AzureML SDK version: 1.27.0
Pandas version: 1.2.0

---
#### Document Details

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* ID: 9b1aee32-5a1f-2ef1-ee76-30b17999db87
* Version Independent ID: f4785272-a81d-e9cc-c6a5-9d41c8dcd90b
* Content: [azureml.data.dataset_factory.TabularDatasetFactory class - Azure Machine Learning Python](https://docs.microsoft.com/en-us/python/api/azureml-core/azureml.data.dataset_factory.tabulardatasetfactory?view=azure-ml-py#azureml_data_dataset_factory_TabularDatasetFactory_register_pandas_dataframe)
* Content Source: [AzureML-Docset/stable/docs-ref-autogen/azureml-core/azureml.data.dataset_factory.TabularDatasetFactory.yml](https://github.com/MicrosoftDocs/MachineLearning-Python-pr/blob/live/AzureML-Docset/stable/docs-ref-autogen/azureml-core/azureml.data.dataset_factory.TabularDatasetFactory.yml)
* Service: **machine-learning**
* Sub-service: **core**
* GitHub Login: @DebFro
* Microsoft Alias: **debfro**

Start with the Dataset.Tabular.register_pandas_dataframe call shown in the report and compare its behavior when run from a script versus a Jupyter notebook using AzureML SDK 1.27.0 and pandas 1.2.0. Capture the error shown in the attached image, reproduce the difference, and document or correct the script execution path so registration has a defined result.

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