feature/#398-expand-exposed-type-parameter

[sohamkumar05]

What type of PR is this? (check all applicable)

• Refactor
• Feature
• Bug Fix
• Optimization
• Documentation Update

Description

We are also including pandas.DataFrame and numpy.ndarray as exposed type.

Related Tickets & Documents

• Related Issue Expand the exposed_type parameter of DataNode to accept actual Python types #398
• Closes Expand the exposed_type parameter of DataNode to accept actual Python types #398

How to reproduce the issue

Checklist

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• Does this solution meet the acceptance criteria of the related issue?
• Is the related issue checklist completed?
• Does this PR adds unit tests for the developed code? If not, why?
• End-to-End tests have been added or updated?
• Was the documentation updated, or a dedicated issue for documentation created? (If applicable)
• Is the release notes updated? (If applicable)

[trgiangdo]

Thank you @sohamkumar05 for your contribution with the Pull Request.

I believe the PR is in a good shape. There are a few refinements needed, and then the Taipy team will do some testing before we can merge your PR.

[trgiangdo]

The PR looks good to me. I believe it's almost ready to be merged.

I have 1 more request just to make sure this works properly with Taipy serialization.

Can you write a few test cases exploring cases where instead of import pandas as pd and use pd.DataFrame as the exposed_type, do:

• import pandas and use pandas.DataFrame
• from pandas import DataFrame and use just the DataFrame
• from pandas import DataFrame as DF and use DF

Similarly, try different imports for np.ndarray