🧪 testing improvement: Add tests for FieldVector.to_dataframe - #49
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Added unit tests `test_fieldvector_to_dataframe_numerical` and `test_fieldvector_to_dataframe_mtf` to `tests/test_vectors_and_fields.py` to ensure the `to_dataframe` method on `FieldVector` handles both numeric and Multivariate Taylor Function (MTF) components correctly. Includes checks for dataframe shape, column names, coefficient correctness, and zeros padding according to `MAX_DIMENSION`. Co-authored-by: shashi-manikonda <199693178+shashi-manikonda@users.noreply.github.com>
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🎯 What:
FieldVector.to_dataframe()lacked test coverage. This PR adds tests to ensure it correctly constructs a DataFrame representation of the vector using both strictly numeric and MTF variables fromsandalwood.📊 Coverage: Tests handle the basic numerical case with a single-row DataFrame, as well as the multi-row MTF case. The MTF tests verify the order, exponents, and specific coefficients to confirm correct functionality. Exponents logic is robustly parameterized based on
mtf._MAX_DIMENSION.✨ Result: Enhanced test coverage provides confidence that tabular/dataframe representations of field vectors are generated correctly.
PR created automatically by Jules for task 83693794783900043 started by @shashi-manikonda