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Allow tan to be used in df.eval. #58334

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Apr 22, 2024
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1 change: 1 addition & 0 deletions doc/source/whatsnew/v3.0.0.rst
Original file line number Diff line number Diff line change
Expand Up @@ -455,6 +455,7 @@ Other
- Bug in :class:`DataFrame` when passing a ``dict`` with a NA scalar and ``columns`` that would always return ``np.nan`` (:issue:`57205`)
- Bug in :func:`unique` on :class:`Index` not always returning :class:`Index` (:issue:`57043`)
- Bug in :meth:`DataFrame.eval` and :meth:`DataFrame.query` which caused an exception when using NumPy attributes via ``@`` notation, e.g., ``df.eval("@np.floor(a)")``. (:issue:`58041`)
- Bug in :meth:`DataFrame.eval` and :meth:`DataFrame.query` which did not allow to use ``tan`` function
- Bug in :meth:`DataFrame.sort_index` when passing ``axis="columns"`` and ``ignore_index=True`` and ``ascending=False`` not returning a :class:`RangeIndex` columns (:issue:`57293`)
- Bug in :meth:`DataFrame.transform` that was returning the wrong order unless the index was monotonically increasing. (:issue:`57069`)
- Bug in :meth:`DataFrame.where` where using a non-bool type array in the function would return a ``ValueError`` instead of a ``TypeError`` (:issue:`56330`)
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1 change: 1 addition & 0 deletions pandas/core/computation/ops.py
Original file line number Diff line number Diff line change
Expand Up @@ -45,6 +45,7 @@
_unary_math_ops = (
"sin",
"cos",
"tan",
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Can you add a test for this?

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Just by adding "tan" to the list _unary_math_ops a standard test (which is applied to all these functions) is automatically added:

@pytest.mark.parametrize("fn", _unary_math_ops)

Let me know if you meant anything more specific.

"exp",
"log",
"expm1",
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