Cannot use Series methods with nested columns

[hombit]

Bug report

Pandas' .query() and .eval() support some methods calls on columns, for example df.query("a.isna()") or df.eval("b.fillna(33.33)"). However, this doesn't work with nested columns:

from nested_pandas.datasets import generate_data

nf = generate_data(12, 5)
nf = nf.query("a.notna()")  # works
_ = nf["nested"].notna()  # works
_ = nf.query("nested.notna()")  # fails

File ~/.virtualenvs/v/lib/python3.13/site-packages/pandas/core/computation/expr.py:413, in BaseExprVisitor.visit(self, node, **kwargs)
    411 method = f"visit_{type(node).__name__}"
    412 visitor = getattr(self, method)
--> 413 return visitor(node, **kwargs)

File ~/.virtualenvs/v/lib/python3.13/site-packages/pandas/core/computation/expr.py:659, in BaseExprVisitor.visit_Call(self, node, side, **kwargs)
    657 def visit_Call(self, node, side=None, **kwargs):
    658     if isinstance(node.func, ast.Attribute) and node.func.attr != "__call__":
--> 659         res = self.visit_Attribute(node.func)
    660     elif not isinstance(node.func, ast.Name):
    661         raise TypeError("Only named functions are supported")

File ~/.virtualenvs/v/lib/python3.13/site-packages/pandas/core/computation/expr.py:646, in BaseExprVisitor.visit_Attribute(self, node, **kwargs)
    644 resolved = self.visit(value).value
    645 try:
--> 646     v = getattr(resolved, attr)
    647     name = self.env.add_tmp(v)
    648     return self.term_type(name, self.env)

File ~/.virtualenvs/v/lib/python3.13/site-packages/nested_pandas/nestedframe/expr.py:168, in _NestedFieldResolver.__getattr__(self, item_name)
    166     result.flat_nest = self._flat_nest
    167     return result
--> 168 raise AttributeError(f"No attribute {item_name}")

AttributeError: No attribute isna

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[gitosaurus]

Note also that it also works for columns within the nest, just not for the nest itself:

_ = nf.query("nested.t.notna()") # works
_ = nf.query("nested.notna()")  # fails

I think this arises from this difference:

In [1]: type(nf.eval("nested"))
Out[1]: nested_pandas.nestedframe.expr._NestedFieldResolver

In [2]: type(nf.eval("nested.t"))
Out[2]: nested_pandas.nestedframe.expr._SeriesFromNest

In [3]: type(nf["nested"])
Out[3]: pandas.core.series.Series

In [4]: type(nf["nested"].nest)
Out[4]: nested_pandas.series.accessor.NestSeriesAccessor