Merge branch 'main' into ipython

Author: saldanhad

doc/source/whatsnew/v3.0.0.rst

@@ -700,6 +700,7 @@ 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:`eval` on :class:`ExtensionArray` on including division ``/`` failed with a ``TypeError``. (:issue:`58748`)
 - Bug in :func:`eval` where the names of the :class:`Series` were not preserved when using ``engine="numexpr"``. (:issue:`10239`)
+- Bug in :func:`eval` with ``engine="numexpr"`` returning unexpected result for float division. (:issue:`59736`)
 - Bug in :func:`unique` on :class:`Index` not always returning :class:`Index` (:issue:`57043`)
 - Bug in :meth:`DataFrame.apply` where passing ``engine="numba"`` ignored ``args`` passed to the applied function (:issue:`58712`)
 - 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`)

pandas/core/computation/align.py

@@ -213,7 +213,7 @@ def reconstruct_object(typ, obj, axes, dtype, name):
     if hasattr(res_t, "type") and typ == np.bool_ and res_t != np.bool_:
         ret_value = res_t.type(obj)
     else:
-        ret_value = typ(obj).astype(res_t)
+        ret_value = res_t.type(obj)
         # The condition is to distinguish 0-dim array (returned in case of
         # scalar) and 1 element array
         # e.g. np.array(0) and np.array([0])

pandas/core/indexes/base.py

@@ -4153,7 +4153,8 @@ def reindex(
         preserve_names = not hasattr(target, "name")
 
         # GH7774: preserve dtype/tz if target is empty and not an Index.
-        target = ensure_has_len(target)  # target may be an iterator
+        if is_iterator(target):
+            target = list(target)
 
         if not isinstance(target, Index) and len(target) == 0:
             if level is not None and self._is_multi:
@@ -7568,21 +7569,9 @@ def ensure_index(index_like: Axes, copy: bool = False) -> Index:
         return Index(index_like, copy=copy)
 
 
-def ensure_has_len(seq):
-    """
-    If seq is an iterator, put its values into a list.
-    """
-    try:
-        len(seq)
-    except TypeError:
-        return list(seq)
-    else:
-        return seq
-
-
 def trim_front(strings: list[str]) -> list[str]:
     """
-    Trims zeros and decimal points.
+    Trims leading spaces evenly among all strings.
 
     Examples
     --------
@@ -7594,8 +7583,9 @@ def trim_front(strings: list[str]) -> list[str]:
     """
     if not strings:
         return strings
-    while all(strings) and all(x[0] == " " for x in strings):
-        strings = [x[1:] for x in strings]
+    smallest_leading_space = min(len(x) - len(x.lstrip()) for x in strings)
+    if smallest_leading_space > 0:
+        strings = [x[smallest_leading_space:] for x in strings]
     return strings
 
 

pandas/core/shared_docs.py

@@ -65,9 +65,9 @@
     Determine which axis to align the comparison on.
 
     * 0, or 'index' : Resulting differences are stacked vertically
-        with rows drawn alternately from self and other.
+      with rows drawn alternately from self and other.
     * 1, or 'columns' : Resulting differences are aligned horizontally
-        with columns drawn alternately from self and other.
+      with columns drawn alternately from self and other.
 
 keep_shape : bool, default False
     If true, all rows and columns are kept.

pandas/tests/computation/test_eval.py

@@ -1998,3 +1998,11 @@ def test_validate_bool_args(value):
     msg = 'For argument "inplace" expected type bool, received type'
     with pytest.raises(ValueError, match=msg):
         pd.eval("2+2", inplace=value)
+
+
+@td.skip_if_no("numexpr")
+def test_eval_float_div_numexpr():
+    # GH 59736
+    result = pd.eval("1 / 2", engine="numexpr")
+    expected = 0.5
+    assert result == expected