Merge remote-tracking branch 'upstream/main' into aijams-take-function-invalid-dtype

Author: aijams

doc/source/whatsnew/v3.0.0.rst

@@ -716,6 +716,7 @@ Other Deprecations
 - Deprecated using ``epoch`` date format in :meth:`DataFrame.to_json` and :meth:`Series.to_json`, use ``iso`` instead. (:issue:`57063`)
 - Deprecated allowing ``fill_value`` that cannot be held in the original dtype (excepting NA values for integer and bool dtypes) in :meth:`Series.unstack` and :meth:`DataFrame.unstack` (:issue:`12189`, :issue:`53868`)
 - Deprecated allowing ``fill_value`` that cannot be held in the original dtype (excepting NA values for integer and bool dtypes) in :meth:`Series.shift` and :meth:`DataFrame.shift` (:issue:`53802`)
+- Deprecated option "future.no_silent_downcasting", as it is no longer used. In a future version accessing this option will raise (:issue:`59502`)
 - Deprecated slicing on a :class:`Series` or :class:`DataFrame` with a :class:`DatetimeIndex` using a ``datetime.date`` object, explicitly cast to :class:`Timestamp` instead (:issue:`35830`)
 
 .. ---------------------------------------------------------------------------
@@ -1012,12 +1013,13 @@ Strings
 ^^^^^^^
 - Bug in :meth:`Series.str.zfill` raising ``AttributeError`` for :class:`ArrowDtype` (:issue:`61485`)
 - Bug in :meth:`Series.value_counts` would not respect ``sort=False`` for series having ``string`` dtype (:issue:`55224`)
+- Bug in multiplication with a :class:`StringDtype` incorrectly allowing multiplying by bools; explicitly cast to integers instead (:issue:`62595`)
 
 Interval
 ^^^^^^^^
 - :meth:`Index.is_monotonic_decreasing`, :meth:`Index.is_monotonic_increasing`, and :meth:`Index.is_unique` could incorrectly be ``False`` for an ``Index`` created from a slice of another ``Index``. (:issue:`57911`)
+- Bug in :class:`Index`, :class:`Series`, :class:`DataFrame` constructors when given a sequence of :class:`Interval` subclass objects casting them to :class:`Interval` (:issue:`46945`)
 - Bug in :func:`interval_range` where start and end numeric types were always cast to 64 bit (:issue:`57268`)
--
 
 Indexing
 ^^^^^^^^

pandas/_libs/lib.pyx

@@ -2255,7 +2255,8 @@ cpdef bint is_interval_array(ndarray values):
     for i in range(n):
         val = values[i]
 
-        if isinstance(val, Interval):
+        if type(val) is Interval:
+            # GH#46945 catch Interval exactly, excluding subclasses
             if closed is None:
                 closed = val.closed
                 numeric = (

pandas/core/arrays/string_.py

@@ -1113,6 +1113,16 @@ def _cmp_method(self, other, op):
                 other = np.asarray(other)
             other = other[valid]
 
+        other_dtype = getattr(other, "dtype", None)
+        if op.__name__.strip("_") in ["mul", "rmul"] and (
+            lib.is_bool(other) or lib.is_np_dtype(other_dtype, "b")
+        ):
+            # GH#62595
+            raise TypeError(
+                "Cannot multiply StringArray by bools. "
+                "Explicitly cast to integers instead."
+            )
+
         if op.__name__ in ops.ARITHMETIC_BINOPS:
             result = np.empty_like(self._ndarray, dtype="object")
             result[mask] = self.dtype.na_value

pandas/core/config_init.py

@@ -28,6 +28,8 @@
     is_text,
 )
 
+from pandas.errors import Pandas4Warning
+
 # compute
 
 use_bottleneck_doc = """
@@ -899,10 +901,10 @@ def register_converter_cb(key: str) -> None:
     cf.register_option(
         "no_silent_downcasting",
         False,
-        "Whether to opt-in to the future behavior which will *not* silently "
-        "downcast results from Series and DataFrame `where`, `mask`, and `clip` "
-        "methods. "
-        "Silent downcasting will be removed in pandas 3.0 "
-        "(at which point this option will be deprecated).",
+        "This option is deprecated and will be removed in a future version. "
+        "It has no effect.",
         validator=is_one_of_factory([True, False]),
     )
+
+# GH#59502
+cf.deprecate_option("future.no_silent_downcasting", Pandas4Warning)