Merge to pass CI test

GH PR pandas-dev#42413

Merge branch 'master' into 41457-upgrade-to-bootstrap5

Author: calvh

.github/workflows/ci.yml

@@ -7,7 +7,6 @@ on:
   pull_request:
     branches:
       - master
-      - 1.2.x
       - 1.3.x
 
 env:

.github/workflows/database.yml

@@ -7,7 +7,6 @@ on:
   pull_request:
     branches:
       - master
-      - 1.2.x
       - 1.3.x
     paths-ignore:
       - "doc/**"

.github/workflows/posix.yml

@@ -7,7 +7,6 @@ on:
   pull_request:
     branches:
       - master
-      - 1.2.x
       - 1.3.x
     paths-ignore:
       - "doc/**"

.github/workflows/python-dev.yml

@@ -4,6 +4,7 @@ on:
   push:
     branches:
       - master
+      - 1.3.x
   pull_request:
     branches:
       - master

.github/workflows/sdist.yml

@@ -7,7 +7,6 @@ on:
   pull_request:
     branches:
       - master
-      - 1.2.x
       - 1.3.x
     paths-ignore:
       - "doc/**"

.pre-commit-config.yaml

@@ -60,7 +60,7 @@ repos:
     rev: v2.20.0
     hooks:
     -   id: pyupgrade
-        args: [--py37-plus]
+        args: [--py38-plus]
 -   repo: https://github.com/pre-commit/pygrep-hooks
     rev: v1.9.0
     hooks:

asv_bench/benchmarks/rolling.py

@@ -296,5 +296,8 @@ def time_apply(self, method):
             table_method_func, raw=True, engine="numba"
         )
 
+    def time_ewm_mean(self, method):
+        self.df.ewm(1, method=method).mean(engine="numba")
+
 
 from .pandas_vb_common import setup  # noqa: F401 isort:skip

azure-pipelines.yml

@@ -3,7 +3,6 @@ trigger:
   branches:
     include:
     - master
-    - 1.2.x
     - 1.3.x
   paths:
     exclude:

doc/source/getting_started/install.rst

@@ -262,7 +262,6 @@ Visualization
 ========================= ================== =============================================================
 Dependency                Minimum Version    Notes
 ========================= ================== =============================================================
-setuptools                38.6.0             Utils for entry points of plotting backend
 matplotlib                3.3.2              Plotting library
 Jinja2                    2.11               Conditional formatting with DataFrame.style
 tabulate                  0.8.7              Printing in Markdown-friendly format (see `tabulate`_)

doc/source/whatsnew/v1.4.0.rst

@@ -30,6 +30,7 @@ enhancement2
 Other enhancements
 ^^^^^^^^^^^^^^^^^^
 - :meth:`Series.sample`, :meth:`DataFrame.sample`, and :meth:`.GroupBy.sample` now accept a ``np.random.Generator`` as input to ``random_state``. A generator will be more performant, especially with ``replace=False`` (:issue:`38100`)
+- :meth:`Series.ewm`, :meth:`DataFrame.ewm`, now support a ``method`` argument with a ``'table'`` option that performs the windowing operation over an entire :class:`DataFrame`. See :ref:`Window Overview <window.overview>` for performance and functional benefits (:issue:`42273`)
 -
 
 .. ---------------------------------------------------------------------------
@@ -82,8 +83,6 @@ If installed, we now require:
 +-----------------+-----------------+----------+---------+
 | mypy (dev)      | 0.910           |          |    X    |
 +-----------------+-----------------+----------+---------+
-| setuptools      | 38.6.0          |          |         |
-+-----------------+-----------------+----------+---------+
 
 For `optional libraries <https://pandas.pydata.org/docs/getting_started/install.html>`_ the general recommendation is to use the latest version.
 The following table lists the lowest version per library that is currently being tested throughout the development of pandas.

pandas/__init__.py

@@ -19,10 +19,7 @@
 del hard_dependencies, dependency, missing_dependencies
 
 # numpy compat
-from pandas.compat import (
-    np_version_under1p18 as _np_version_under1p18,
-    is_numpy_dev as _is_numpy_dev,
-)
+from pandas.compat import is_numpy_dev as _is_numpy_dev
 
 try:
     from pandas._libs import hashtable as _hashtable, lib as _lib, tslib as _tslib

pandas/_typing.py

@@ -21,6 +21,7 @@
     Dict,
     Hashable,
     List,
+    Literal,
     Mapping,
     Optional,
     Sequence,
@@ -37,7 +38,6 @@
 # https://mypy.readthedocs.io/en/latest/common_issues.html#import-cycles
 if TYPE_CHECKING:
     from typing import (
-        Literal,
         TypedDict,
         final,
     )
@@ -200,10 +200,7 @@
 ]
 
 # Arguments for fillna()
-if TYPE_CHECKING:
-    FillnaOptions = Literal["backfill", "bfill", "ffill", "pad"]
-else:
-    FillnaOptions = str
+FillnaOptions = Literal["backfill", "bfill", "ffill", "pad"]
 
 # internals
 Manager = Union[

pandas/compat/__init__.py

@@ -16,7 +16,6 @@
     is_numpy_dev,
     np_array_datetime64_compat,
     np_datetime64_compat,
-    np_version_under1p18,
     np_version_under1p19,
     np_version_under1p20,
 )
@@ -27,7 +26,6 @@
     pa_version_under4p0,
 )
 
-PY38 = sys.version_info >= (3, 8)
 PY39 = sys.version_info >= (3, 9)
 PY310 = sys.version_info >= (3, 10)
 PYPY = platform.python_implementation() == "PyPy"
@@ -151,7 +149,6 @@ def get_lzma_file(lzma):
     "is_numpy_dev",
     "np_array_datetime64_compat",
     "np_datetime64_compat",
-    "np_version_under1p18",
     "np_version_under1p19",
     "np_version_under1p20",
     "pa_version_under1p0",

pandas/compat/numpy/__init__.py

@@ -9,7 +9,6 @@
 # numpy versioning
 _np_version = np.__version__
 _nlv = Version(_np_version)
-np_version_under1p18 = _nlv < Version("1.18")
 np_version_under1p19 = _nlv < Version("1.19")
 np_version_under1p20 = _nlv < Version("1.20")
 is_numpy_dev = _nlv.dev is not None

pandas/core/algorithms.py

@@ -8,6 +8,7 @@
 from textwrap import dedent
 from typing import (
     TYPE_CHECKING,
+    Literal,
     Union,
     cast,
 )
@@ -79,7 +80,6 @@
 from pandas.core.indexers import validate_indices
 
 if TYPE_CHECKING:
-    from typing import Literal
 
     from pandas import (
         Categorical,

pandas/core/arrays/base.py

@@ -14,6 +14,7 @@
     Any,
     Callable,
     Iterator,
+    Literal,
     Sequence,
     TypeVar,
     cast,
@@ -72,7 +73,6 @@
 )
 
 if TYPE_CHECKING:
-    from typing import Literal
 
     class ExtensionArraySupportsAnyAll("ExtensionArray"):
         def any(self, *, skipna: bool = True) -> bool:

pandas/core/arrays/datetimelike.py

@@ -9,6 +9,7 @@
     TYPE_CHECKING,
     Any,
     Callable,
+    Literal,
     Sequence,
     TypeVar,
     Union,
@@ -121,7 +122,6 @@
 from pandas.tseries import frequencies
 
 if TYPE_CHECKING:
-    from typing import Literal
 
     from pandas.core.arrays import (
         DatetimeArray,

pandas/core/arrays/datetimes.py

@@ -8,6 +8,7 @@
 )
 from typing import (
     TYPE_CHECKING,
+    Literal,
     cast,
     overload,
 )
@@ -81,7 +82,6 @@
 )
 
 if TYPE_CHECKING:
-    from typing import Literal
 
     from pandas import DataFrame
     from pandas.core.arrays import (

pandas/core/base.py

@@ -10,6 +10,7 @@
     Any,
     Generic,
     Hashable,
+    Literal,
     TypeVar,
     cast,
 )
@@ -64,7 +65,6 @@
 import pandas.core.nanops as nanops
 
 if TYPE_CHECKING:
-    from typing import Literal
 
     from pandas import Categorical
 

pandas/core/common.py

@@ -35,7 +35,6 @@
     Scalar,
     T,
 )
-from pandas.compat import np_version_under1p18
 
 from pandas.core.dtypes.cast import construct_1d_object_array_from_listlike
 from pandas.core.dtypes.common import (
@@ -433,7 +432,7 @@ def random_state(state: RandomState | None = None):
     if (
         is_integer(state)
         or is_array_like(state)
-        or (not np_version_under1p18 and isinstance(state, np.random.BitGenerator))
+        or isinstance(state, np.random.BitGenerator)
     ):
         # error: Argument 1 to "RandomState" has incompatible type "Optional[Union[int,
         # Union[ExtensionArray, ndarray[Any, Any]], Generator, RandomState]]"; expected

pandas/core/dtypes/cast.py

@@ -14,6 +14,7 @@
 from typing import (
     TYPE_CHECKING,
     Any,
+    Literal,
     Sized,
     TypeVar,
     cast,
@@ -93,7 +94,6 @@
 )
 
 if TYPE_CHECKING:
-    from typing import Literal
 
     from pandas.core.arrays import (
         DatetimeArray,

pandas/core/frame.py

@@ -27,6 +27,7 @@
     Hashable,
     Iterable,
     Iterator,
+    Literal,
     Sequence,
     cast,
     overload,
@@ -207,7 +208,6 @@
 import pandas.plotting
 
 if TYPE_CHECKING:
-    from typing import Literal
 
     from pandas._typing import (
         TimedeltaConvertibleTypes,

pandas/core/generic.py

@@ -14,6 +14,7 @@
     AnyStr,
     Callable,
     Hashable,
+    Literal,
     Mapping,
     Sequence,
     cast,
@@ -154,7 +155,6 @@
 from pandas.io.formats.printing import pprint_thing
 
 if TYPE_CHECKING:
-    from typing import Literal
 
     from pandas._libs.tslibs import BaseOffset
     from pandas._typing import RandomState
@@ -10846,6 +10846,7 @@ def ewm(
         ignore_na: bool_t = False,
         axis: Axis = 0,
         times: str | np.ndarray | FrameOrSeries | None = None,
+        method: str = "single",
     ) -> ExponentialMovingWindow:
         axis = self._get_axis_number(axis)
         # error: Value of type variable "FrameOrSeries" of "ExponentialMovingWindow"
@@ -10861,6 +10862,7 @@ def ewm(
             ignore_na=ignore_na,
             axis=axis,
             times=times,
+            method=method,
         )
 
     # ----------------------------------------------------------------------

pandas/core/groupby/generic.py

@@ -1309,6 +1309,8 @@ def _transform_general(self, func, *args, **kwargs):
         fast_path, slow_path = self._define_paths(func, *args, **kwargs)
 
         for name, group in gen:
+            if group.size == 0:
+                continue
             object.__setattr__(group, "name", name)
 
             # Try slow path and fast path.
@@ -1325,9 +1327,7 @@ def _transform_general(self, func, *args, **kwargs):
                 # we need to broadcast across the
                 # other dimension; this will preserve dtypes
                 # GH14457
-                if not np.prod(group.shape):
-                    continue
-                elif res.index.is_(obj.index):
+                if res.index.is_(obj.index):
                     r = concat([res] * len(group.columns), axis=1)
                     r.columns = group.columns
                     r.index = group.index

pandas/core/groupby/groupby.py

@@ -24,6 +24,7 @@ class providing the base-class of operations.
     Iterable,
     Iterator,
     List,
+    Literal,
     Mapping,
     Sequence,
     TypeVar,
@@ -109,7 +110,6 @@ class providing the base-class of operations.
 )
 
 if TYPE_CHECKING:
-    from typing import Literal
 
     from pandas._typing import RandomState
 

pandas/core/indexes/base.py

@@ -9,6 +9,7 @@
     Any,
     Callable,
     Hashable,
+    Literal,
     Sequence,
     TypeVar,
     cast,
@@ -159,7 +160,6 @@
 )
 
 if TYPE_CHECKING:
-    from typing import Literal
 
     from pandas import (
         CategoricalIndex,

pandas/core/resample.py

@@ -4,9 +4,9 @@
 from datetime import timedelta
 from textwrap import dedent
 from typing import (
-    TYPE_CHECKING,
     Callable,
     Hashable,
+    Literal,
     no_type_check,
 )
 
@@ -88,9 +88,6 @@
     Tick,
 )
 
-if TYPE_CHECKING:
-    from typing import Literal
-
 _shared_docs_kwargs: dict[str, str] = {}