From 1ad607a52664a3cbd1be452e7580df99af726001 Mon Sep 17 00:00:00 2001
From: Simon Hawkins <simonjayhawkins@gmail.com>
Date: Fri, 10 Dec 2021 00:22:30 +0000
Subject: [PATCH 1/2] Backport PR #44828: REGR: resampling DataFrame with
 DateTimeIndex with empty groups and uint8, uint16 or uint32 columns
 incorrectly raising RuntimeError

---
 doc/source/whatsnew/v1.3.5.rst               |  1 +
 pandas/core/groupby/ops.py                   |  7 +++---
 pandas/tests/resample/test_datetime_index.py | 24 ++++++++++++++++++++
 3 files changed, 29 insertions(+), 3 deletions(-)

diff --git a/doc/source/whatsnew/v1.3.5.rst b/doc/source/whatsnew/v1.3.5.rst
index 048cd978c4478..49d37eff63323 100644
--- a/doc/source/whatsnew/v1.3.5.rst
+++ b/doc/source/whatsnew/v1.3.5.rst
@@ -16,6 +16,7 @@ Fixed regressions
 ~~~~~~~~~~~~~~~~~
 - Fixed regression in :meth:`Series.equals` when comparing floats with dtype object to None (:issue:`44190`)
 - Fixed regression in :func:`merge_asof` raising error when array was supplied as join key (:issue:`42844`)
+- Fixed regression when resampling :class:`DataFrame` with :class:`DateTimeIndex` with empty groups and ``uint8``, ``uint16`` or ``uint32`` columns incorrectly raising ``RuntimeError`` (:issue:`43329`)
 - Fixed regression in creating a :class:`DataFrame` from a timezone-aware :class:`Timestamp` scalar near a Daylight Savings Time transition (:issue:`42505`)
 - Fixed performance regression in :func:`read_csv` (:issue:`44106`)
 - Fixed regression in :meth:`Series.duplicated` and :meth:`Series.drop_duplicates` when Series has :class:`Categorical` dtype with boolean categories (:issue:`44351`)
diff --git a/pandas/core/groupby/ops.py b/pandas/core/groupby/ops.py
index dbc225454766d..c12ec8043b61a 100644
--- a/pandas/core/groupby/ops.py
+++ b/pandas/core/groupby/ops.py
@@ -546,9 +546,10 @@ def _call_cython_op(
         elif is_bool_dtype(dtype):
             values = values.astype("int64")
         elif is_integer_dtype(dtype):
-            # e.g. uint8 -> uint64, int16 -> int64
-            dtype_str = dtype.kind + "8"
-            values = values.astype(dtype_str, copy=False)
+            # GH#43329 If the dtype is explicitly of type uint64 the type is not
+            # changed to prevent overflow.
+            if dtype != np.uint64:
+                values = values.astype(np.int64, copy=False)
         elif is_numeric:
             if not is_complex_dtype(dtype):
                 values = ensure_float64(values)
diff --git a/pandas/tests/resample/test_datetime_index.py b/pandas/tests/resample/test_datetime_index.py
index 5594659fb4b03..614780604a8ee 100644
--- a/pandas/tests/resample/test_datetime_index.py
+++ b/pandas/tests/resample/test_datetime_index.py
@@ -1827,3 +1827,27 @@ def test_resample_aggregate_functions_min_count(func):
         index=DatetimeIndex(["2020-03-31"], dtype="datetime64[ns]", freq="Q-DEC"),
     )
     tm.assert_series_equal(result, expected)
+
+
+def test_resample_unsigned_int(any_unsigned_int_numpy_dtype):
+    # gh-43329
+    df = DataFrame(
+        index=date_range(start="2000-01-01", end="2000-01-03 23", freq="12H"),
+        columns=["x"],
+        data=[0, 1, 0] * 2,
+        dtype=any_unsigned_int_numpy_dtype,
+    )
+    df = df.loc[(df.index < "2000-01-02") | (df.index > "2000-01-03"), :]
+
+    if any_unsigned_int_numpy_dtype == "uint64":
+        with pytest.raises(RuntimeError, match="empty group with uint64_t"):
+            result = df.resample("D").max()
+    else:
+        result = df.resample("D").max()
+
+        expected = DataFrame(
+            [1, np.nan, 0],
+            columns=["x"],
+            index=date_range(start="2000-01-01", end="2000-01-03 23", freq="D"),
+        )
+        tm.assert_frame_equal(result, expected)

From 90bb167ddd8237d4c58d8618771eb727e3d56b0a Mon Sep 17 00:00:00 2001
From: Simon Hawkins <simonjayhawkins@gmail.com>
Date: Fri, 10 Dec 2021 11:06:04 +0000
Subject: [PATCH 2/2] rename fixture

---
 pandas/tests/resample/test_datetime_index.py | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/pandas/tests/resample/test_datetime_index.py b/pandas/tests/resample/test_datetime_index.py
index 614780604a8ee..2006ffdbcf9e0 100644
--- a/pandas/tests/resample/test_datetime_index.py
+++ b/pandas/tests/resample/test_datetime_index.py
@@ -1829,17 +1829,17 @@ def test_resample_aggregate_functions_min_count(func):
     tm.assert_series_equal(result, expected)
 
 
-def test_resample_unsigned_int(any_unsigned_int_numpy_dtype):
+def test_resample_unsigned_int(uint_dtype):
     # gh-43329
     df = DataFrame(
         index=date_range(start="2000-01-01", end="2000-01-03 23", freq="12H"),
         columns=["x"],
         data=[0, 1, 0] * 2,
-        dtype=any_unsigned_int_numpy_dtype,
+        dtype=uint_dtype,
     )
     df = df.loc[(df.index < "2000-01-02") | (df.index > "2000-01-03"), :]
 
-    if any_unsigned_int_numpy_dtype == "uint64":
+    if uint_dtype == "uint64":
         with pytest.raises(RuntimeError, match="empty group with uint64_t"):
             result = df.resample("D").max()
     else: