BUG: DataFrame.from_records with tzaware (#51162)

Author: jbrockmendel

doc/source/whatsnew/v2.0.0.rst

@@ -1131,6 +1131,7 @@ Datetimelike
 - Bug in :func:`to_datetime` with unit of "Y" or "M" giving incorrect results, not matching pointwise :class:`Timestamp` results (:issue:`50870`)
 - Bug in :meth:`Series.interpolate` and :meth:`DataFrame.interpolate` with datetime or timedelta dtypes incorrectly raising ``ValueError`` (:issue:`11312`)
 - Bug in :func:`to_datetime` was not returning input with ``errors='ignore'`` when input was out-of-bounds (:issue:`50587`)
+- Bug in :func:`DataFrame.from_records` when given a :class:`DataFrame` input with timezone-aware datetime64 columns incorrectly dropping the timezone-awareness (:issue:`51162`)
 -
 
 Timedelta

pandas/core/internals/construction.py

@@ -764,13 +764,13 @@ def to_arrays(
         # see test_from_records_with_index_data, test_from_records_bad_index_column
         if columns is not None:
             arrays = [
-                data._ixs(i, axis=1).values
+                data._ixs(i, axis=1)._values
                 for i, col in enumerate(data.columns)
                 if col in columns
             ]
         else:
             columns = data.columns
-            arrays = [data._ixs(i, axis=1).values for i in range(len(columns))]
+            arrays = [data._ixs(i, axis=1)._values for i in range(len(columns))]
 
         return arrays, columns
 

pandas/tests/frame/constructors/test_from_records.py

@@ -15,11 +15,19 @@
     Interval,
     RangeIndex,
     Series,
+    date_range,
 )
 import pandas._testing as tm
 
 
 class TestFromRecords:
+    def test_from_records_dt64tz_frame(self):
+        # GH#51162 don't lose tz when calling from_records with DataFrame input
+        dti = date_range("2016-01-01", periods=10, tz="US/Pacific")
+        df = DataFrame({i: dti for i in range(4)})
+        res = DataFrame.from_records(df)
+        tm.assert_frame_equal(res, df)
+
     def test_from_records_with_datetimes(self):
 
         # this may fail on certain platforms because of a numpy issue