From 1ed927967871f9e2c450c08f90e7f3454ae849ab Mon Sep 17 00:00:00 2001
From: Tony Lorenzo <atlorenzo@email.arizona.edu>
Date: Wed, 24 Jul 2019 04:42:09 -0700
Subject: [PATCH] Backport PR #27549: BUG: Fix interpolate ValueError for
 datetime64_tz index

---
 doc/source/whatsnew/v0.25.1.rst     |  2 +-
 pandas/core/generic.py              |  3 +--
 pandas/tests/series/test_missing.py | 14 ++++++++++----
 3 files changed, 12 insertions(+), 7 deletions(-)

diff --git a/doc/source/whatsnew/v0.25.1.rst b/doc/source/whatsnew/v0.25.1.rst
index 6234bc0f7bd35..a769930c9cd9b 100644
--- a/doc/source/whatsnew/v0.25.1.rst
+++ b/doc/source/whatsnew/v0.25.1.rst
@@ -56,7 +56,7 @@ Timezones
 
 Numeric
 ^^^^^^^
--
+- Bug in :meth:`Series.interpolate` when using a timezone aware :class:`DatetimeIndex` (:issue:`27548`)
 -
 -
 
diff --git a/pandas/core/generic.py b/pandas/core/generic.py
index f28f58b070368..19f126c36cde7 100644
--- a/pandas/core/generic.py
+++ b/pandas/core/generic.py
@@ -30,7 +30,6 @@
     is_bool,
     is_bool_dtype,
     is_datetime64_any_dtype,
-    is_datetime64_dtype,
     is_datetime64tz_dtype,
     is_dict_like,
     is_extension_array_dtype,
@@ -7035,7 +7034,7 @@ def interpolate(
             methods = {"index", "values", "nearest", "time"}
             is_numeric_or_datetime = (
                 is_numeric_dtype(index)
-                or is_datetime64_dtype(index)
+                or is_datetime64_any_dtype(index)
                 or is_timedelta64_dtype(index)
             )
             if method not in methods and not is_numeric_or_datetime:
diff --git a/pandas/tests/series/test_missing.py b/pandas/tests/series/test_missing.py
index c5fc52b9b0c41..10375719be8d2 100644
--- a/pandas/tests/series/test_missing.py
+++ b/pandas/tests/series/test_missing.py
@@ -1518,10 +1518,16 @@ def test_interp_nonmono_raise(self):
             s.interpolate(method="krogh")
 
     @td.skip_if_no_scipy
-    def test_interp_datetime64(self):
-        df = Series([1, np.nan, 3], index=date_range("1/1/2000", periods=3))
-        result = df.interpolate(method="nearest")
-        expected = Series([1.0, 1.0, 3.0], index=date_range("1/1/2000", periods=3))
+    @pytest.mark.parametrize("method", ["nearest", "pad"])
+    def test_interp_datetime64(self, method, tz_naive_fixture):
+        df = Series(
+            [1, np.nan, 3], index=date_range("1/1/2000", periods=3, tz=tz_naive_fixture)
+        )
+        result = df.interpolate(method=method)
+        expected = Series(
+            [1.0, 1.0, 3.0],
+            index=date_range("1/1/2000", periods=3, tz=tz_naive_fixture),
+        )
         assert_series_equal(result, expected)
 
     def test_interp_limit_no_nans(self):