From af187c3d30d5b5263d0d8028b5a4fe5aa564c2bb Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?H=C3=A5kon=20V=2E=20Treider?= <haakonvt@gmail.com>
Date: Wed, 25 Mar 2026 13:29:32 +0100
Subject: [PATCH 1/3] get pandas v3 on py>=3.11

---
 poetry.lock | 498 +++++++++++++++++++++++++++++++---------------------
 1 file changed, 302 insertions(+), 196 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 39475bcbea..18341f4356 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -14,14 +14,14 @@ files = [
 
 [[package]]
 name = "anyio"
-version = "4.12.1"
+version = "4.13.0"
 description = "High-level concurrency and networking framework on top of asyncio or Trio"
 optional = false
-python-versions = ">=3.9"
+python-versions = ">=3.10"
 groups = ["main", "dev"]
 files = [
-    {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"},
-    {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"},
+    {file = "anyio-4.13.0-py3-none-any.whl", hash = "sha256:08b310f9e24a9594186fd75b4f73f4a4152069e3853f1ed8bfbf58369f4ad708"},
+    {file = "anyio-4.13.0.tar.gz", hash = "sha256:334b70e641fd2221c1505b3890c69882fe4a2df910cba14d97019b90b24439dc"},
 ]
 
 [package.dependencies]
@@ -30,7 +30,7 @@ idna = ">=2.8"
 typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""}
 
 [package.extras]
-trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""]
+trio = ["trio (>=0.32.0)"]
 
 [[package]]
 name = "asttokens"
@@ -219,125 +219,141 @@ files = [
 
 [[package]]
 name = "charset-normalizer"
-version = "3.4.5"
+version = "3.4.6"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 optional = false
 python-versions = ">=3.7"
 groups = ["main", "dev", "docs"]
 files = [
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 [[package]]
@@ -792,14 +808,14 @@ test = ["coverage[toml]", "pretend", "pytest", "pytest-cov"]
 
 [[package]]
 name = "identify"
-version = "2.6.17"
+version = "2.6.18"
 description = "File identification library for Python"
 optional = false
 python-versions = ">=3.10"
 groups = ["dev"]
 files = [
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 ]
 
 [package.extras]
@@ -827,7 +843,7 @@ description = "Getting image size from png/jpeg/jpeg2000/gif file"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7"
 groups = ["docs"]
-markers = "python_version >= \"3.12\""
+markers = "python_version >= \"3.14\""
 files = [
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@@ -840,7 +856,7 @@ description = "Get image size from headers (BMP/PNG/JPEG/JPEG2000/GIF/TIFF/SVG/N
 optional = false
 python-versions = "<3.15,>=3.10"
 groups = ["docs"]
-markers = "python_version < \"3.12\""
+markers = "python_version < \"3.14\""
 files = [
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@@ -848,28 +864,28 @@ files = [
 
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 name = "importlib-metadata"
-version = "8.7.1"
+version = "9.0.0"
 description = "Read metadata from Python packages"
 optional = false
-python-versions = ">=3.9"
+python-versions = ">=3.10"
 groups = ["dev"]
 markers = "python_version < \"3.12\" and platform_machine != \"ppc64le\" and platform_machine != \"s390x\""
 files = [
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 ]
 
 [package.dependencies]
 zipp = ">=3.20"
 
 [package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
+check = ["pytest-checkdocs (>=2.14)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
 cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 enabler = ["pytest-enabler (>=3.4)"]
 perf = ["ipython"]
-test = ["flufl.flake8", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"]
-type = ["mypy (<1.19) ; platform_python_implementation == \"PyPy\"", "pytest-mypy (>=1.0.1)"]
+test = ["packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"]
+type = ["pytest-mypy (>=1.0.1) ; platform_python_implementation != \"PyPy\""]
 
 [[package]]
 name = "iniconfig"
@@ -1028,27 +1044,27 @@ testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-ena
 
 [[package]]
 name = "jaraco-context"
-version = "6.1.1"
+version = "6.1.2"
 description = "Useful decorators and context managers"
 optional = false
-python-versions = ">=3.9"
+python-versions = ">=3.10"
 groups = ["dev"]
 markers = "platform_machine != \"ppc64le\" and platform_machine != \"s390x\""
 files = [
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 ]
 
 [package.dependencies]
 "backports.tarfile" = {version = "*", markers = "python_version < \"3.12\""}
 
 [package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
+check = ["pytest-checkdocs (>=2.14)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
 cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 enabler = ["pytest-enabler (>=3.4)"]
 test = ["jaraco.test (>=5.6.0)", "portend", "pytest (>=6,!=8.1.*)"]
-type = ["mypy (<1.19) ; platform_python_implementation == \"PyPy\"", "pytest-mypy (>=1.0.1)"]
+type = ["pytest-mypy (>=1.0.1) ; platform_python_implementation != \"PyPy\""]
 
 [[package]]
 name = "jaraco-functools"
@@ -1101,7 +1117,7 @@ description = "Low-level, pure Python DBus protocol wrapper."
 optional = false
 python-versions = ">=3.7"
 groups = ["dev"]
-markers = "platform_machine != \"ppc64le\" and platform_machine != \"s390x\" and sys_platform == \"linux\""
+markers = "sys_platform == \"linux\" and platform_machine != \"ppc64le\" and platform_machine != \"s390x\""
 files = [
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@@ -1554,39 +1570,39 @@ files = [
 
 [[package]]
 name = "nh3"
-version = "0.3.3"
+version = "0.3.4"
 description = "Python binding to Ammonia HTML sanitizer Rust crate"
 optional = false
 python-versions = ">=3.8"
 groups = ["dev"]
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 ]
 
 [[package]]
@@ -1769,7 +1785,7 @@ description = "Powerful data structures for data analysis, time series, and stat
 optional = true
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "extra == \"pandas\" or extra == \"all\" or extra == \"geo\""
+markers = "python_version == \"3.10\" and (extra == \"pandas\" or extra == \"all\" or extra == \"geo\")"
 files = [
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@@ -1829,11 +1845,7 @@ files = [
 ]
 
 [package.dependencies]
-numpy = [
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-    {version = ">=1.23.2", markers = "python_version == \"3.11\""},
-    {version = ">=1.26.0", markers = "python_version >= \"3.12\""},
-]
+numpy = {version = ">=1.22.4", markers = "python_version < \"3.11\""}
 python-dateutil = ">=2.8.2"
 pytz = ">=2020.1"
 tzdata = ">=2022.7"
@@ -1863,6 +1875,99 @@ sql-other = ["SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "adbc-d
 test = ["hypothesis (>=6.46.1)", "pytest (>=7.3.2)", "pytest-xdist (>=2.2.0)"]
 xml = ["lxml (>=4.9.2)"]
 
+[[package]]
+name = "pandas"
+version = "3.0.1"
+description = "Powerful data structures for data analysis, time series, and statistics"
+optional = true
+python-versions = ">=3.11"
+groups = ["main"]
+markers = "python_version >= \"3.11\" and (extra == \"pandas\" or extra == \"all\" or extra == \"geo\")"
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+timezone = ["pytz (>=2024.2)"]
+xml = ["lxml (>=5.3.0)"]
+
 [[package]]
 name = "parso"
 version = "0.8.6"
@@ -2017,20 +2122,20 @@ wcwidth = "*"
 
 [[package]]
 name = "protobuf"
-version = "7.34.0"
+version = "7.34.1"
 description = ""
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
 files = [
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 ]
 
 [[package]]
@@ -2080,7 +2185,7 @@ description = "C parser in Python"
 optional = false
 python-versions = ">=3.10"
 groups = ["main", "dev"]
-markers = "platform_python_implementation != \"PyPy\" and implementation_name != \"PyPy\""
+markers = "implementation_name != \"PyPy\" and platform_python_implementation != \"PyPy\""
 files = [
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@@ -2115,18 +2220,19 @@ windows-terminal = ["colorama (>=0.4.6)"]
 
 [[package]]
 name = "pyjwt"
-version = "2.12.0"
+version = "2.12.1"
 description = "JSON Web Token implementation in Python"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
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 ]
 
 [package.dependencies]
 cryptography = {version = ">=3.4.0", optional = true, markers = "extra == \"crypto\""}
+typing_extensions = {version = ">=4.0", markers = "python_version < \"3.11\""}
 
 [package.extras]
 crypto = ["cryptography (>=3.4.0)"]
@@ -2450,14 +2556,14 @@ six = ">=1.5"
 
 [[package]]
 name = "python-discovery"
-version = "1.1.3"
+version = "1.2.0"
 description = "Python interpreter discovery"
 optional = false
 python-versions = ">=3.8"
 groups = ["dev"]
 files = [
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+    {file = "python_discovery-1.2.0-py3-none-any.whl", hash = "sha256:1e108f1bbe2ed0ef089823d28805d5ad32be8e734b86a5f212bf89b71c266e4a"},
+    {file = "python_discovery-1.2.0.tar.gz", hash = "sha256:7d33e350704818b09e3da2bd419d37e21e7c30db6e0977bb438916e06b41b5b1"},
 ]
 
 [package.dependencies]
@@ -2490,7 +2596,7 @@ description = "World timezone definitions, modern and historical"
 optional = true
 python-versions = "*"
 groups = ["main"]
-markers = "extra == \"pandas\" or extra == \"all\" or extra == \"geo\""
+markers = "python_version == \"3.10\" and (extra == \"pandas\" or extra == \"all\" or extra == \"geo\")"
 files = [
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@@ -2503,7 +2609,7 @@ description = "A (partial) reimplementation of pywin32 using ctypes/cffi"
 optional = false
 python-versions = ">=3.6"
 groups = ["dev"]
-markers = "platform_machine != \"ppc64le\" and platform_machine != \"s390x\" and sys_platform == \"win32\""
+markers = "sys_platform == \"win32\" and platform_machine != \"ppc64le\" and platform_machine != \"s390x\""
 files = [
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@@ -2733,7 +2839,7 @@ description = "Python bindings to FreeDesktop.org Secret Service API"
 optional = false
 python-versions = ">=3.10"
 groups = ["dev"]
-markers = "platform_machine != \"ppc64le\" and platform_machine != \"s390x\" and sys_platform == \"linux\""
+markers = "sys_platform == \"linux\" and platform_machine != \"ppc64le\" and platform_machine != \"s390x\""
 files = [
     {file = "secretstorage-3.5.0-py3-none-any.whl", hash = "sha256:0ce65888c0725fcb2c5bc0fdb8e5438eece02c523557ea40ce0703c266248137"},
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@@ -3311,14 +3417,14 @@ files = [
 
 [[package]]
 name = "types-requests"
-version = "2.32.4.20260107"
+version = "2.32.4.20260324"
 description = "Typing stubs for requests"
 optional = false
-python-versions = ">=3.9"
+python-versions = ">=3.10"
 groups = ["dev"]
 files = [
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-    {file = "types_requests-2.32.4.20260107.tar.gz", hash = "sha256:018a11ac158f801bfa84857ddec1650750e393df8a004a8a9ae2a9bec6fcb24f"},
+    {file = "types_requests-2.32.4.20260324-py3-none-any.whl", hash = "sha256:f83ef2deb284fe99a249b8b0b0a3e4b9809e01ff456063c4df0aac7670c07ab9"},
+    {file = "types_requests-2.32.4.20260324.tar.gz", hash = "sha256:33a2a9ccb1de7d4e4da36e347622c35418f6761269014cc32857acabd5df739e"},
 ]
 
 [package.dependencies]
@@ -3367,7 +3473,7 @@ description = "Provider of IANA time zone data"
 optional = false
 python-versions = ">=2"
 groups = ["main"]
-markers = "platform_system == \"Windows\" and extra == \"pyodide\" or extra == \"pandas\" or extra == \"all\" or extra == \"geo\""
+markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or extra == \"pyodide\" or python_version == \"3.10\") and (sys_platform == \"win32\" or sys_platform == \"emscripten\" or platform_system == \"Windows\" or python_version == \"3.10\") and (platform_system == \"Windows\" or extra == \"pandas\" or extra == \"all\" or extra == \"geo\") and (extra == \"pyodide\" or extra == \"pandas\" or extra == \"all\" or extra == \"geo\")"
 files = [
     {file = "tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1"},
     {file = "tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7"},

From d65f6c4778b0de6813b371189fb3fbc79a55e304 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?H=C3=A5kon=20V=2E=20Treider?= <haakonvt@gmail.com>
Date: Wed, 25 Mar 2026 13:38:35 +0100
Subject: [PATCH 2/3] use millisec for all pandas datetime indexes

---
 cognite/client/utils/_pandas_helpers.py | 14 +++++++++-----
 1 file changed, 9 insertions(+), 5 deletions(-)

diff --git a/cognite/client/utils/_pandas_helpers.py b/cognite/client/utils/_pandas_helpers.py
index abe69a168e..90cf966ad9 100644
--- a/cognite/client/utils/_pandas_helpers.py
+++ b/cognite/client/utils/_pandas_helpers.py
@@ -145,7 +145,7 @@ def convert_nullable_int_cols(df: pd.DataFrame) -> pd.DataFrame:
 
 def convert_timestamp_columns_to_datetime(df: pd.DataFrame) -> pd.DataFrame:
     to_convert = df.columns.intersection(TIME_ATTRIBUTES)
-    df[to_convert] = (1_000_000 * df[to_convert]).astype("datetime64[ns]")
+    df[to_convert] = df[to_convert].astype("datetime64[ms]")
     return df
 
 
@@ -381,12 +381,16 @@ def _create_timestamp_index(
 
     match timestamps, timezone:
         case list(), None:
-            return pd.to_datetime(timestamps, unit="ms")
+            return pd.to_datetime(timestamps, unit="ms").as_unit("ms")
         case list(), _:
-            return pd.to_datetime(timestamps, unit="ms", utc=True).tz_convert(convert_tz_for_pandas(timezone))
+            return (
+                pd.to_datetime(timestamps, unit="ms", utc=True)
+                .tz_convert(convert_tz_for_pandas(timezone))
+                .as_unit("ms")
+            )
         case np.ndarray(), None:
-            return pd.to_datetime(timestamps)
+            return pd.to_datetime(timestamps).as_unit("ms")
         case np.ndarray(), _:
-            return pd.to_datetime(timestamps, utc=True).tz_convert(convert_tz_for_pandas(timezone))
+            return pd.to_datetime(timestamps, utc=True).as_unit("ms").tz_convert(convert_tz_for_pandas(timezone))
         case _:
             raise TypeError("Timestamps must be either list[int] or numpy.ndarray")

From b6f0dd52281ac39ff3a835a86a8554e52576f56b Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?H=C3=A5kon=20V=2E=20Treider?= <haakonvt@gmail.com>
Date: Wed, 25 Mar 2026 13:41:54 +0100
Subject: [PATCH 3/3] update pandas tests to work with v3

---
 .../test_api/test_datapoint_subscriptions.py  |  2 +-
 .../test_api/test_datapoints.py               | 81 ++++++++++---------
 tests/tests_unit/test_api/test_datapoints.py  | 18 +++--
 tests/tests_unit/test_api/test_raw.py         |  6 +-
 tests/tests_unit/test_api/test_sequences.py   |  4 +-
 tests/tests_unit/test_api/test_time_series.py |  4 +-
 tests/tests_unit/test_base.py                 |  2 +-
 .../test_data_models/test_typed_instances.py  |  4 +-
 .../test_data_classes/test_datapoints.py      |  2 +-
 .../test_data_classes/test_groups.py          |  2 +-
 10 files changed, 69 insertions(+), 56 deletions(-)

diff --git a/tests/tests_integration/test_api/test_datapoint_subscriptions.py b/tests/tests_integration/test_api/test_datapoint_subscriptions.py
index 3bd70f1f69..3fd3aa3799 100644
--- a/tests/tests_integration/test_api/test_datapoint_subscriptions.py
+++ b/tests/tests_integration/test_api/test_datapoint_subscriptions.py
@@ -323,7 +323,7 @@ def test_iterate_data_subscription_datapoints_added(
                 {time_series_external_ids[0]: new_values},
                 index=pd.date_range(start=start, periods=2, freq="1d"),
             )
-            new_timestamps = new_data.index.asi8 // 10**6
+            new_timestamps = new_data.index.as_unit("ms").asi8
             try:
                 cognite_client.time_series.data.insert_dataframe(new_data)
                 batch = next(cognite_client.time_series.subscriptions.iterate_data(new_subscription.external_id))
diff --git a/tests/tests_integration/test_api/test_datapoints.py b/tests/tests_integration/test_api/test_datapoints.py
index 0bb0e104fe..f2ed549f3b 100644
--- a/tests/tests_integration/test_api/test_datapoints.py
+++ b/tests/tests_integration/test_api/test_datapoints.py
@@ -1577,24 +1577,28 @@ def test_query_no_ts_exists(self, retrieve_endpoints: list[Callable]) -> None:
     def test_timezone_raw_query_dst_transitions(
         self, all_retrieve_endpoints: list[Callable], dps_queries_dst_transitions: list[DatapointsQuery]
     ) -> None:
-        expected_index = pd.to_datetime(
-            [
-                # to summer
-                "1991-03-31 00:20:05.911+01:00",
-                "1991-03-31 00:39:49.780+01:00",
-                "1991-03-31 03:21:08.144+02:00",
-                "1991-03-31 03:28:06.963+02:00",
-                "1991-03-31 03:28:51.903+02:00",
-                # to winter
-                "1991-09-29 01:02:37.949+02:00",
-                "1991-09-29 02:09:29.699+02:00",
-                "1991-09-29 02:11:39.983+02:00",
-                "1991-09-29 02:10:59.442+01:00",
-                "1991-09-29 02:52:26.212+01:00",
-                "1991-09-29 04:12:02.558+01:00",
-            ],
-            utc=True,  # pandas is not great at parameter names
-        ).tz_convert("Europe/Oslo")
+        expected_index = (
+            pd.to_datetime(
+                [
+                    # to summer
+                    "1991-03-31 00:20:05.911+01:00",
+                    "1991-03-31 00:39:49.780+01:00",
+                    "1991-03-31 03:21:08.144+02:00",
+                    "1991-03-31 03:28:06.963+02:00",
+                    "1991-03-31 03:28:51.903+02:00",
+                    # to winter
+                    "1991-09-29 01:02:37.949+02:00",
+                    "1991-09-29 02:09:29.699+02:00",
+                    "1991-09-29 02:11:39.983+02:00",
+                    "1991-09-29 02:10:59.442+01:00",
+                    "1991-09-29 02:52:26.212+01:00",
+                    "1991-09-29 04:12:02.558+01:00",
+                ],
+                utc=True,  # pandas is not great at parameter names
+            )
+            .tz_convert("Europe/Oslo")
+            .as_unit("ms")
+        )
         expected_to_summer_index = expected_index[:5]
         expected_to_winter_index = expected_index[5:]
         for endpoint, convert in zip(all_retrieve_endpoints, (True, True, False)):
@@ -2201,21 +2205,25 @@ def test_timezone_agg_query_dst_transitions(
     ) -> None:
         expected_values1 = [-0.0408386913634, -0.1204416510548, -0.1519269888052, 0.00331827604225]
         expected_values2 = [-0.0503489023269, 0.190474485259, 0.102249925079, -0.1000846729966]
-        expected_index = pd.to_datetime(
-            [
-                # to summer
-                "2023-03-26 00:00:00+01:00",
-                "2023-03-26 01:00:00+01:00",
-                "2023-03-26 03:00:00+02:00",
-                "2023-03-26 04:00:00+02:00",
-                # to winter
-                "2023-10-29 01:00:00+02:00",
-                "2023-10-29 02:00:00+02:00",
-                "2023-10-29 02:00:00+01:00",
-                "2023-10-29 03:00:00+01:00",
-            ],
-            utc=True,  # pandas is still not great at parameter names
-        ).tz_convert("Europe/Oslo")
+        expected_index = (
+            pd.to_datetime(
+                [
+                    # to summer
+                    "2023-03-26 00:00:00+01:00",
+                    "2023-03-26 01:00:00+01:00",
+                    "2023-03-26 03:00:00+02:00",
+                    "2023-03-26 04:00:00+02:00",
+                    # to winter
+                    "2023-10-29 01:00:00+02:00",
+                    "2023-10-29 02:00:00+02:00",
+                    "2023-10-29 02:00:00+01:00",
+                    "2023-10-29 03:00:00+01:00",
+                ],
+                utc=True,  # pandas is still not great at parameter names
+            )
+            .tz_convert("Europe/Oslo")
+            .as_unit("ms")
+        )
         expected_to_summer_index = expected_index[:4]
         expected_to_winter_index = expected_index[4:]
         for endpoint, convert in zip(all_retrieve_endpoints, (True, True, False)):
@@ -2449,7 +2457,8 @@ def test_raw_dps(
             assert res_df.isna().sum().sum() == 0
             assert res_df.shape == (exp_len, n_ts)
             assert res_df.dtypes.nunique() == 1
-            assert res_df.dtypes.iloc[0] == exp_dtype
+            dtype = res_df.dtypes.iloc[0]
+            assert dtype == exp_dtype or (exp_dtype is object and pd.api.types.is_string_dtype(dtype))
 
     @pytest.mark.parametrize("uniform, exp_n_ts_delta, exp_n_nans_step_interp", ((True, 1, 1), (False, 2, 0)))
     def test_agg_uniform_true_false(
@@ -2504,8 +2513,8 @@ def test_low_limits(
         )
         # We have duplicates in df.columns, so to test specific columns, we reset first:
         res_df.columns = c1, c2, c3, c4, *cx = range(len(res_df.columns))
-        assert res_df[[c1, c2]].dtypes.unique() == [object]
-        assert res_df[[c3, c4, *cx]].dtypes.unique() == [np.float64]
+        assert all(pd.api.types.is_string_dtype(dt) for dt in res_df[[c1, c2]].dtypes)
+        assert (res_df[[c3, c4, *cx]].dtypes == np.float64).all()
         assert (res_df[[c1, c3, *cx]].count() == [limit] * (len(cx) + 2)).all()
         assert (res_df[[c2, c4]].count() == [limit + 2] * 2).all()
 
diff --git a/tests/tests_unit/test_api/test_datapoints.py b/tests/tests_unit/test_api/test_datapoints.py
index 3240cb1ac4..26879f2b96 100644
--- a/tests/tests_unit/test_api/test_datapoints.py
+++ b/tests/tests_unit/test_api/test_datapoints.py
@@ -589,7 +589,7 @@ def test_datapoints(self) -> None:
         expected_df = pd.DataFrame(
             # Since ID is not unique, we use stand-in column names initially, then replace:
             {"first-col": [2, 3, 4.0], "second-col": [3, 4, 5.0]},
-            index=pd.to_datetime(range(1, 4), unit="ms"),
+            index=pd.to_datetime(range(1, 4), unit="ms").as_unit("ms"),
         )
         expected_df.columns = pd.MultiIndex.from_tuples(
             [(1, "average"), (1, "step_interpolation")],
@@ -601,11 +601,11 @@ def test_datapoints_no_names(self) -> None:
         import pandas as pd
 
         d = Datapoints(id=1, is_string=False, is_step=False, type="numeric", timestamp=[1, 2, 3], average=[2, 3, 4])
-        expected_df = pd.DataFrame({1: [2, 3, 4.0]}, index=pd.to_datetime(range(1, 4), unit="ms"))
+        expected_df = pd.DataFrame({1: [2, 3, 4.0]}, index=pd.to_datetime(range(1, 4), unit="ms").as_unit("ms"))
         expected_df.columns = pd.MultiIndex.from_tuples([(1,)], names=["identifier"])
         pd.testing.assert_frame_equal(expected_df, d.to_pandas(include_aggregate_name=False))
 
-        expected_df = pd.DataFrame({1: [2, 3, 4.0]}, index=pd.to_datetime(range(1, 4), unit="ms"))
+        expected_df = pd.DataFrame({1: [2, 3, 4.0]}, index=pd.to_datetime(range(1, 4), unit="ms").as_unit("ms"))
         expected_df.columns = pd.MultiIndex.from_tuples([(1, "average")], names=["identifier", "aggregate"])
         pd.testing.assert_frame_equal(expected_df, d.to_pandas(include_aggregate_name=True))
 
@@ -624,7 +624,7 @@ def test_id_and_external_id_set_gives_external_id_columns(self) -> None:
         )
         expected_df = pd.DataFrame(
             {"abc": [2, 3, 4.0], "also-abc": [3, 4, 5.0]},
-            index=pd.to_datetime(range(1, 4), unit="ms"),
+            index=pd.to_datetime(range(1, 4), unit="ms").as_unit("ms"),
         )
         expected_df.columns = pd.MultiIndex.from_tuples(
             [("abc", "average"), ("abc", "step_interpolation")],
@@ -668,7 +668,7 @@ def test_datapoints_list(self) -> None:
                 "col4": [3, 4, 5, None],
                 "col5": [1, None, 3, 4.0],
             },
-            index=pd.to_datetime(range(1, 5), unit="ms"),
+            index=pd.to_datetime(range(1, 5), unit="ms").as_unit("ms"),
         )
         expected_df.columns = pd.MultiIndex.from_tuples(
             [(1, "average"), (1, "step_interpolation"), ("foo", "count"), ("foo", "step_interpolation"), (3, "")],
@@ -682,7 +682,9 @@ def test_datapoints_list_names(self) -> None:
         d1 = Datapoints(id=2, is_string=False, is_step=False, type="numeric", timestamp=[1, 2, 3], max=[2, 3, 4])
         d2 = Datapoints(id=3, is_string=False, is_step=False, type="numeric", timestamp=[1, 3], average=[1, 3])
         dps_list = DatapointsList([d1, d2])
-        expected_df = pd.DataFrame({1: [2, 3, 4.0], 2: [1, None, 3]}, index=pd.to_datetime(range(1, 4), unit="ms"))
+        expected_df = pd.DataFrame(
+            {1: [2, 3, 4.0], 2: [1, None, 3]}, index=pd.to_datetime(range(1, 4), unit="ms").as_unit("ms")
+        )
         expected_df.columns = pd.MultiIndex.from_tuples([(2, "max"), (3, "average")], names=["identifier", "aggregate"])
         pd.testing.assert_frame_equal(expected_df, dps_list.to_pandas(), check_freq=False)
         expected_df.columns = pd.MultiIndex.from_tuples([(2,), (3,)], names=["identifier"])
@@ -696,7 +698,7 @@ def test_datapoints_list_names_dup(self) -> None:
         dps_list = DatapointsList([d1, d2])
         expected_df = pd.DataFrame(
             {1: [2, 3, 4.0], 2: [1, None, 3]},
-            index=pd.to_datetime(range(1, 4), unit="ms"),
+            index=pd.to_datetime(range(1, 4), unit="ms").as_unit("ms"),
         )
         expected_df.columns = pd.MultiIndex.from_tuples([(2, "max"), (2, "average")], names=["identifier", "aggregate"])
         pd.testing.assert_frame_equal(expected_df, dps_list.to_pandas(), check_freq=False)
@@ -713,7 +715,7 @@ def test_datapoints_list_non_aligned(self) -> None:
 
         expected_df = pd.DataFrame(
             {1: [1, 2, 3, None, None], 2: [None, None, 3, 4, 5]},
-            index=pd.to_datetime(range(1, 6), unit="ms"),
+            index=pd.to_datetime(range(1, 6), unit="ms").as_unit("ms"),
         )
         expected_df.columns = pd.MultiIndex.from_tuples([(1,), (2,)], names=["identifier"])
         pd.testing.assert_frame_equal(expected_df, dps_list.to_pandas(), check_freq=False)
diff --git a/tests/tests_unit/test_api/test_raw.py b/tests/tests_unit/test_api/test_raw.py
index 1ec7d3e513..2c8ffd373e 100644
--- a/tests/tests_unit/test_api/test_raw.py
+++ b/tests/tests_unit/test_api/test_raw.py
@@ -652,7 +652,8 @@ def test_dbs_to_pandas(self) -> None:
             pd.DataFrame({"name": ["kar", "car", "dar"]}), db_list.to_pandas().drop("created_time", axis=1)
         )
         pd.testing.assert_frame_equal(
-            pd.DataFrame({"value": ["kar"]}, index=["name"]), db_list[0].to_pandas().drop("created_time")
+            pd.DataFrame({"value": ["kar"]}, index=["name"], dtype=object),
+            db_list[0].to_pandas().drop("created_time"),
         )
 
     def test_tables_to_pandas(self) -> None:
@@ -666,7 +667,8 @@ def test_tables_to_pandas(self) -> None:
             pd.DataFrame({"name": ["kar", "car", "dar"]}), table_list.to_pandas().drop("created_time", axis=1)
         )
         pd.testing.assert_frame_equal(
-            pd.DataFrame({"value": ["kar"]}, index=["name"]), table_list[0].to_pandas().drop("created_time")
+            pd.DataFrame({"value": ["kar"]}, index=["name"], dtype=object),
+            table_list[0].to_pandas().drop("created_time"),
         )
 
     def test_rows_to_pandas(self) -> None:
diff --git a/tests/tests_unit/test_api/test_sequences.py b/tests/tests_unit/test_api/test_sequences.py
index e9a5c569d4..7270de477c 100644
--- a/tests/tests_unit/test_api/test_sequences.py
+++ b/tests/tests_unit/test_api/test_sequences.py
@@ -740,8 +740,8 @@ def test_sequences_to_pandas(self, cognite_client: CogniteClient, mock_seq_respo
         df = seq.to_pandas(expand_metadata=True, metadata_prefix="")
         assert isinstance(df, pd.DataFrame)
         assert "metadata" not in df.columns
-        assert "string" == df.loc["description"][0]
-        assert "metadata-value" == df.loc["metadata-key"][0]
+        assert "string" == df.loc["description"].iloc[0]
+        assert "metadata-value" == df.loc["metadata-key"].iloc[0]
 
     def test_insert_dataframe_extids(self, cognite_client: CogniteClient, mock_post_sequence_data: HTTPXMock) -> None:
         import pandas as pd
diff --git a/tests/tests_unit/test_api/test_time_series.py b/tests/tests_unit/test_api/test_time_series.py
index 94fc2438b6..c8c25f1b69 100644
--- a/tests/tests_unit/test_api/test_time_series.py
+++ b/tests/tests_unit/test_api/test_time_series.py
@@ -259,5 +259,5 @@ def test_time_series_to_pandas(self, cognite_client: CogniteClient, mock_ts_resp
         df = ts.to_pandas(expand_metadata=True, metadata_prefix="", camel_case=True)
         assert isinstance(df, pd.DataFrame)
         assert "metadata" not in df.columns
-        assert [0] == df.loc["securityCategories"][0]
-        assert "metadata-value" == df.loc["metadata-key"][0]
+        assert [0] == df.loc["securityCategories"].iloc[0]
+        assert "metadata-value" == df.loc["metadata-key"].iloc[0]
diff --git a/tests/tests_unit/test_base.py b/tests/tests_unit/test_base.py
index 918931d4a3..5679b7caed 100644
--- a/tests/tests_unit/test_base.py
+++ b/tests/tests_unit/test_base.py
@@ -501,7 +501,7 @@ def test_to_pandas(self) -> None:
         expected_df = pd.DataFrame(
             {
                 "varA": [1, 2],
-                "lastUpdatedTime": [pd.Timestamp(60, unit="ms"), pd.NaT],
+                "lastUpdatedTime": pd.array([pd.Timestamp(60, unit="ms"), pd.NaT], dtype="datetime64[ms]"),
                 "varB": [None, 3],
             },
         )
diff --git a/tests/tests_unit/test_data_classes/test_data_models/test_typed_instances.py b/tests/tests_unit/test_data_classes/test_data_models/test_typed_instances.py
index 4c61ca1e5d..634e0e36d2 100644
--- a/tests/tests_unit/test_data_classes/test_data_models/test_typed_instances.py
+++ b/tests/tests_unit/test_data_classes/test_data_models/test_typed_instances.py
@@ -305,8 +305,8 @@ def test_to_pandas_list(self, person_read: PersonRead) -> None:
                     "space": ["sp_my_fixed_space"],
                     "external_id": ["my_external_id"],
                     "version": [1],
-                    "last_updated_time": [pd.Timestamp("1970-01-01 00:00:00")],
-                    "created_time": [pd.Timestamp("1970-01-01 00:00:00")],
+                    "last_updated_time": pd.array([pd.Timestamp(0, unit="ms")], dtype="datetime64[ms]"),
+                    "created_time": pd.array([pd.Timestamp(0, unit="ms")], dtype="datetime64[ms]"),
                     "instance_type": ["node"],
                     "type": [{"space": "sp_model_space", "external_id": "person"}],
                     "name": ["John Doe"],
diff --git a/tests/tests_unit/test_data_classes/test_datapoints.py b/tests/tests_unit/test_data_classes/test_datapoints.py
index c8de7f6419..547a174272 100644
--- a/tests/tests_unit/test_data_classes/test_datapoints.py
+++ b/tests/tests_unit/test_data_classes/test_datapoints.py
@@ -111,7 +111,7 @@ def test_identifier_priority(self, dps_lst_cls: type[CogniteResourceList]) -> No
 
         exp_df = pd.DataFrame(
             {1: 2.0, 2: 4.0, 3: 6.0},
-            index=np.array([1234 * 1_000_000], dtype="datetime64[ns]"),
+            index=np.array([1234], dtype="datetime64[ms]"),
         )
         exp_df.columns = pd.MultiIndex.from_tuples(
             [(123,), ("foo",), (NodeId(space="s", external_id="x"),)], names=["identifier"]
diff --git a/tests/tests_unit/test_data_classes/test_groups.py b/tests/tests_unit/test_data_classes/test_groups.py
index 7ff3c43ce8..9e4dbcca8e 100644
--- a/tests/tests_unit/test_data_classes/test_groups.py
+++ b/tests/tests_unit/test_data_classes/test_groups.py
@@ -104,7 +104,7 @@ class TestGroupsList:
     @pytest.mark.parametrize(
         "convert_timestamps, expected",
         (
-            (True, dict(data=[None, "1970-01-02 10:17:36.789", None], dtype="datetime64[ns]", name="deleted_time")),
+            (True, dict(data=[None, "1970-01-02 10:17:36.789", None], dtype="datetime64[ms]", name="deleted_time")),
             (False, dict(data=[-1, 123456789, None], dtype="Int64", name="deleted_time")),
         ),
     )