update pandas tests to work with v3

Author: haakonvt

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:

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

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]

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.Timestamp(0, unit="ms")],
+                    "created_time": [pd.Timestamp(0, unit="ms")],
                     "instance_type": ["node"],
                     "type": [{"space": "sp_model_space", "external_id": "person"}],
                     "name": ["John Doe"],

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"]

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")),
         ),
     )