TST GH34290

Test for dt.total_seconds() stores float with appending 0.00000000000001 fix

Author: ntachukwu

pandas/tests/arrays/test_timedeltas.py

@@ -1,4 +1,7 @@
-from datetime import timedelta
+from datetime import (
+    datetime,
+    timedelta,
+)
 
 import numpy as np
 import pytest
@@ -67,6 +70,30 @@ def test_total_seconds(self, unit, tda):
         expected = tda_nano.total_seconds()
         tm.assert_numpy_array_equal(result, expected)
 
+    def test_series_total_seconds(self):
+        # GH34290
+        expected = float(15)
+        out = pd.Series(
+            [pd.Timestamp("2022-03-16 08:32:26"), pd.Timestamp("2022-03-16 08:32:41")]
+        )
+
+        result = (out - out.iloc[0]).dt.total_seconds()[1]
+        assert result == expected
+
+    def test_dateframe_total_seconds(self):
+        # GH34290
+        expected = float(120)
+        data = {"start": datetime(2020, 1, 1, 12), "end": datetime(2020, 1, 1, 12, 2)}
+        df = pd.DataFrame(data, index=[0])
+
+        # try to parse to pd.to_datetime
+        df["end"] = pd.to_datetime(df["end"])
+        df["start"] = pd.to_datetime(df["start"])
+
+        result = (df["end"] - df["start"]).dt.total_seconds().values[0]
+
+        assert result == expected
+
     @pytest.mark.parametrize(
         "nat", [np.datetime64("NaT", "ns"), np.datetime64("NaT", "us")]
     )