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TST: dt.total_seconds() stores float with appending 0.00000000000001 fix #48218

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Merged
merged 4 commits into from
Aug 25, 2022
Merged

TST: dt.total_seconds() stores float with appending 0.00000000000001 fix #48218

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9edac8c
TST GH34290
ntachukwu Aug 23, 2022
bff99a8
simpler test
ntachukwu Aug 23, 2022
201cbf6
use Timedelta instead of pd.Timedelta
ntachukwu Aug 24, 2022
bccfd27
Merge branch 'main' into test_total_seconds_time_delta
ntachukwu Aug 24, 2022
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29 changes: 28 additions & 1 deletion pandas/tests/arrays/test_timedeltas.py
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Original file line number Diff line number Diff line change
@@ -1,4 +1,7 @@
from datetime import timedelta
from datetime import (
datetime,
timedelta,
)

import numpy as np
import pytest
Expand Down Expand Up @@ -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")]
)
Expand Down