A PyQT GUI application for converting InfoLease report outputs into Excel files. Handles parsing and summarizing. Learns where files are meant to be store and compiles monthly and yearly summaries.
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InfoLeaseExtract/venv/Lib/site-packages/pandas/tests/series/methods/test_values.py

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import numpy as np
import pytest
from pandas import (
IntervalIndex,
Series,
period_range,
)
import pandas._testing as tm
class TestValues:
@pytest.mark.parametrize(
"data",
[
period_range("2000", periods=4),
IntervalIndex.from_breaks([1, 2, 3, 4]),
],
)
def test_values_object_extension_dtypes(self, data):
# https://github.com/pandas-dev/pandas/issues/23995
result = Series(data).values
expected = np.array(data.astype(object))
tm.assert_numpy_array_equal(result, expected)
def test_values(self, datetime_series):
tm.assert_almost_equal(
datetime_series.values, datetime_series, check_dtype=False
)