53 lines
1.3 KiB
Python
53 lines
1.3 KiB
Python
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import numpy as np
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import pytest
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from pandas import (
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Period,
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PeriodIndex,
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period_range,
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)
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import pandas._testing as tm
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class TestPeriodRepresentation:
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"""
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Wish to match NumPy units
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"""
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@pytest.mark.parametrize(
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"freq, base_date",
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[
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("W-THU", "1970-01-01"),
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("D", "1970-01-01"),
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("B", "1970-01-01"),
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("h", "1970-01-01"),
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("min", "1970-01-01"),
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("s", "1970-01-01"),
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("ms", "1970-01-01"),
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("us", "1970-01-01"),
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("ns", "1970-01-01"),
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("M", "1970-01"),
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("Y", 1970),
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],
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)
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@pytest.mark.filterwarnings(r"ignore:PeriodDtype\[B\] is deprecated:FutureWarning")
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@pytest.mark.filterwarnings(
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"ignore:Period with BDay freq is deprecated:FutureWarning"
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)
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def test_freq(self, freq, base_date):
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rng = period_range(start=base_date, periods=10, freq=freq)
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exp = np.arange(10, dtype=np.int64)
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tm.assert_numpy_array_equal(rng.asi8, exp)
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class TestPeriodIndexConversion:
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def test_tolist(self):
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index = period_range(freq="Y", start="1/1/2001", end="12/1/2009")
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rs = index.tolist()
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for x in rs:
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assert isinstance(x, Period)
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recon = PeriodIndex(rs)
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tm.assert_index_equal(index, recon)
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