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