import numpy as np
import pytest
from pandas._libs.tslibs import IncompatibleFrequency
from pandas import NaT, Period, PeriodIndex, Series, array
import pandas._testing as tm
class TestSearchsorted:
@pytest.mark.parametrize("freq", ["D", "2D"])
def test_searchsorted(self, freq):
pidx = PeriodIndex(
["2014-01-01", "2014-01-02", "2014-01-03", "2014-01-04", "2014-01-05"],
freq=freq,
)
p1 = Period("2014-01-01", freq=freq)
assert pidx.searchsorted(p1) == 0
p2 = Period("2014-01-04", freq=freq)
assert pidx.searchsorted(p2) == 3
assert pidx.searchsorted(NaT) == 0
msg = "Input has different freq=H from PeriodArray"
with pytest.raises(IncompatibleFrequency, match=msg):
pidx.searchsorted(Period("2014-01-01", freq="H"))
msg = "Input has different freq=5D from PeriodArray"
with pytest.raises(IncompatibleFrequency, match=msg):
pidx.searchsorted(Period("2014-01-01", freq="5D"))
@pytest.mark.parametrize("klass", [list, np.array, array, Series])
def test_searchsorted_different_argument_classes(self, klass):
pidx = PeriodIndex(
["2014-01-01", "2014-01-02", "2014-01-03", "2014-01-04", "2014-01-05"],
freq="D",
)
result = pidx.searchsorted(klass(pidx))
expected = np.arange(len(pidx), dtype=result.dtype)
tm.assert_numpy_array_equal(result, expected)
result = pidx._data.searchsorted(klass(pidx))
tm.assert_numpy_array_equal(result, expected)
def test_searchsorted_invalid(self):
pidx = PeriodIndex(
["2014-01-01", "2014-01-02", "2014-01-03", "2014-01-04", "2014-01-05"],
freq="D",
)
other = np.array([0, 1], dtype=np.int64)
msg = "|".join(
[
"searchsorted requires compatible dtype or scalar",
"Unexpected type for 'value'",
]
)
with pytest.raises(TypeError, match=msg):
pidx.searchsorted(other)
with pytest.raises(TypeError, match=msg):
pidx.searchsorted(other.astype("timedelta64[ns]"))
with pytest.raises(TypeError, match=msg):
pidx.searchsorted(np.timedelta64(4))
with pytest.raises(TypeError, match=msg):
pidx.searchsorted(np.timedelta64("NaT", "ms"))
with pytest.raises(TypeError, match=msg):
pidx.searchsorted(np.datetime64(4, "ns"))
with pytest.raises(TypeError, match=msg):
pidx.searchsorted(np.datetime64("NaT", "ns"))