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import numpy as np
import pytest
from pandas._libs.tslibs import iNaT
from pandas._libs.tslibs.period import IncompatibleFrequency
from pandas.core.dtypes.base import _registry as registry
from pandas.core.dtypes.dtypes import PeriodDtype
import pandas as pd
import pandas._testing as tm
from pandas.core.arrays import PeriodArray
# ----------------------------------------------------------------------------
# Dtype
def test_registered():
assert PeriodDtype in registry.dtypes
result = registry.find("Period[D]")
expected = PeriodDtype("D")
assert result == expected
# ----------------------------------------------------------------------------
# period_array
def test_asi8():
result = PeriodArray._from_sequence(["2000", "2001", None], dtype="period[D]").asi8
expected = np.array([10957, 11323, iNaT])
tm.assert_numpy_array_equal(result, expected)
def test_take_raises():
arr = PeriodArray._from_sequence(["2000", "2001"], dtype="period[D]")
with pytest.raises(IncompatibleFrequency, match="freq"):
arr.take([0, -1], allow_fill=True, fill_value=pd.Period("2000", freq="W"))
msg = "value should be a 'Period' or 'NaT'. Got 'str' instead"
with pytest.raises(TypeError, match=msg):
arr.take([0, -1], allow_fill=True, fill_value="foo")
def test_fillna_raises():
arr = PeriodArray._from_sequence(["2000", "2001", "2002"], dtype="period[D]")
with pytest.raises(ValueError, match="Length"):
arr.fillna(arr[:2])
def test_fillna_copies():
arr = PeriodArray._from_sequence(["2000", "2001", "2002"], dtype="period[D]")
result = arr.fillna(pd.Period("2000", "D"))
assert result is not arr
# ----------------------------------------------------------------------------
# setitem
@pytest.mark.parametrize(
"key, value, expected",
[
([0], pd.Period("2000", "D"), [10957, 1, 2]),
([0], None, [iNaT, 1, 2]),
([0], np.nan, [iNaT, 1, 2]),
([0, 1, 2], pd.Period("2000", "D"), [10957] * 3),
(
[0, 1, 2],
[pd.Period("2000", "D"), pd.Period("2001", "D"), pd.Period("2002", "D")],
[10957, 11323, 11688],
),
],
)
def test_setitem(key, value, expected):
arr = PeriodArray(np.arange(3), dtype="period[D]")
expected = PeriodArray(expected, dtype="period[D]")
arr[key] = value
tm.assert_period_array_equal(arr, expected)
def test_setitem_raises_incompatible_freq():
arr = PeriodArray(np.arange(3), dtype="period[D]")
with pytest.raises(IncompatibleFrequency, match="freq"):
arr[0] = pd.Period("2000", freq="Y")
other = PeriodArray._from_sequence(["2000", "2001"], dtype="period[Y]")
with pytest.raises(IncompatibleFrequency, match="freq"):
arr[[0, 1]] = other
def test_setitem_raises_length():
arr = PeriodArray(np.arange(3), dtype="period[D]")
with pytest.raises(ValueError, match="length"):
arr[[0, 1]] = [pd.Period("2000", freq="D")]
def test_setitem_raises_type():
arr = PeriodArray(np.arange(3), dtype="period[D]")
with pytest.raises(TypeError, match="int"):
arr[0] = 1
# ----------------------------------------------------------------------------
# Ops
def test_sub_period():
arr = PeriodArray._from_sequence(["2000", "2001"], dtype="period[D]")
other = pd.Period("2000", freq="M")
with pytest.raises(IncompatibleFrequency, match="freq"):
arr - other
def test_sub_period_overflow():
# GH#47538
dti = pd.date_range("1677-09-22", periods=2, freq="D")
pi = dti.to_period("ns")
per = pd.Period._from_ordinal(10**14, pi.freq)
with pytest.raises(OverflowError, match="Overflow in int64 addition"):
pi - per
with pytest.raises(OverflowError, match="Overflow in int64 addition"):
per - pi
# ----------------------------------------------------------------------------
# Methods
@pytest.mark.parametrize(
"other",
[
pd.Period("2000", freq="h"),
PeriodArray._from_sequence(["2000", "2001", "2000"], dtype="period[h]"),
],
)
def test_where_different_freq_raises(other):
# GH#45768 The PeriodArray method raises, the Series method coerces
ser = pd.Series(
PeriodArray._from_sequence(["2000", "2001", "2002"], dtype="period[D]")
)
cond = np.array([True, False, True])
with pytest.raises(IncompatibleFrequency, match="freq"):
ser.array._where(cond, other)
res = ser.where(cond, other)
expected = ser.astype(object).where(cond, other)
tm.assert_series_equal(res, expected)
# ----------------------------------------------------------------------------
# Printing
def test_repr_small():
arr = PeriodArray._from_sequence(["2000", "2001"], dtype="period[D]")
result = str(arr)
expected = (
"<PeriodArray>\n['2000-01-01', '2001-01-01']\nLength: 2, dtype: period[D]"
)
assert result == expected
def test_repr_large():
arr = PeriodArray._from_sequence(["2000", "2001"] * 500, dtype="period[D]")
result = str(arr)
expected = (
"<PeriodArray>\n"
"['2000-01-01', '2001-01-01', '2000-01-01', '2001-01-01', "
"'2000-01-01',\n"
" '2001-01-01', '2000-01-01', '2001-01-01', '2000-01-01', "
"'2001-01-01',\n"
" ...\n"
" '2000-01-01', '2001-01-01', '2000-01-01', '2001-01-01', "
"'2000-01-01',\n"
" '2001-01-01', '2000-01-01', '2001-01-01', '2000-01-01', "
"'2001-01-01']\n"
"Length: 1000, dtype: period[D]"
)
assert result == expected
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