projektAI/venv/Lib/site-packages/pandas/tests/extension/test_period.py
2021-06-06 22:13:05 +02:00

175 lines
4.5 KiB
Python

import numpy as np
import pytest
from pandas._libs import iNaT
from pandas.core.dtypes.dtypes import PeriodDtype
import pandas as pd
from pandas.core.arrays import PeriodArray
from pandas.tests.extension import base
@pytest.fixture
def dtype():
return PeriodDtype(freq="D")
@pytest.fixture
def data(dtype):
return PeriodArray(np.arange(1970, 2070), freq=dtype.freq)
@pytest.fixture
def data_for_twos(dtype):
return PeriodArray(np.ones(100) * 2, freq=dtype.freq)
@pytest.fixture
def data_for_sorting(dtype):
return PeriodArray([2018, 2019, 2017], freq=dtype.freq)
@pytest.fixture
def data_missing(dtype):
return PeriodArray([iNaT, 2017], freq=dtype.freq)
@pytest.fixture
def data_missing_for_sorting(dtype):
return PeriodArray([2018, iNaT, 2017], freq=dtype.freq)
@pytest.fixture
def data_for_grouping(dtype):
B = 2018
NA = iNaT
A = 2017
C = 2019
return PeriodArray([B, B, NA, NA, A, A, B, C], freq=dtype.freq)
@pytest.fixture
def na_value():
return pd.NaT
class BasePeriodTests:
pass
class TestPeriodDtype(BasePeriodTests, base.BaseDtypeTests):
pass
class TestConstructors(BasePeriodTests, base.BaseConstructorsTests):
pass
class TestGetitem(BasePeriodTests, base.BaseGetitemTests):
pass
class TestMethods(BasePeriodTests, base.BaseMethodsTests):
def test_combine_add(self, data_repeated):
# Period + Period is not defined.
pass
class TestInterface(BasePeriodTests, base.BaseInterfaceTests):
pass
class TestArithmeticOps(BasePeriodTests, base.BaseArithmeticOpsTests):
implements = {"__sub__", "__rsub__"}
def test_arith_frame_with_scalar(self, data, all_arithmetic_operators):
# frame & scalar
if all_arithmetic_operators in self.implements:
df = pd.DataFrame({"A": data})
self.check_opname(df, all_arithmetic_operators, data[0], exc=None)
else:
# ... but not the rest.
super().test_arith_frame_with_scalar(data, all_arithmetic_operators)
def test_arith_series_with_scalar(self, data, all_arithmetic_operators):
# we implement substitution...
if all_arithmetic_operators in self.implements:
s = pd.Series(data)
self.check_opname(s, all_arithmetic_operators, s.iloc[0], exc=None)
else:
# ... but not the rest.
super().test_arith_series_with_scalar(data, all_arithmetic_operators)
def test_arith_series_with_array(self, data, all_arithmetic_operators):
if all_arithmetic_operators in self.implements:
s = pd.Series(data)
self.check_opname(s, all_arithmetic_operators, s.iloc[0], exc=None)
else:
# ... but not the rest.
super().test_arith_series_with_scalar(data, all_arithmetic_operators)
def _check_divmod_op(self, s, op, other, exc=NotImplementedError):
super()._check_divmod_op(s, op, other, exc=TypeError)
def test_add_series_with_extension_array(self, data):
# we don't implement + for Period
s = pd.Series(data)
msg = (
r"unsupported operand type\(s\) for \+: "
r"\'PeriodArray\' and \'PeriodArray\'"
)
with pytest.raises(TypeError, match=msg):
s + data
def test_error(self):
pass
@pytest.mark.parametrize("box", [pd.Series, pd.DataFrame])
def test_direct_arith_with_ndframe_returns_not_implemented(self, data, box):
# Override to use __sub__ instead of __add__
other = pd.Series(data)
if box is pd.DataFrame:
other = other.to_frame()
result = data.__sub__(other)
assert result is NotImplemented
class TestCasting(BasePeriodTests, base.BaseCastingTests):
pass
class TestComparisonOps(BasePeriodTests, base.BaseComparisonOpsTests):
def _compare_other(self, s, data, op_name, other):
# the base test is not appropriate for us. We raise on comparison
# with (some) integers, depending on the value.
pass
class TestMissing(BasePeriodTests, base.BaseMissingTests):
pass
class TestReshaping(BasePeriodTests, base.BaseReshapingTests):
pass
class TestSetitem(BasePeriodTests, base.BaseSetitemTests):
pass
class TestGroupby(BasePeriodTests, base.BaseGroupbyTests):
pass
class TestPrinting(BasePeriodTests, base.BasePrintingTests):
pass
class TestParsing(BasePeriodTests, base.BaseParsingTests):
@pytest.mark.parametrize("engine", ["c", "python"])
def test_EA_types(self, engine, data):
super().test_EA_types(engine, data)