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test_dtypes.py
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from __future__ import annotations
import datetime as dt
from datetime import (
timedelta,
timezone,
)
from typing import (
Literal,
Optional,
Union,
)
import numpy as np
import pandas as pd
from pandas.api.types import is_any_real_numeric_dtype
from pandas.core.arrays import (
BooleanArray,
IntegerArray,
)
import pyarrow as pa
from typing_extensions import assert_type
from pandas._libs import NaTType
from pandas._libs.missing import NAType
from pandas._typing import Scalar
from tests import (
TYPE_CHECKING_INVALID_USAGE,
check,
)
from pandas.tseries.offsets import (
BusinessDay,
CustomBusinessDay,
Day,
)
def test_datetimetz_dtype() -> None:
dttz_dt = pd.DatetimeTZDtype(unit="ns", tz="UTC")
check(assert_type(dttz_dt, pd.DatetimeTZDtype), pd.DatetimeTZDtype)
check(
assert_type(
pd.DatetimeTZDtype(unit="ns", tz=timezone(timedelta(hours=1))),
pd.DatetimeTZDtype,
),
pd.DatetimeTZDtype,
)
check(assert_type(dttz_dt.unit, Literal["ns"]), str)
check(assert_type(dttz_dt.tz, dt.tzinfo), dt.tzinfo)
check(assert_type(dttz_dt.name, str), str)
check(assert_type(dttz_dt.na_value, NaTType), NaTType)
def test_period_dtype() -> None:
p_dt = pd.PeriodDtype(freq="D")
check(assert_type(p_dt, pd.PeriodDtype), pd.PeriodDtype)
check(assert_type(pd.PeriodDtype(freq=Day()), pd.PeriodDtype), pd.PeriodDtype)
check(
assert_type(pd.PeriodDtype(freq=BusinessDay()), pd.PeriodDtype), pd.PeriodDtype
)
if TYPE_CHECKING_INVALID_USAGE:
pd.PeriodDtype(freq=CustomBusinessDay()) # TODO(raises on 2.1)
check(
assert_type(p_dt.freq, pd.tseries.offsets.BaseOffset),
pd.tseries.offsets.DateOffset,
)
check(assert_type(p_dt.na_value, NaTType), NaTType)
check(assert_type(p_dt.name, str), str)
def test_interval_dtype() -> None:
i_dt = pd.IntervalDtype("int64")
check(assert_type(i_dt, pd.IntervalDtype), pd.IntervalDtype)
check(assert_type(pd.IntervalDtype(np.int64), pd.IntervalDtype), pd.IntervalDtype)
check(assert_type(pd.IntervalDtype(float), pd.IntervalDtype), pd.IntervalDtype)
check(assert_type(pd.IntervalDtype(complex), pd.IntervalDtype), pd.IntervalDtype)
check(
assert_type(pd.IntervalDtype(np.timedelta64), pd.IntervalDtype),
pd.IntervalDtype,
)
check(
assert_type(pd.IntervalDtype(np.datetime64), pd.IntervalDtype), pd.IntervalDtype
)
def test_int64_dtype() -> None:
check(assert_type(pd.Int8Dtype(), pd.Int8Dtype), pd.Int8Dtype)
check(assert_type(pd.Int16Dtype(), pd.Int16Dtype), pd.Int16Dtype)
check(assert_type(pd.Int32Dtype(), pd.Int32Dtype), pd.Int32Dtype)
check(assert_type(pd.Int64Dtype(), pd.Int64Dtype), pd.Int64Dtype)
check(assert_type(pd.UInt8Dtype(), pd.UInt8Dtype), pd.UInt8Dtype)
check(assert_type(pd.UInt16Dtype(), pd.UInt16Dtype), pd.UInt16Dtype)
check(assert_type(pd.UInt32Dtype(), pd.UInt32Dtype), pd.UInt32Dtype)
check(assert_type(pd.UInt64Dtype(), pd.UInt64Dtype), pd.UInt64Dtype)
i64dt = pd.Int64Dtype()
check(assert_type(i64dt.itemsize, int), int)
check(assert_type(i64dt.na_value, NAType), NAType)
check(assert_type(i64dt.construct_array_type(), type[IntegerArray]), type)
def test_categorical_dtype() -> None:
cdt = pd.CategoricalDtype(categories=["a", "b", "c"], ordered=True)
check(assert_type(cdt, pd.CategoricalDtype), pd.CategoricalDtype)
check(
assert_type(pd.CategoricalDtype(categories=[1, 2, 3]), pd.CategoricalDtype),
pd.CategoricalDtype,
)
check(assert_type(cdt.categories, pd.Index), pd.Index)
assert check(assert_type(cdt.ordered, Optional[bool]), bool)
def test_sparse_dtype() -> None:
s_dt = pd.SparseDtype("i4")
check(assert_type(s_dt, pd.SparseDtype), pd.SparseDtype)
check(assert_type(pd.SparseDtype(str), pd.SparseDtype), pd.SparseDtype)
check(assert_type(pd.SparseDtype(complex), pd.SparseDtype), pd.SparseDtype)
check(assert_type(pd.SparseDtype(bool), pd.SparseDtype), pd.SparseDtype)
check(assert_type(pd.SparseDtype(np.int64), pd.SparseDtype), pd.SparseDtype)
check(assert_type(pd.SparseDtype(str), pd.SparseDtype), pd.SparseDtype)
check(assert_type(pd.SparseDtype(float), pd.SparseDtype), pd.SparseDtype)
check(assert_type(pd.SparseDtype(np.datetime64), pd.SparseDtype), pd.SparseDtype)
check(assert_type(pd.SparseDtype(np.timedelta64), pd.SparseDtype), pd.SparseDtype)
check(assert_type(pd.SparseDtype("datetime64"), pd.SparseDtype), pd.SparseDtype)
check(assert_type(pd.SparseDtype(), pd.SparseDtype), pd.SparseDtype)
check(assert_type(s_dt.fill_value, Union[Scalar, None]), int)
def test_string_dtype() -> None:
s_dt = pd.StringDtype("pyarrow")
check(assert_type(pd.StringDtype(), pd.StringDtype), pd.StringDtype)
check(assert_type(pd.StringDtype("pyarrow"), pd.StringDtype), pd.StringDtype)
check(assert_type(pd.StringDtype("python"), pd.StringDtype), pd.StringDtype)
check(assert_type(s_dt.na_value, NAType), NAType)
def test_boolean_dtype() -> None:
b_dt = pd.BooleanDtype()
check(assert_type(b_dt, pd.BooleanDtype), pd.BooleanDtype)
check(assert_type(b_dt.na_value, NAType), NAType)
check(assert_type(b_dt.construct_array_type(), type[BooleanArray]), type)
def test_arrow_dtype() -> None:
a_dt = pd.ArrowDtype(pa.int64())
check(assert_type(a_dt, pd.ArrowDtype), pd.ArrowDtype)
check(assert_type(a_dt.pyarrow_dtype, pa.DataType), pa.DataType)
def test_is_any_real_numeric_dtype() -> None:
check(assert_type(is_any_real_numeric_dtype(np.array([1, 2])), bool), bool)
check(assert_type(is_any_real_numeric_dtype(int), bool), bool)
check(assert_type(is_any_real_numeric_dtype(float), bool), bool)