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Merged
twoertwein merged 2 commits into from
Apr 6, 2023
Merged

first part of v2.0 changes #632

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933ec41
first part of v2.0 changes
Dr-Irv Apr 5, 2023
bd3418d
combine np.int types. Add tests
Dr-Irv Apr 6, 2023
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3 changes: 2 additions & 1 deletion pandas-stubs/core/arrays/sparse/accessor.pyi
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Original file line numberDiff line numberDiff line change
@@ -1,11 +1,12 @@
from pandas import Series
from pandas.core.accessor import PandasDelegate

class BaseAccessor:
def __init__(self, data=...) -> None: ...

class SparseAccessor(BaseAccessor, PandasDelegate):
@classmethod
def from_coo(cls, A, dense_index: bool = ...): ...
def from_coo(cls, A, dense_index: bool = ...) -> Series: ...
def to_coo(self, row_levels=..., column_levels=..., sort_labels: bool = ...): ...
def to_dense(self): ...

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7 changes: 5 additions & 2 deletions pandas-stubs/core/indexes/base.pyi
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Original file line numberDiff line numberDiff line change
Expand Up@@ -73,7 +73,7 @@ class Index(IndexOpsMixin, PandasObject):
def __new__(
cls,
data: Iterable,
dtype: Literal["int"] | type_t[int] | type_t[np.int_],
dtype: Literal["int"] | type_t[int] | type_t[np.integer],
copy: bool = ...,
name=...,
tupleize_cols: bool = ...,
Expand All@@ -83,7 +83,10 @@ class Index(IndexOpsMixin, PandasObject):
def __new__(
cls,
data: Iterable,
dtype: Literal["float"] | type_t[float] | type_t[np.float_],
dtype: Literal["float"]
| type_t[float]
| type_t[np.float32]
| type_t[np.float64],
copy: bool = ...,
name=...,
tupleize_cols: bool = ...,
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79 changes: 79 additions & 0 deletions tests/test_indexes.py
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Original file line numberDiff line numberDiff line change
Expand Up@@ -25,11 +25,13 @@

if TYPE_CHECKING:
from pandas.core.indexes.base import (
_ComplexIndexType,
_FloatIndexType,
_IntIndexType,
)
else:
from pandas.core.indexes.base import (
Index as _ComplexIndexType,
Index as _FloatIndexType,
Index as _IntIndexType,
)
Expand DownExpand Up@@ -855,3 +857,80 @@ def test_multiindex_dtypes():
# GH-597
mi = pd.MultiIndex.from_tuples([(1, 2.0), (2, 3.0)], names=["foo", "bar"])
check(assert_type(mi.dtypes, "pd.Series[Dtype]"), pd.Series)


def test_index_constructors():
# See if we can pick up the different index types in 2.0
# Eventually should be using a generic index
ilist = [1, 2, 3]
check(
assert_type(pd.Index(ilist, dtype="int"), _IntIndexType), pd.Index, np.integer
)
check(assert_type(pd.Index(ilist, dtype=int), _IntIndexType), pd.Index, np.integer)
check(assert_type(pd.Index(ilist, dtype=np.int8), _IntIndexType), pd.Index, np.int8)
check(
assert_type(pd.Index(ilist, dtype=np.int16), _IntIndexType), pd.Index, np.int16
)
check(
assert_type(pd.Index(ilist, dtype=np.int32), _IntIndexType), pd.Index, np.int32
)
check(
assert_type(pd.Index(ilist, dtype=np.int64), _IntIndexType), pd.Index, np.int64
)
check(
assert_type(pd.Index(ilist, dtype=np.uint8), _IntIndexType), pd.Index, np.uint8
)
check(
assert_type(pd.Index(ilist, dtype=np.uint16), _IntIndexType),
pd.Index,
np.uint16,
)
check(
assert_type(pd.Index(ilist, dtype=np.uint32), _IntIndexType),
pd.Index,
np.uint32,
)
check(
assert_type(pd.Index(ilist, dtype=np.uint64), _IntIndexType),
pd.Index,
np.uint64,
)

flist = [1.1, 2.2, 3.3]
check(
assert_type(pd.Index(flist, dtype="float"), _FloatIndexType),
pd.Index,
np.float64,
)
check(
assert_type(pd.Index(flist, dtype=float), _FloatIndexType), pd.Index, np.float64
)
check(
assert_type(pd.Index(flist, dtype=np.float32), _FloatIndexType),
pd.Index,
np.float32,
)
check(
assert_type(pd.Index(flist, dtype=np.float64), _FloatIndexType),
pd.Index,
np.float64,
)

clist = [1 + 1j, 2 + 2j, 3 + 4j]
check(
assert_type(pd.Index(clist, dtype="complex"), _ComplexIndexType),
pd.Index,
complex,
)
check(
assert_type(pd.Index(clist, dtype=complex), _ComplexIndexType),
pd.Index,
complex,
)

if TYPE_CHECKING_INVALID_USAGE:
# This should be detected by the type checker, but for it to work,
# we need to change the last overload of __new__ in core/indexes/base.pyi
# to specify all the possible dtype options. For right now, we will leave the
# test here as a reminder that we would like this to be seen as incorrect usage.
pd.Index(flist, dtype=np.float16)
32 changes: 16 additions & 16 deletions tests/test_timefuncs.py
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Expand Up@@ -452,29 +452,29 @@ def test_datetimeindex_accessors() -> None:
check(assert_type(i0.date, np.ndarray), np.ndarray, dt.date)
check(assert_type(i0.time, np.ndarray), np.ndarray, dt.time)
check(assert_type(i0.timetz, np.ndarray), np.ndarray, dt.time)
check(assert_type(i0.year, "_IntIndexType"), _IntIndexType, np.integer)
check(assert_type(i0.month, "_IntIndexType"), _IntIndexType, np.integer)
check(assert_type(i0.day, "_IntIndexType"), _IntIndexType, np.integer)
check(assert_type(i0.hour, "_IntIndexType"), _IntIndexType, np.integer)
check(assert_type(i0.minute, "_IntIndexType"), _IntIndexType, np.integer)
check(assert_type(i0.second, "_IntIndexType"), _IntIndexType, np.integer)
check(assert_type(i0.microsecond, "_IntIndexType"), _IntIndexType, np.integer)
check(assert_type(i0.nanosecond, "_IntIndexType"), _IntIndexType, np.integer)
check(assert_type(i0.dayofweek, "_IntIndexType"), _IntIndexType, np.integer)
check(assert_type(i0.day_of_week, "_IntIndexType"), _IntIndexType, np.integer)
check(assert_type(i0.weekday, "_IntIndexType"), _IntIndexType, np.integer)
check(assert_type(i0.dayofyear, "_IntIndexType"), _IntIndexType, np.integer)
check(assert_type(i0.day_of_year, "_IntIndexType"), _IntIndexType, np.integer)
check(assert_type(i0.quarter, "_IntIndexType"), _IntIndexType, np.integer)
check(assert_type(i0.year, "_IntIndexType"), _IntIndexType, np.int32)
check(assert_type(i0.month, "_IntIndexType"), _IntIndexType, np.int32)
check(assert_type(i0.day, "_IntIndexType"), _IntIndexType, np.int32)
check(assert_type(i0.hour, "_IntIndexType"), _IntIndexType, np.int32)
check(assert_type(i0.minute, "_IntIndexType"), _IntIndexType, np.int32)
check(assert_type(i0.second, "_IntIndexType"), _IntIndexType, np.int32)
check(assert_type(i0.microsecond, "_IntIndexType"), _IntIndexType, np.int32)
check(assert_type(i0.nanosecond, "_IntIndexType"), _IntIndexType, np.int32)
check(assert_type(i0.dayofweek, "_IntIndexType"), _IntIndexType, np.int32)
check(assert_type(i0.day_of_week, "_IntIndexType"), _IntIndexType, np.int32)
check(assert_type(i0.weekday, "_IntIndexType"), _IntIndexType, np.int32)
check(assert_type(i0.dayofyear, "_IntIndexType"), _IntIndexType, np.int32)
check(assert_type(i0.day_of_year, "_IntIndexType"), _IntIndexType, np.int32)
check(assert_type(i0.quarter, "_IntIndexType"), _IntIndexType, np.int32)
check(assert_type(i0.is_month_start, npt.NDArray[np.bool_]), np.ndarray, np.bool_)
check(assert_type(i0.is_month_end, npt.NDArray[np.bool_]), np.ndarray, np.bool_)
check(assert_type(i0.is_quarter_start, npt.NDArray[np.bool_]), np.ndarray, np.bool_)
check(assert_type(i0.is_quarter_end, npt.NDArray[np.bool_]), np.ndarray, np.bool_)
check(assert_type(i0.is_year_start, npt.NDArray[np.bool_]), np.ndarray, np.bool_)
check(assert_type(i0.is_year_end, npt.NDArray[np.bool_]), np.ndarray, np.bool_)
check(assert_type(i0.is_leap_year, npt.NDArray[np.bool_]), np.ndarray, np.bool_)
check(assert_type(i0.daysinmonth, "_IntIndexType"), _IntIndexType, np.integer)
check(assert_type(i0.days_in_month, "_IntIndexType"), _IntIndexType, np.integer)
check(assert_type(i0.daysinmonth, "_IntIndexType"), _IntIndexType, np.int32)
check(assert_type(i0.days_in_month, "_IntIndexType"), _IntIndexType, np.int32)
check(assert_type(i0.tz, Optional[dt.tzinfo]), type(None))
check(assert_type(i0.freq, Optional[BaseOffset]), BaseOffset)
check(assert_type(i0.isocalendar(), pd.DataFrame), pd.DataFrame)
Expand Down