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DEPR: Remove int64 uint64 float64 index part 1 #49560

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Merged
merged 17 commits into from
Jan 13, 2023
Merged

DEPR: Remove int64 uint64 float64 index part 1 #49560

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1f89573
DEPR: don't make Index instantiate Int64/Uint64/Flaot64Index
Nov 19, 2022
6ffcb1c
fix precommit
Dec 12, 2022
bb591b5
fix various issues
Dec 26, 2022
c8a4cfc
np.int_ -> np.intp
topper-123 Jan 4, 2023
a605da1
update
topper-123 Jan 3, 2023
6606bc0
float16 & groupby.nlargest/nsmallest tests
topper-123 Jan 4, 2023
51c28e4
small fix
topper-123 Jan 4, 2023
4f6e048
tests/window/test_groupby.py types
topper-123 Jan 4, 2023
ed23a01
Revert "np.int_ -> np.intp"
topper-123 Jan 4, 2023
7cebad9
fixes for comments
topper-123 Jan 4, 2023
d48f7bb
fix intp->int_ error
topper-123 Jan 7, 2023
ea22074
fix interval
topper-123 Jan 11, 2023
4c337f6
fix groupby value_counts
topper-123 Jan 11, 2023
2608e9a
fix comments
topper-123 Jan 12, 2023
9d67e9a
fix more comments
topper-123 Jan 12, 2023
65b1f61
fix stuff
topper-123 Jan 12, 2023
5c64113
fix
topper-123 Jan 12, 2023
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18 changes: 9 additions & 9 deletions pandas/core/arrays/datetimes.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1384,7 +1384,7 @@ def isocalendar(self) -> DataFrame:
0 2000
1 2001
2 2002
dtype: int64
dtype: int32
""",
)
month = _field_accessor(
Expand All @@ -1407,7 +1407,7 @@ def isocalendar(self) -> DataFrame:
0 1
1 2
2 3
dtype: int64
dtype: int32
""",
)
day = _field_accessor(
Expand All @@ -1430,7 +1430,7 @@ def isocalendar(self) -> DataFrame:
0 1
1 2
2 3
dtype: int64
dtype: int32
""",
)
hour = _field_accessor(
Expand All @@ -1453,7 +1453,7 @@ def isocalendar(self) -> DataFrame:
0 0
1 1
2 2
dtype: int64
dtype: int32
""",
)
minute = _field_accessor(
Expand All @@ -1476,7 +1476,7 @@ def isocalendar(self) -> DataFrame:
0 0
1 1
2 2
dtype: int64
dtype: int32
""",
)
second = _field_accessor(
Expand All @@ -1499,7 +1499,7 @@ def isocalendar(self) -> DataFrame:
0 0
1 1
2 2
dtype: int64
dtype: int32
""",
)
microsecond = _field_accessor(
Expand All @@ -1522,7 +1522,7 @@ def isocalendar(self) -> DataFrame:
0 0
1 1
2 2
dtype: int64
dtype: int32
""",
)
nanosecond = _field_accessor(
Expand All @@ -1545,7 +1545,7 @@ def isocalendar(self) -> DataFrame:
0 0
1 1
2 2
dtype: int64
dtype: int32
""",
)
_dayofweek_doc = """
Expand Down Expand Up @@ -1580,7 +1580,7 @@ def isocalendar(self) -> DataFrame:
2017-01-06 4
2017-01-07 5
2017-01-08 6
Freq: D, dtype: int64
Freq: D, dtype: int32
"""
day_of_week = _field_accessor("day_of_week", "dow", _dayofweek_doc)
dayofweek = day_of_week
Expand Down
8 changes: 7 additions & 1 deletion pandas/core/arrays/interval.py
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Original file line number Diff line number Diff line change
Expand Up @@ -46,7 +46,10 @@
from pandas.errors import IntCastingNaNError
from pandas.util._decorators import Appender

from pandas.core.dtypes.cast import LossySetitemError
from pandas.core.dtypes.cast import (
LossySetitemError,
maybe_upcast_numeric_to_64bit,
)
from pandas.core.dtypes.common import (
is_categorical_dtype,
is_dtype_equal,
Expand Down Expand Up @@ -304,7 +307,10 @@ def _ensure_simple_new_inputs(
from pandas.core.indexes.base import ensure_index

left = ensure_index(left, copy=copy)
left = maybe_upcast_numeric_to_64bit(left)

right = ensure_index(right, copy=copy)
right = maybe_upcast_numeric_to_64bit(right)

if closed is None and isinstance(dtype, IntervalDtype):
closed = dtype.closed
Expand Down
2 changes: 1 addition & 1 deletion pandas/core/arrays/timedeltas.py
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Original file line number Diff line number Diff line change
Expand Up @@ -771,7 +771,7 @@ def total_seconds(self) -> npt.NDArray[np.float64]:
dtype='timedelta64[ns]', freq=None)

>>> idx.total_seconds()
Float64Index([0.0, 86400.0, 172800.0, 259200.0, 345600.0],
NumericIndex([0.0, 86400.0, 172800.0, 259200.0, 345600.0],
dtype='float64')
"""
pps = periods_per_second(self._creso)
Expand Down
2 changes: 1 addition & 1 deletion pandas/core/generic.py
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Original file line number Diff line number Diff line change
Expand Up @@ -6057,7 +6057,7 @@ def astype(
0 1
1 2
dtype: category
Categories (2, int64): [1, 2]
Categories (2, int32): [1, 2]

Convert to ordered categorical type with custom ordering:

Expand Down
8 changes: 4 additions & 4 deletions pandas/core/indexes/accessors.py
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Original file line number Diff line number Diff line change
Expand Up @@ -161,7 +161,7 @@ class DatetimeProperties(Properties):
0 0
1 1
2 2
dtype: int64
dtype: int32

>>> hours_series = pd.Series(pd.date_range("2000-01-01", periods=3, freq="h"))
>>> hours_series
Expand All @@ -173,7 +173,7 @@ class DatetimeProperties(Properties):
0 0
1 1
2 2
dtype: int64
dtype: int32

>>> quarters_series = pd.Series(pd.date_range("2000-01-01", periods=3, freq="q"))
>>> quarters_series
Expand All @@ -185,7 +185,7 @@ class DatetimeProperties(Properties):
0 1
1 2
2 3
dtype: int64
dtype: int32

Returns a Series indexed like the original Series.
Raises TypeError if the Series does not contain datetimelike values.
Expand Down Expand Up @@ -303,7 +303,7 @@ class TimedeltaProperties(Properties):
0 1
1 2
2 3
dtype: int64
dtype: int32
"""

def to_pytimedelta(self) -> np.ndarray:
Expand Down
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