DEPR: Remove int64 uint64 float64 index part 1 (#49560)

* DEPR: don't make Index instantiate Int64/Uint64/Flaot64Index

* fix precommit

* fix various issues

* np.int_ -> np.intp

* update

* float16 & groupby.nlargest/nsmallest tests

* small fix

* tests/window/test_groupby.py types

* Revert "np.int_ -> np.intp"

This reverts commit d759966.

* fixes for comments

* fix intp->int_ error

* fix interval

* fix groupby value_counts

* fix comments

* fix more comments

* fix stuff

* fix

Co-authored-by: Terji Petersen <[email protected]>
Co-authored-by: Terji Petersen <[email protected]>

Author: 3 people

pandas/core/arrays/datetimes.py

@@ -1384,7 +1384,7 @@ def isocalendar(self) -> DataFrame:
         0    2000
         1    2001
         2    2002
-        dtype: int64
+        dtype: int32
         """,
     )
     month = _field_accessor(
@@ -1407,7 +1407,7 @@ def isocalendar(self) -> DataFrame:
         0    1
         1    2
         2    3
-        dtype: int64
+        dtype: int32
         """,
     )
     day = _field_accessor(
@@ -1430,7 +1430,7 @@ def isocalendar(self) -> DataFrame:
         0    1
         1    2
         2    3
-        dtype: int64
+        dtype: int32
         """,
     )
     hour = _field_accessor(
@@ -1453,7 +1453,7 @@ def isocalendar(self) -> DataFrame:
         0    0
         1    1
         2    2
-        dtype: int64
+        dtype: int32
         """,
     )
     minute = _field_accessor(
@@ -1476,7 +1476,7 @@ def isocalendar(self) -> DataFrame:
         0    0
         1    1
         2    2
-        dtype: int64
+        dtype: int32
         """,
     )
     second = _field_accessor(
@@ -1499,7 +1499,7 @@ def isocalendar(self) -> DataFrame:
         0    0
         1    1
         2    2
-        dtype: int64
+        dtype: int32
         """,
     )
     microsecond = _field_accessor(
@@ -1522,7 +1522,7 @@ def isocalendar(self) -> DataFrame:
         0       0
         1       1
         2       2
-        dtype: int64
+        dtype: int32
         """,
     )
     nanosecond = _field_accessor(
@@ -1545,7 +1545,7 @@ def isocalendar(self) -> DataFrame:
         0       0
         1       1
         2       2
-        dtype: int64
+        dtype: int32
         """,
     )
     _dayofweek_doc = """
@@ -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

pandas/core/arrays/interval.py

@@ -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,
@@ -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

pandas/core/arrays/timedeltas.py

@@ -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)

pandas/core/generic.py

@@ -6096,7 +6096,7 @@ 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:
 

pandas/core/indexes/accessors.py

@@ -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
@@ -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
@@ -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.
@@ -303,7 +303,7 @@ class TimedeltaProperties(Properties):
     0    1
     1    2
     2    3
-    dtype: int64
+    dtype: int32
     """
 
     def to_pytimedelta(self) -> np.ndarray: