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

Author: Terji Petersen

pandas/core/arrays/datetimes.py

@@ -1379,7 +1379,7 @@ def isocalendar(self) -> DataFrame:
         0    2000
         1    2001
         2    2002
-        dtype: int64
+        dtype: int32
         """,
     )
     month = _field_accessor(
@@ -1402,7 +1402,7 @@ def isocalendar(self) -> DataFrame:
         0    1
         1    2
         2    3
-        dtype: int64
+        dtype: int32
         """,
     )
     day = _field_accessor(
@@ -1425,7 +1425,7 @@ def isocalendar(self) -> DataFrame:
         0    1
         1    2
         2    3
-        dtype: int64
+        dtype: int32
         """,
     )
     hour = _field_accessor(
@@ -1448,7 +1448,7 @@ def isocalendar(self) -> DataFrame:
         0    0
         1    1
         2    2
-        dtype: int64
+        dtype: int32
         """,
     )
     minute = _field_accessor(
@@ -1471,7 +1471,7 @@ def isocalendar(self) -> DataFrame:
         0    0
         1    1
         2    2
-        dtype: int64
+        dtype: int32
         """,
     )
     second = _field_accessor(
@@ -1494,7 +1494,7 @@ def isocalendar(self) -> DataFrame:
         0    0
         1    1
         2    2
-        dtype: int64
+        dtype: int32
         """,
     )
     microsecond = _field_accessor(
@@ -1517,7 +1517,7 @@ def isocalendar(self) -> DataFrame:
         0       0
         1       1
         2       2
-        dtype: int64
+        dtype: int32
         """,
     )
     nanosecond = _field_accessor(
@@ -1540,7 +1540,7 @@ def isocalendar(self) -> DataFrame:
         0       0
         1       1
         2       2
-        dtype: int64
+        dtype: int32
         """,
     )
     _dayofweek_doc = """
@@ -1575,7 +1575,7 @@ 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/timedeltas.py

@@ -797,7 +797,7 @@ 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

@@ -6086,7 +6086,7 @@ 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: