DEPR: Specify nodefault for numeric_only default

Author: NumberPiOso

pandas/core/frame.py

@@ -122,7 +122,6 @@
     is_object_dtype,
     is_scalar,
     is_sequence,
-    is_timedelta64_dtype,
     needs_i8_conversion,
     pandas_dtype,
 )
@@ -10559,7 +10558,7 @@ def quantile(
         self,
         q=0.5,
         axis: Axis = 0,
-        numeric_only: bool = True,
+        numeric_only: bool | lib.NoDefault = no_default,
         interpolation: str = "linear",
     ):
         """
@@ -10630,6 +10629,17 @@ def quantile(
         validate_percentile(q)
         axis = self._get_axis_number(axis)
 
+        if numeric_only is no_default:
+            warnings.warn(
+                "In future versions of pandas, numeric_only will be set to "
+                "False by default, and the datetime/timedelta columns will "
+                "be considered in the results. To not consider these columns"
+                "specify numeric_only=True and ignore this warning.",
+                FutureWarning,
+                stacklevel=find_stack_level(),
+            )
+            numeric_only = True
+
         if not is_list_like(q):
             # BlockManager.quantile expects listlike, so we wrap and unwrap here
             res_df = self.quantile(
@@ -10643,19 +10653,6 @@ def quantile(
                     return res.astype(dtype)
             return res
 
-        has_any_datetime_or_timestamp = any(
-            is_datetime64_any_dtype(x) or is_timedelta64_dtype(x) for x in self.dtypes
-        )
-        if numeric_only and has_any_datetime_or_timestamp:
-            warnings.warn(
-                "In future versions of pandas, numeric_only will be set to "
-                "False by default, and the datetime/timedelta columns will "
-                "be considered in the results. To not consider these columns"
-                "specify numeric_only=True and ignore this warning.",
-                FutureWarning,
-                stacklevel=find_stack_level(),
-            )
-
         q = Index(q, dtype=np.float64)
         data = self._get_numeric_data() if numeric_only else self