From 74b13fa8996f796cc487ebb12ef97e826386dd4d Mon Sep 17 00:00:00 2001
From: Terji Petersen <terji78@gmail.com>
Date: Wed, 25 Jan 2023 20:51:44 +0000
Subject: [PATCH] DEPR: move NumericIndex._convert_tolerance to Index (#50932)

* DEPR: move NumericIndex._convert_tolerance to Index

* fix error message
---
 pandas/core/indexes/base.py    | 11 +++++++++++
 pandas/core/indexes/numeric.py | 16 ----------------
 2 files changed, 11 insertions(+), 16 deletions(-)

diff --git a/pandas/core/indexes/base.py b/pandas/core/indexes/base.py
index 2f5b1ec6b6ffd..50f0597772cd9 100644
--- a/pandas/core/indexes/base.py
+++ b/pandas/core/indexes/base.py
@@ -3811,6 +3811,17 @@ def _convert_tolerance(self, tolerance, target: np.ndarray | Index) -> np.ndarra
         tolerance = np.asarray(tolerance)
         if target.size != tolerance.size and tolerance.size > 1:
             raise ValueError("list-like tolerance size must match target index size")
+        elif is_numeric_dtype(self) and not np.issubdtype(tolerance.dtype, np.number):
+            if tolerance.ndim > 0:
+                raise ValueError(
+                    f"tolerance argument for {type(self).__name__} with dtype "
+                    f"{self.dtype} must contain numeric elements if it is list type"
+                )
+
+            raise ValueError(
+                f"tolerance argument for {type(self).__name__} with dtype {self.dtype} "
+                f"must be numeric if it is a scalar: {repr(tolerance)}"
+            )
         return tolerance
 
     @final
diff --git a/pandas/core/indexes/numeric.py b/pandas/core/indexes/numeric.py
index 6834fdcdf1f99..4d5e527728567 100644
--- a/pandas/core/indexes/numeric.py
+++ b/pandas/core/indexes/numeric.py
@@ -190,22 +190,6 @@ def _maybe_cast_slice_bound(self, label, side: str):
 
     # ----------------------------------------------------------------
 
-    def _convert_tolerance(self, tolerance, target):
-        tolerance = super()._convert_tolerance(tolerance, target)
-
-        if not np.issubdtype(tolerance.dtype, np.number):
-            if tolerance.ndim > 0:
-                raise ValueError(
-                    f"tolerance argument for {type(self).__name__} must contain "
-                    "numeric elements if it is list type"
-                )
-
-            raise ValueError(
-                f"tolerance argument for {type(self).__name__} must be numeric "
-                f"if it is a scalar: {repr(tolerance)}"
-            )
-        return tolerance
-
     @classmethod
     def _assert_safe_casting(cls, data: np.ndarray, subarr: np.ndarray) -> None:
         """