From 420a33606799baf7e10eee0308dc87ea73062c6a Mon Sep 17 00:00:00 2001
From: Jordan Murphy <35613487+jordan-d-murphy@users.noreply.github.com>
Date: Wed, 31 Jan 2024 21:11:18 -0700
Subject: [PATCH] removed notes section that was not applicable

---
 pandas/core/groupby/generic.py | 12 ------------
 1 file changed, 12 deletions(-)

diff --git a/pandas/core/groupby/generic.py b/pandas/core/groupby/generic.py
index 034b9f1096f90..d37acd8312483 100644
--- a/pandas/core/groupby/generic.py
+++ b/pandas/core/groupby/generic.py
@@ -1074,12 +1074,6 @@ def idxmin(self, skipna: bool = True) -> Series:
         Series.idxmax : Return index *label* of the first occurrence
             of maximum of values.
 
-        Notes
-        -----
-        This method is the Series version of ``ndarray.argmin``. This method
-        returns the label of the minimum, while ``ndarray.argmin`` returns
-        the position. To get the position, use ``series.values.argmin()``.
-
         Examples
         --------
         >>> ser = pd.Series([1, 2, 3, 4], index=pd.DatetimeIndex(
@@ -1130,12 +1124,6 @@ def idxmax(self, skipna: bool = True) -> Series:
         Series.idxmin : Return index *label* of the first occurrence
             of minimum of values.
 
-        Notes
-        -----
-        This method is the Series version of ``ndarray.argmax``. This method
-        returns the label of the maximum, while ``ndarray.argmax`` returns
-        the position. To get the position, use ``series.values.argmax()``.
-
         Examples
         --------
         >>> ser = pd.Series([1, 2, 3, 4], index=pd.DatetimeIndex(