From c573cb7f20fa544e8ff9f43b14c7b66369e0e67c Mon Sep 17 00:00:00 2001
From: manlattan <mangesh.kashid@ellicium.com>
Date: Fri, 19 Jan 2024 16:51:44 +0530
Subject: [PATCH] BUG: DataFrame.drop_duplicates method fails when a column
 with a list dtype is present #56784

---
 pandas/core/frame.py | 16 ++++++++++++++++
 1 file changed, 16 insertions(+)

diff --git a/pandas/core/frame.py b/pandas/core/frame.py
index e093d551f3ead..40b43183b997e 100644
--- a/pandas/core/frame.py
+++ b/pandas/core/frame.py
@@ -6748,6 +6748,22 @@ def drop_duplicates(
         DataFrame or None
             DataFrame with duplicates removed or None if ``inplace=True``.
 
+        Notes
+        -------
+        To handle mutable objects such as list, convert the list column
+        to a tuple before using it in the subset.
+        
+        >>> df = pd.DataFrame([ 
+        ...     {'number': 1, 'item_ids': [1, 2, 3]},
+        ...     {'number': 1, 'item_ids': [1, 2, 3]},
+        ... ])
+        
+        >>> df['item_ids'] = df['item_ids'].apply(tuple)
+        >>> df.drop_duplicates(inplace=True)
+        >>> df['item_ids'] = df['item_ids'].apply(list)
+           number   item_ids
+        0       1   [1, 2, 3]
+        
         See Also
         --------
         DataFrame.value_counts: Count unique combinations of columns.