From 948b8edf679e948a9d3efb3c783497f897ee35c9 Mon Sep 17 00:00:00 2001
From: Alok Tiwari <alokusw2@gmail.com>
Date: Wed, 9 Jul 2025 14:01:49 -0500
Subject: [PATCH]  Pandas4 Completed

---
 README.md | 32 ++++++++++++++++++++++++++++++++
 1 file changed, 32 insertions(+)

diff --git a/README.md b/README.md
index da02326..92ddc41 100644
--- a/README.md
+++ b/README.md
@@ -2,6 +2,38 @@
 
 1 Problem 1 : Nth Highest Salary (https://leetcode.com/problems/nth-highest-salary/solution/)
 
+Retrieve the n 
+th
+  highest salary from the Employee table. If there is no nth highest salary, we will return null.
+------------------------------------------------
+import pandas as pd
+
+def nth_highest_salary(employee: pd.DataFrame, N: int) -> pd.DataFrame:
+    unique_salaries = employee['salary'].drop_duplicates().sort_values(ascending=False).reset_index(drop=True)
+    if N > len(unique_salaries):
+        return pd.DataFrame({'Nth Highest Salary': [None]})
+    else:
+        return pd.DataFrame({'Nth Highest Salary': [unique_salaries.iloc[N-1]]})
+
+
+
+------------------------------------------------
+
 2 Problem 2 : Second Highest Salary ( https://leetcode.com/problems/second-highest-salary/ )
 
+Write a solution to find the second highest distinct salary from the Employee table. If there is no second highest salary, return null (return None in Pandas).
+
+The result format is in the following example.
+------------------------------------------------
+import pandas as pd
+
+def second_highest_salary(employee: pd.DataFrame) -> pd.DataFrame:
+    unique_salaries = employee['salary'].drop_duplicates().sort_values(ascending=False).reset_index(drop=True)
+    if len(unique_salaries) < 2:
+        return pd.DataFrame({'Second Highest Salary': [None]})
+    else:
+        return pd.DataFrame({'Second Highest Salary': [unique_salaries.iloc[1]]})
+
+
 
+------------------------------------------------