From 0445c62d3ae5150b0ef879dca097e55d006d9dd4 Mon Sep 17 00:00:00 2001
From: Nidhi Chauhan <61177315+ni-13@users.noreply.github.com>
Date: Wed, 5 Mar 2025 15:41:26 -0500
Subject: [PATCH] Completed_S30_Pandas4

---
 S30_Pandas_04.py | 60 ++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 60 insertions(+)
 create mode 100644 S30_Pandas_04.py

diff --git a/S30_Pandas_04.py b/S30_Pandas_04.py
new file mode 100644
index 0000000..da88495
--- /dev/null
+++ b/S30_Pandas_04.py
@@ -0,0 +1,60 @@
+# Pandas_04
+
+# 177. Nth Highest Salary_Solution_Q1
+
+import pandas as pd
+
+def nth_highest_salary(employee: pd.DataFrame, N: int) -> pd.DataFrame:
+
+    dist = employee.drop_duplicates(subset='salary')
+    dist['rnk'] = dist['salary'].rank(method='dense', ascending=False)
+    ans = dist[dist.rnk == N][['salary']]
+    if not len(ans):
+        return pd.DataFrame({f'getNthHighestSalary({N})': [None]})
+    ans = ans.rename(columns={'salary':f'getNthHighestSalary({N})'})
+    return ans
+
+#Alternative1
+
+import pandas as pd
+
+def nth_highest_salary(employee: pd.DataFrame, N: int) -> pd.DataFrame:
+    result_set = set()
+    for i in range(len(employee)):
+        salary = employee['salary'][i]
+        result_set.add(salary)
+    result= []
+    for element in result_set:
+        result.append(element)
+    result.sort(reverse =True)
+
+    if N > len(result) or N <= 0:
+        return pd.DataFrame({f'getNthHighestSalary({N})' : [None]})
+    
+    return pd.DataFrame({f'getNthHighestSalary({N})' : [result[N-1]]})
+
+#Alternative2
+
+import pandas as pd
+
+def nth_highest_salary(employee: pd.DataFrame, N: int) -> pd.DataFrame:
+    df= employee[['salary']].drop_duplicates()
+    if N > len(df) or N <= 0:
+        return pd.DataFrame({f'getNthHighestSalary({N})' : [None]})
+    
+    return df.sort_values('salary', ascending = False).head(N).tail(1)[['salary']].rename(columns ={'salary':f'getNthHighestSalary({N})'})
+
+______________________________________________________________________________________________________________________________________
+
+# 176. Second Highest Salary_Solution_Q2
+
+import pandas as pd
+
+def second_highest_salary(employee: pd.DataFrame) -> pd.DataFrame:
+    employee = employee.drop_duplicates(["salary"])
+    if len(employee["salary"].unique()) < 2:
+        return pd.DataFrame({"SecondHighestSalary": [np.NaN]})
+    employee = employee.sort_values("salary", ascending=False)
+    employee.drop("id", axis=1, inplace=True)
+    employee.rename({"salary": "SecondHighestSalary"}, axis=1, inplace=True)
+    return employee.head(2).tail(1)
\ No newline at end of file