diff --git a/NthHighestSalary.py b/NthHighestSalary.py
new file mode 100644
index 0000000..10d1b99
--- /dev/null
+++ b/NthHighestSalary.py
@@ -0,0 +1,16 @@
+'''
+Pandas4
+
+1 Problem 1 : Nth Highest Salary (https://leetcode.com/problems/nth-highest-salary/solution/)
+'''
+
+import pandas as pd
+
+def nth_highest_salary(employee: pd.DataFrame, N: int) -> pd.DataFrame:
+    employee = employee.drop_duplicates(subset = 'salary')
+    employee['rnk'] = employee['salary'].rank(method='dense', ascending=False)
+    ans = employee[employee.rnk==N][['salary']]
+    if not len(ans):
+        return pd.DataFrame({f'getNthHighestSalary({N})':[None]})
+    ans = ans.rename(columns={'salary':f'getNthHighestSalary({N})'})
+    return ans   
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diff --git a/SecondHighestSalary.py b/SecondHighestSalary.py
new file mode 100644
index 0000000..0657680
--- /dev/null
+++ b/SecondHighestSalary.py
@@ -0,0 +1,16 @@
+'''
+2 Problem 2 : Second Highest Salary ( https://leetcode.com/problems/second-highest-salary/ )
+'''
+
+import numpy as np
+import pandas as pd
+
+def second_highest_salary(employee: pd.DataFrame) -> pd.DataFrame:
+    employee = employee.drop_duplicates(subset = 'salary')
+    if len(employee['salary'].unique())<2:
+        return pd.DataFrame({'SecondHighestSalary':[np.NaN]})
+
+    employee['rnk'] = employee['salary'].rank(method='dense', ascending=False)
+    ans = employee[employee.rnk==2][['salary']]
+    ans = ans.rename(columns={'salary':'SecondHighestSalary'})
+    return ans   
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