Pandas5 Completed

README.md

@@ -2,6 +2,48 @@
 
 1 Problem 1 : Department Highest Salary (https://leetcode.com/problems/department-highest-salary/ )
 
+rite a solution to find employees who have the highest salary in each of the departments.
+
+Return the result table in any order.
+
+The result format is in the following example.
+
+
+------------------------------------------------
+
+import pandas as pd
+
+def department_highest_salary(employee: pd.DataFrame, department: pd.DataFrame) -> pd.DataFrame:
+    merged = employee.merge(department, left_on='departmentId', right_on='id')
+    max_salaries = merged.groupby('name_y')['salary'].transform('max')
+    result = merged[merged['salary'] == max_salaries][['name_y', 'name_x', 'salary']]
+    result.columns = ['Department', 'Employee', 'Salary']
+    return result
+
+------------------------------------------------
+
+
+
 2 Problem 2 : Rank Scores ( https://leetcode.com/problems/rank-scores/ )
 
+Write a solution to find the rank of the scores. The ranking should be calculated according to the following rules:
+
+The scores should be ranked from the highest to the lowest.
+If there is a tie between two scores, both should have the same ranking.
+After a tie, the next ranking number should be the next consecutive integer value. In other words, there should be no holes between ranks.
+Return the result table ordered by score in descending order.
+
+The result format is in the following example.
+
+
+------------------------------------------------
+import pandas as pd
+
+def rank_scores(scores: pd.DataFrame) -> pd.DataFrame:
+    scores['rank'] = scores['score'].rank(method='dense', ascending=False).astype(int)
+    return scores[['score', 'rank']].sort_values('score', ascending=False)
+
+
+------------------------------------------------
+