Completed Pandas5

Problem1_DeptHighSalary.py

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+import pandas as pd
+
+#Soln 1 : Using MAX
+def department_highest_salary(employee: pd.DataFrame, department: pd.DataFrame) -> pd.DataFrame:
+    maxsalary=employee.groupby('departmentId')['salary'].transform(max)
+    employee=employee[employee['salary']==maxsalary] # type: ignore
+    df=employee.merge(department,left_on='departmentId',right_on='id',how='left')
+    return df[['name_y','name_x','salary']].rename(columns={'name_y':'Department','name_x':'Employee','salary':'Salary'})     # type: ignore
+
+#SOLN2: Using Rank
+    df=employee.merge(department,left_on='departmentId',right_on='id',how='left')
+    df['rank']=df.groupby('departmentId')['salary'].rank(method='dense',ascending=False)
+    df=df[df['rank']==1]   
+    return df[['name_y','name_x','salary']].rename(columns={'name_y':'Department','name_x':'Employee','salary':'Salary'})

Problem2_RankScores.py

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+import pandas as pd
+
+def order_scores(scores: pd.DataFrame) -> pd.DataFrame:
+    scores['rank']=scores['score'].rank(method='dense',ascending=False)
+    return scores[['score','rank']].sort_values(by='score',ascending=False) # type: ignore