Completed Pandas3

CalculateSpecialBonus.py

@@ -0,0 +1,13 @@
+'''
+Pandas3
+
+1 Problem 1 :Calculate Special Bonus ( https://leetcode.com/problems/calculate-special-bonus/)
+
+'''
+
+import pandas as pd
+
+def calculate_special_bonus(employees: pd.DataFrame) -> pd.DataFrame:
+    employees['bonus'] = employees.apply(
+        lambda x: x['salary'] if (x['employee_id']%2==1) and (x['name'][0]!='M') else 0,axis=1)
+    return employees[['employee_id', 'bonus']].sort_values('employee_id')

FixNamesInATable.py

@@ -0,0 +1,10 @@
+'''
+2 Problem 2 : Fix Names in a Table ( https://leetcode.com/problems/fix-names-in-a-table/ )
+
+'''
+
+import pandas as pd
+
+def fix_names(users: pd.DataFrame) -> pd.DataFrame:
+    users["name"] = users["name"].str[0].str.upper() + users["name"].str[1:].str.lower()
+    return users[['user_id', 'name']].sort_values('user_id')

PatientsWithACondition.py

@@ -0,0 +1,9 @@
+'''
+3 Problem 3 : Patients with a Condition ( https://leetcode.com/problems/patients-with-a-condition/)
+'''
+
+import pandas as pd
+
+def find_patients(patients: pd.DataFrame) -> pd.DataFrame:
+    patients = patients[patients['conditions'].str.contains(r"(^|\s)DIAB1", regex=True)]
+    return patients[['patient_id', 'patient_name', 'conditions']]