Pandas3 Done

Bonus.txt

@@ -0,0 +1,5 @@
+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 != 0 and not x['name'].startswith('M') else 0, axis = 1)
+    return employees[['employee_id','bonus']].sort_values(by = 'employee_id')

Fix_Names.txt

@@ -0,0 +1,5 @@
+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.sort_values('user_id')

Patients_With_Conditions.txt

@@ -0,0 +1,4 @@
+import pandas as pd
+
+def find_patients(patients: pd.DataFrame) -> pd.DataFrame:
+    return patients[patients['conditions'].str.contains(r'(^|\s)DIAB1', regex=True)]