Done Pandas3

CalculateSpecialBonus.py

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+import pandas as pd
+
+def calculate_special_bonus(employees: pd.DataFrame) -> pd.DataFrame:
+    result = []
+    for i in range(len(employees)):
+        e_id = employees['employee_id'][i]
+        name = employees['name'][i]
+        if(e_id % 2 != 0) and (name[0] != 'M'):
+            result.append([e_id , employees['salary'][i]])
+        else:
+            result.append([e_id,0])
+    return pd.DataFrame(result , columns = ['employee_id' , 'bonus']).sort_values(by = ['employee_id'])
+
+

FixNamesInATable.py

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+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(by = ['user_id'])
+

PatientsWithACondition.py

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+import pandas as pd
+
+def find_patients(patients: pd.DataFrame) -> pd.DataFrame:
+    result =[]
+    for i in range(len(patients)):
+        p_id = patients['patient_id'][i]
+        p_name = patients['patient_name'][i]
+        conditions = patients['conditions'][i]
+        for condition in conditions.split():
+            if condition.startswith('DIAB1'):
+                result.append([p_id,p_name,conditions])
+                break
+
+    return pd.DataFrame(result , columns = ['patient_id' , 'patient_name' , 'conditions'])
+
+
+