problem 1 and 2 added

problem1-1873-calculate-special-bonus.py

@@ -0,0 +1,31 @@
+import pandas as pd
+
+def calculate_special_bonus(employees: pd.DataFrame) -> pd.DataFrame:
+
+    for i in range(0,len(employees)):
+        e_id = employees['employee_id'][i]
+        e_name = employees['name'][i]
+        if(e_id %2 == 0) or (e_name[0] == 'M'):
+           employees['salary'][i] = 0
+
+    df = employees[['employee_id','salary']]
+
+    return df.sort_values(by = ['employee_id']).rename(columns = {'salary':'bonus'})
+
+
+###better sol
+
+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 and not x['name'].startswith('M') else 0,
+        axis=1)
+
+    return employees[['employee_id', 'bonus']].sort_values(by=['employee_id'])
+
+
+
+
+

problem2-1667-fix-names-table.py

@@ -0,0 +1,7 @@
+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'])

problem3-1527-patients-with-condition.py

@@ -0,0 +1,5 @@
+import pandas as pd
+
+
+def find_patients(patients: pd.DataFrame) -> pd.DataFrame:
+    return patients[(patients['conditions'].str.startswith("DIAB1") | patients['conditions'].str.contains(" DIAB1"))]