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33 changes: 33 additions & 0 deletions Calculate Special Bonus.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,33 @@
import pandas as pd

def calculate_special_bonus(employees: pd.DataFrame) -> pd.DataFrame:
#sol1
# 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')

#sol2
# for i in range(len(employees)):
# e_id = employees['employee_id'][i]
# name = employees['name'][i]

# if (e_id % 2 == 0) or (name[0] == 'M'):
# employees['salary'][i] = 0
# df = employees[['employee_id', 'salary']]
# return df.rename(columns = {'salary':'bonus'}).sort_values(by = 'employee_id')

#sol3
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'])


8 changes: 8 additions & 0 deletions Fix Names in a Table.py
Original file line number Diff line number Diff line change
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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()
users['name'] = users['name'].str.capitalize()
return users.sort_values(by =['user_id'])


26 changes: 26 additions & 0 deletions Patients With a Condition.py
Original file line number Diff line number Diff line change
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import pandas as pd

def find_patients(patients: pd.DataFrame) -> pd.DataFrame:
#sol1
# result = []

# for i in range(len(patients)):
# patient_id = patients['patient_id'][i]
# patient_name = patients['patient_name'][i]
# conditions = patients['conditions'][i]

# for condition in conditions.split():
# if condition.startswith('DIAB1'):
# result.append([patient_id,patient_name,conditions])
# break

# return pd.DataFrame(result, columns =['patient_id','patient_name','conditions'])

#sol2
# patients = patients[patients['conditions'].str.startswith('DIAB1')|
# patients['conditions'].str.contains(' DIAB1') ]
# return patients

#sol3
return patients[patients['conditions'].str.contains( r"(^|\s)DIAB1", regex =True)]