import pandas as pd

​

# Create a sample DataFrame

data = {

    'Name': ['Alice', 'Bob', 'Charlie'],

    'Age': [25, 32, 10],

    'Country': ['USA', 'Canada', 'UK']

}

df = pd.DataFrame(data)

​

# Set a condition using boolean indexing

df.loc[df['Age'] >= 18, 'Status'] = 'Adult'

df.loc[df['Age'] < 18, 'Status'] = 'Child'

print(df)

df.loc[df['age1'] - df['age2'] > 0, 'diff'] = df['age1'] - df['age2']

import pandas as pd

​

numbers = {'set_of_numbers': [1,2,3,4,5,6,7,8,9,10]}

df = pd.DataFrame(numbers,columns=['set_of_numbers'])

​

df.loc[df['set_of_numbers'] <= 4, 'equal_or_lower_than_4?'] = 'True' 

df.loc[df['set_of_numbers'] > 4, 'equal_or_lower_than_4?'] = 'False' 

​

print (df)

df.loc[df['column name'] condition, 'new column name'] = 'value if condition is met'