conditions in pandas dataframe

1df['equal_or_lower_than_4?'] = df['set_of_numbers'].apply(lambda x: 'True' if x <= 4 else 'False')
2

1df['color'] = ['red' if x == 'Z' else 'green' for x in df['Set']]

1
2from pandas import DataFrame
3  
4names = {'First_name': ['Hanah', 'Ria', 'Jay', 'Bholu', 'Sachin']}
5df = DataFrame(names, columns =['First_name'])
6  
7df['Status'] = df['First_name'].apply(lambda x: 'Found' if x == 'Ria' else 'Not Found')
8  
9print (df)

1df.loc[df['age1'] - df['age2'] > 0, 'diff'] = df['age1'] - df['age2']

1df.loc[df['column name'] condition, 'new column name'] = 'value if condition is met'
2

1df.loc[df[‘column name’] condition, ‘new column name’] = ‘value if condition is met’