Python check column conditions

from pandas import DataFrame
 
names = {'First_name': ['Hanah', 'Ria', 'Jay', 'Bholu', 'Sachin']}
df = DataFrame(names, columns =['First_name'])
 
df.loc[(df['First_name'] == 'Ria') | (df['First_name'] == 'Jay'), 'Status'] = 'Found' 
df.loc[(df['First_name'] != 'Ria') & (df['First_name'] != 'Jay'), 'Status'] = 'Not Found' 
 
print (df)

Source: geeksforgeeks.org

Similar codes

1 vote179 views1 answer
Selenium select element by id
Python
13 votes210 views3 answers
Hstack in numpy
Python
2 votes143 views3 answers
Typeerror: 'list' object is not callable
Python
0 vote179 views3 answers
Mechanize python fill
Python
0 vote200 views1 answer
Pygame tick time
Python
0 vote185 views1 answer
Cv2 yellow color range
Python
0 vote243 views1 answer
Python check if hotkey pressed
Python
2 votes179 views2 answers
Install python3.7 ubuntu 20.04
Python
0 vote189 views1 answer
Imblearn RandomOverSampler
Python
0 vote196 views1 answer
Pandas merge sort columns
Python