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 vote139 views1 answer
Count number of zeros in a number python
Python
2 votes145 views1 answer
Add hour minutes second python
Python
0 vote173 views2 answers
Pandas rename columns by position
Python
0 vote148 views1 answer
How to detect the body with cv2
Python
0 vote172 views1 answer
Findout not common values between two data frames
Python
0 vote198 views3 answers
Dataset analysis in python photo photoelectric effect
Python
3 votes153 views1 answer
Axis = 1 python
Python
3 votes166 views2 answers
Jupyter print full dataframe
Python
2 votes152 views2 answers
Sha512 python
Python
23 votes150 views3 answers
Install django rest framework
Python