duplicated() : getting duplicate rows

Using DataFrame

import pandas as pd 
my_dict={
  'id':[1,2,3,4,5,4,2],
  'name':['John','Max','Arnold','Krish','John','Krish','Max'],
  'class1':['Four','Three','Three','Four','Four','Four','Three'],
  'mark':[75,85,55,60,60,60,85],
  'sex':['female','male','male','female','female','female','male']
	}
my_data = pd.DataFrame(data=my_dict)
print(my_data)

   id    name class1  mark     sex
0   1    John   Four    75  female
1   2     Max  Three    85    male
2   3  Arnold  Three    55    male
3   4   Krish   Four    60  female
4   5    John   Four    60  female
5   4   Krish   Four    60  female
6   2     Max  Three    85    male

Display rows indicating duplicates

print(my_data.duplicated())

0    False
1    False
2    False
3    False
4    False
5     True
6     True
dtype: bool

my_data['status']=my_data['class1'].duplicated()

Display duplicate rows only

print(my_data[my_data.duplicated()])

   id   name class1  mark     sex
5   4  Krish   Four    60  female
6   2    Max  Three    85    male

Display unique rows

print(my_data[~my_data.duplicated()])

   id    name class1  mark     sex
0   1    John   Four    75  female
1   2     Max  Three    85    male
2   3  Arnold  Three    55    male
3   4   Krish   Four    60  female
4   5    John   Four    60  female

Display based on unique value of column

print(my_data[~my_data['class1'].duplicated(keep='first')])

   id  name class1  mark     sex
0   1  John   Four    75  female
1   2   Max  Three    85    male