Combining sparse class

categorical_features=[feature for feature in dataset.columns if dataset[feature].dtype=='O']
for feature in categorical_features:   
    temp=dataset[feature].value_counts(normalize=True)
    temp_df=temp[temp>0.01].index                     
    
    dataset[feature]=np.where(dataset[feature].isin(temp_df),dataset[feature],'Rare_var')
                                   # condition satisfies then   'X'            else'Y'
                                   #condition---------->   ,take this values else,'Rare_var'

Similar codes

1 vote278 views1 answer
Python multiaxis slicing
Python
0 vote302 views4 answers
Come traferire file python
Python
8 votes265 views1 answer
Creating dynamic variable in python
Python
0 vote272 views1 answer
Python make string one line
Python
6 votes278 views2 answers
How many nan in array python
Python
0 vote268 views1 answer
Rename column in pandas with second row
Python
106 votes278 views5 answers
Sorting by column in pandas
Python
14 votes257 views3 answers
How to get id of user discord.py
Python
1 vote270 views1 answer
How to make a breakable loop in python
Python
3 votes226 views1 answer
Find all index of element in list python
Python