Change values in pandas dataframe according to value_counts()

Question

I have following pandas dataframe :

import pandas as pd 
from pandas import Series, DataFrame

data = DataFrame({\'Qu1\': [\'apple\', \'potato\', \'cheese\',         


        

Answer 1

I would create a dataframe of same shape where the corresponding entry is the value count:

data.apply(lambda x: x.map(x.value_counts()))
Out[229]: 
   Qu1  Qu2  Qu3
0    1    2    1
1    2    4    3
2    3    3    1
3    2    3    3
4    3    3    3
5    2    2    3
6    3    4    3
7    2    4    3
8    1    4    1

And, use the results in df.where to return "other" where the corresponding entry is smaller than 2:

data.where(data.apply(lambda x: x.map(x.value_counts()))>=2, "other")

      Qu1      Qu2     Qu3
0   other  sausage   other
1  potato   banana  potato
2  cheese    apple   other
3  banana    apple  cheese
4  cheese    apple  cheese
5  banana  sausage  potato
6  cheese   banana  cheese
7  potato   banana  potato
8   other   banana   other