LabelEncoder: TypeError: '>' not supported between instances of 'float' and 'str'

Question

I\'m facing this error for multiple variables even treating missing values. For example:

le = preprocessing.LabelEncoder()
categorical = list(df.select_dtypes(in         


        

Answer 1

As string data types have variable length, it is by default stored as object type. I faced this problem after treating missing values too. Converting all those columns to type 'category' before label encoding worked in my case.

df[cat]=df[cat].astype('category')

And then check df.dtypes and perform label encoding.