Categorical Variable handling
- This is a package that contain some powerful Categorical feature handling algorithm :
- For that you have to install this library using pip command
- Then observe you dataset and figure out which encoding technique you wants to used
- After that call that library and do as follows:
Download package : pip install categorical-variable-handling==0.1
from categorical_variable _handling import CategoricalFeature
column="Give here the list of Categorical column"
dataframe="Here give the dataframe"
encoding_type="Here give the encoding type e.g:'label','binary','ohe':one hot encoder"
handle_na="this is a boolean value if you wants to handle the NaN value then make true else make false "
cat = CategoricalFeature(df, categorical_features=c, encoding_type='ohe', handle_na=True)
cat.fit_transform() #This will return the transformed value of the datasetFor a input like this:
m n p
0 india 1000 rav1
1 us 2000 mani
2 japan 3000 ravi
3 us 4000 shri
4 japan 5000 shri
Output will look like this:
n m__bin_0 m__bin_1 m__bin_2 p__bin_0 p__bin_1 p__bin_2 p__bin_3
0 1000 1 0 0 0 1 0 0
1 2000 0 0 1 1 0 0 0
2 3000 0 1 0 0 0 1 0
3 4000 0 0 1 0 0 0 1
4 5000 0 1 0 0 0 0 1
By. Manikant Kumar
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