scikit-learn OrdinalEncoder error: could not convert string to float

Question

I have set a list of categories in my ordinalEncoder

noemployees_encoder=OrdinalEncoder(categories= [["1-5","6-25","26-100","100-500","500-1000","More than 1000"]])
mh_dataclean_encoded["no_employees"]=noemployees_encoder.fit_transform(mh_dataclean_encoded[["no_employees"]])

Afterwards when I call fit_transform method I get the following error:

could not convert string to float: '1-5'

I've followed some OrdinalEncoder tutorials and it apparently seems ok. Any help?

everfight · Accepted Answer · 2019-07-29 17:31:54Z

1

try to change the dtype of your data like this

noemployees_encoder=OrdinalEncoder(categories= [["1-5","6-25","26-100","100-500","500-1000","More than 1000"]],dtype=np.str_)

answered Jul 29, 2019 at 17:31

everfight

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