TypeError: 'OneHotEncoder' object is not iterable

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I'm trying to use OneHotEncoding on the categorical variables of the following dataset. enter image description here

First, I'm trying to convert the 'Geography' column. Here's what I've done so far:

from sklearn.preprocessing import OneHotEncoder
from sklearn.compose import ColumnTransformer 

ct = ColumnTransformer(['Geography',OneHotEncoder(categories='auto'),[1]],remainder='passthrough')
df_ = ct.fit_transform(df.values)

However, when I try this, I get the following error: error message

Can someone help me to understand why this error occurs and how to solve this?

one-hot-encoding scikit-learn
1 Answers

There is a syntax error in the input parameter to the ColumnTransformer. It expects a list of tuples.

transformers : list of tuples

List of (name, transformer, columns) tuples specifying the transformer objects to be applied to subsets of the data.

Try fixing it by converting the encoder params to a tuple

ct = ColumnTransformer([('Geography',OneHotEncoder(categories='auto'),[1])],remainder='passthrough')
user_29615230
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