dtoolkit.transformer.OneHotEncoder.transform

OneHotEncoder.transform(X: TwoDimArray) → TwoDimArray | csr_matrix

Transform X using one-hot encoding.

If sparse_output=True (default), it returns an instance of scipy.sparse._csr.csr_matrix (CSR format).

If there are infrequent categories for a feature, set by specifying max_categories or min_frequency, the infrequent categories are grouped into a single category.

Parameters:

Xarray-like of shape (n_samples, n_features)

The data to encode.

Returns:

X_out{ndarray, sparse matrix} of shape (n_samples, n_encoded_features)

Transformed input. If sparse_output=True, a sparse matrix will be returned.

Notes

This would let DataFrame out.