TypeError Traceback (most recent call last)

<ipython-input-223-18a2c3afda0e> in <module>
—-> 1 x_census = onehotencoder_census.fit_transform(x_census).toarray()

17 frames
/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py in _ensure_sparse_format(spmatrix, accept_sparse, dtype, copy, force_all_finite, accept_large_sparse)
438
439 if accept_sparse is False:
–> 440 raise TypeError(
441 “A sparse matrix was passed, but dense ”
442 “data is required. Use X.toarray() to ”

TypeError: A sparse matrix was passed, but dense data is required. Use X.toarray() to convert to a dense numpy array.