OneHotEncoder not behaving?

I am given a code chunk to run in Jupyter to learn about One Hot Encoding and when I run the code an error shows up.

    from sklearn.preprocessing import OneHotEncoder as ohc

    enc = ohc(drop='if_binary', sparse_output=False).set_output(transform='pandas')

    df = enc.fit_transform(default[["student"]])

    default_enc = default.assign(student = df['student_Yes'])

then I get the error code:

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-8-f958840e2f7e> in <module>
      1 from sklearn.preprocessing import OneHotEncoder as ohc
      2 default = pd.read_csv("default.csv", index_col=[0])
----> 3 enc = ohc(drop = 'if_binary',sparse_output=False).set_output(transform='pandas')
      4 df = enc.fit_transform(default[["student"]])
      5 default_enc = default.assign(student = df['student_Yes'])

/usr/local/lib64/python3.6/site-packages/sklearn/utils/validation.py in inner_f(*args, **kwargs)
     61             extra_args = len(args) - len(all_args)
     62             if extra_args <= 0:
---> 63                 return f(*args, **kwargs)
     64 
     65             # extra_args > 0

TypeError: __init__() got an unexpected keyword argument 'sparse_output'

I have tried updating anaconda, and sklearn. The code is supposed to work the next few problems rely on editing it to see how different parts affect it. your text

You are probably using a version of sklearn < 1.2, you should rename sparse_output as sparse, or update to sklearn >= 1.2.

enc = ohc(drop='if_binary', sparse=False).set_output(transform='pandas')

See OneHotEncoder :
“New in version 1.2: sparse was renamed to sparse_output“