BUG: Series.replace(dict-like, dict-like) raises uninformative AttributeError

[mroeschke]

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Reproducible Example

In [2]: pd.Series([1, 2]).replace(pd.Series([1]), pd.Series([2]))
AttributeError: 'Series' object has no attribute '_replace_columnwise'

Issue Description

It appears .replace(dict-like, dict-like) is only valid if the original object is a DataFrame so this should probably raise a ValueError instead of raising an AttributeError

Expected Behavior

Raise a ValueError

Installed Versions

Replace this line with the output of pd.show_versions()

[fbourgey]

take