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Reproducible Example

s = pd.Series([1, 2, None], dtype="Int32")
s.apply(lambda x: print(x))
s.map(lambda x: print(x))
# print 1.0 2.0 nan instead of 1 2 <NA>

Issue Description

s has dtype Int32Dtype which can encode nullable integers

However, when we use .apply(f) or .map(f), the element passed to f becomes float, and pd.NA becomes np.nan

Expected Behavior

f should receive unconverted value, as if we are doing f(s.iloc[0]), f(s.iloc[1]), ...

Installed Versions