Int32Dtype will error when filling float values with the function fillna()

[Reggieharden]

Pandas version checks

• I have checked that the issue still exists on the latest versions of the docs on main here

Location of the documentation

https://pandas.pydata.org/docs/reference/api/pandas.Series.fillna.html?highlight=fillna#pandas.Series.fillna

https://pandas.pydata.org/docs/reference/api/pandas.Int32Dtype.html?highlight=int32#pandas.Int32Dtype

Documentation problem

version 1.3.5: cannot safely cast non-equivalent float64 to Int32

version 1.5.2 : Invalid value '1.1' for dtype Int32

Suggested fix for documentation

IntDtype automatically converts to float

[phofl]

Hi, thanks for your report. Do you wish for this to work or should we adjust the documentation?

This errors on purpose, so is not considered a bug.

[rhshadrach]

There is an inconsistency here with other dtypes; float64 will coerce to object:

ser = Series([1, 2, np.nan])
print(ser.fillna('x'))
# 0    1.0
# 1    2.0
# 2      x
# dtype: object

[phofl]

Numpy dtypes upcast while our own nullable dtypes raise when setting incompatible values

[phofl]

Duplicate of #44289