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Concatenation of series of differing types should lead to object #21922

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Concatenation of series of differing types should lead to object #21922

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1 change: 1 addition & 0 deletions doc/source/whatsnew/v0.24.0.txt
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Expand Up @@ -257,6 +257,7 @@ ExtensionType Changes
- Bug in :meth:`Series.get` for ``Series`` using ``ExtensionArray`` and integer index (:issue:`21257`)
- :meth:`Series.combine()` works correctly with :class:`~pandas.api.extensions.ExtensionArray` inside of :class:`Series` (:issue:`20825`)
- :meth:`Series.combine()` with scalar argument now works for any function type (:issue:`21248`)
- Bug in :func:`concat` that lead to inconsistent behaviour for ExtensionArrays where the scalar representation was int or float (:issue:`21792`)
-

.. _whatsnew_0240.api.incompatibilities:
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2 changes: 2 additions & 0 deletions pandas/core/dtypes/concat.py
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Expand Up @@ -180,6 +180,8 @@ def is_nonempty(x):
extensions = [is_extension_array_dtype(x) for x in to_concat]
if any(extensions) and axis == 1:
to_concat = [np.atleast_2d(x.astype('object')) for x in to_concat]
elif any(extensions):
to_concat = [x.astype('object') for x in to_concat]

if not nonempty:
# we have all empties, but may need to coerce the result dtype to
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