BUG: AttributeError raised with pd.concat between a None and Timestamp

[christensendaniel]

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Reproducible Example

import pandas as pd
data = [{'A':None}]
df = pd.DataFrame(data)
data_2 = [{'A': pd.to_datetime("1990-12-20 00:00:00+00:00")}]
df_2 = pd.DataFrame(data_2)
pd.concat([df, df_2])

Issue Description

When running pd.concat between two DataFrame: one with None as an object, and a second, with a timezone-enabled pandas._libs.tslibs.timestamps.Timestamp an AttributeError is raised.

AttributeError: 'NoneType' object has no attribute 'value'

Expected Behavior

I expect this to return the same response when a non-timezone-enabled pandas._libs.tslibs.timestamps.Timestamp, which is the None changes to a pd.NaT

Installed Versions

INSTALLED VERSIONS

commit : c2a7f1a
python : 3.11.2.final.0
python-bits : 64
OS : Linux
OS-release : 5.10.102.1-microsoft-standard-WSL2
Version : #1 SMP Wed Mar 2 00:30:59 UTC 2022
machine : x86_64
processor :
byteorder : little
LC_ALL : None
LANG : C.UTF-8
LOCALE : en_US.UTF-8

pandas : 2.0.0rc1
numpy : 1.24.2
pytz : 2022.7.1
dateutil : 2.8.2
setuptools : 65.5.1
pip : 22.3.1
Cython : None
pytest : None
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : None
IPython : None
pandas_datareader: None
bs4 : None
bottleneck : None
brotli : None
fastparquet : None
fsspec : None
gcsfs : None
matplotlib : None
numba : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : None
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : None
snappy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
zstandard : None
tzdata : None
qtpy : None
pyqt5 : None

[jbrockmendel]

Looks like in pd.core.internals.concat we need to change i8values = np.full(self.shape, fill_value._value) to i8values = np.full(self.shape, NaT.value)

[willjhenry]

ran into this bug this AM in pandas 2.0.1

[jbrockmendel]

PR to address this is welcome.

[srkds]

take