Pandas version checks
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[x] I have checked that this issue has not already been reported.
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[x] I have confirmed this bug exists on the latest version of pandas.
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[x] I have confirmed this bug exists on the main branch of pandas.
Reproducible Example
import pandas as pd
import numpy as np
from pandas.api.types import infer_dtype
print(infer_dtype([1 + 1j, np.nan]))
# complex
print(infer_dtype([1 + 1j, pd.NA]))
# mixed
Issue Description
infer_dtype on complex arrays with NA does not produce consistent results.
Similar to #61621, which has been fixed for the case of float type. I will submit a PR.
Expected Behavior
Should return complex.
Installed Versions
INSTALLED VERSIONS
------------------
commit : 49ca01ba9023b677f2b2d1c42e99f45595258b74
python : 3.10.16
python-bits : 64
OS : Linux
OS-release : 5.10.16.3-microsoft-standard-WSL2
Version : #1 SMP Fri Apr 2 22:23:49 UTC 2021
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : C.UTF-8
LOCALE : en_US.UTF-8
pandas : 3.0.0.dev0+1580.g68d9dcab5b.dirty
numpy : 1.26.4
dateutil : 2.9.0.post0
pip : 24.3.1
Cython : 3.0.11
sphinx : 8.1.3
IPython : 8.31.0
adbc-driver-postgresql: None
adbc-driver-sqlite : None
bs4 : 4.12.3
bottleneck : 1.4.2
fastparquet : 2024.11.0
fsspec : 2024.12.0
html5lib : 1.1
hypothesis : 6.124.7
gcsfs : 2024.12.0
jinja2 : 3.1.5
lxml.etree : 5.3.0
matplotlib : 3.10.0
numba : 0.60.0
numexpr : 2.10.2
odfpy : None
openpyxl : 3.1.5
psycopg2 : 2.9.9
pymysql : 1.4.6
pyarrow : 19.0.0
pyiceberg : None
pyreadstat : 1.2.8
pytest : 8.3.4
python-calamine : None
pytz : 2024.2
pyxlsb : 1.0.10
s3fs : 2024.12.0
scipy : 1.15.1
sqlalchemy : 2.0.37
tables : 3.10.1
tabulate : 0.9.0
xarray : 2024.9.0
xlrd : 2.0.1
xlsxwriter : 3.2.0
zstandard : 0.23.0
qtpy : None
pyqt5 : None
Comment From: arthurlw
Confirmed on main. PRs are welcome!
Thanks for raising this!