Pandas version checks
- [X] I have checked that this issue has not already been reported.
- [ ] I have confirmed this bug exists on the latest version of pandas.
- [X] I have confirmed this bug exists on the main branch of pandas.
Reproducible Example
import numpy as np
import pandas as pd
pd.Series([1]).to_numpy(dtype="float", na_value=np.nan)
Issue Description
to_numpy is currently failing when the na_value isn't compatible with the type of a series, even if we request casting to a suitable type. This commit looks suspicious, as it removed a casting step (L534: np.asarray(self._values, dtype=dtype)).
Expected Behavior
I would have expected the example to produce np.array([1.0]) as it used to.
Installed Versions
INSTALLED VERSIONS
------------------
commit : 92e458d8037057b73724d10badfe3afd4580a262
python : 3.10.8.final.0
python-bits : 64
OS : Windows
OS-release : 10
Version : 10.0.22621
machine : AMD64
processor : AMD64 Family 23 Model 96 Stepping 1, AuthenticAMD
byteorder : little
LC_ALL : None
LANG : None
LOCALE : English_United Kingdom.1252
pandas : 2.0.0.dev0+1087.g92e458d803
numpy : 1.23.5
pytz : 2022.7
dateutil : 2.8.2
setuptools : 65.6.3
pip : 22.3.1
Cython : None
pytest : 7.2.0
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 3.1.2
IPython : 8.8.0
pandas_datareader: None
bs4 : 4.11.1
bottleneck : None
brotli :
fastparquet : None
fsspec : None
gcsfs : None
matplotlib : None
numba : 0.56.4
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : None
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : 1.10.0
snappy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
zstandard : 0.19.0
tzdata : None
qtpy : None
pyqt5 : None
Comment From: mroeschke
cc @phofl
Comment From: phofl
Thx, will take a look