Description
Pandas version checks
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I have checked that this issue has not already been reported.
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I have confirmed this bug exists on the latest version of pandas.
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I have confirmed this bug exists on the main branch of pandas.
Reproducible Example
import pandas as pd
df = pd.DataFrame([[1], [None]], dtype="Int64")
df.style.background_gradient()._compute()Issue Description
style.background_gradient() fails on nullable series (ex: Int64) with null values and raises the following exception:
ValueError: cannot convert to '<class 'float'>'-dtype NumPy array with missing values. Specify an appropriate 'na_value' for this dtype.
It appears this originates in pandas.io.formats.style._background_gradient() due to the call to gmap = data.to_numpy(dtype=float) not providing a na_value
Expected Behavior
No exception is raised
Installed Versions
INSTALLED VERSIONS
commit : 8dab54d
python : 3.9.9.final.0
python-bits : 64
OS : Darwin
OS-release : 22.2.0
Version : Darwin Kernel Version 22.2.0: Fri Nov 11 02:03:51 PST 2022; root:xnu-8792.61.2~4/RELEASE_ARM64_T6000
machine : arm64
processor : arm
byteorder : little
LC_ALL : None
LANG : en_CA.UTF-8
LOCALE : en_CA.UTF-8
pandas : 1.5.2
numpy : 1.22.1
pytz : 2022.7
dateutil : 2.8.2
setuptools : 65.7.0
pip : 22.1.1
Cython : None
pytest : 7.2.0
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : 2.9.5
jinja2 : 3.1.2
IPython : 8.8.0
pandas_datareader: None
bs4 : 4.11.1
bottleneck : None
brotli : None
fastparquet : 0.8.3
fsspec : 2022.11.0
gcsfs : 2022.11.0
matplotlib : 3.6.3
numba : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : 10.0.1
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : 1.7.3
snappy : None
sqlalchemy : 1.3.24
tables : None
tabulate : 0.9.0
xarray : 2022.12.0
xlrd : None
xlwt : None
zstandard : None
tzdata : None