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Keywords {🔍}

pandas, bug, issue, values, dhendry, sign, stylebackgroundgradient, nullable, series, int, projects, fails, null, navigation, pull, requests, actions, security, closed, description, version, confirmed, exists, exception, navalue, dtype, added, triage, reviewed, team, member, fix, styler, conditional, formatting, dataframestyle, github, type, milestone, footer, skip, content, menu, product, solutions, resources, open, source, enterprise, pricing,

Topics {✒️}

assigned labels bug personal information bug comment metadata assignees null values latest version import pandas missing values triage issue type projects projects milestone bug exists dtype=float pandas nullable dtype issue main branch gmap = data milestone relationships nullable series style type bug github fix style pd dtype= dtype df 'na_value' style series fix sign skip jump background_gradient fails int64 checked reported confirmed reproducible dataframe _compute raises exception valueerror convert appears originates io

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      context:https://schema.org
      headline:BUG: style.background_gradient() fails on nullable series (ex: Int64) with null values
      articleBody:### Pandas version checks - [X] I have checked that this issue has not already been reported. - [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas. - [X] I have confirmed this bug exists on the main branch of pandas. ### Reproducible Example ```python 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 <details> INSTALLED VERSIONS ------------------ commit : 8dab54d6573f7186ff0c3b6364d5e4dd635ff3e7 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 </details>
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      headline:BUG: style.background_gradient() fails on nullable series (ex: Int64) with null values
      articleBody:### Pandas version checks - [X] I have checked that this issue has not already been reported. - [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas. - [X] I have confirmed this bug exists on the main branch of pandas. ### Reproducible Example ```python 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 <details> INSTALLED VERSIONS ------------------ commit : 8dab54d6573f7186ff0c3b6364d5e4dd635ff3e7 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 </details>
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