ENH: Styler.highlight_null to accept subset argument · Issue #31345 · pandas-dev/pandas (original) (raw)

Code Sample, a copy-pastable example if possible

import pandas as pd df = pd.DataFrame({"A": [0, None], "B": [0, None]}) df.style.highlight_null(null_color="red", subset=["A"])

out:

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-3-c4119d081571> in <module>
----> 1 df.style.highlight_null(null_color="red", subset=["A"])

TypeError: highlight_null() got an unexpected keyword argument 'subset'

Problem description

Most of the Styler built-in methods support subset argument, except highlight_null.
I think it would be nice if we make it consistent with highlight_min and highlight_max etc.
This also improves the api completeness for missing values styling and formatting. (as discussed here)

Expected Output

Screenshot from 2020-01-27 23-16-43

Output of pd.show_versions()

INSTALLED VERSIONS

commit : None
python : 3.8.1.final.0
python-bits : 64
OS : Linux
OS-release : 3.10.0-862.14.4.el7.x86_64
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8

pandas : 0.25.3
numpy : 1.18.1
pytz : 2019.3
dateutil : 2.8.1
pip : 19.3.1
setuptools : 44.0.0.post20200106
Cython : None
pytest : None
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 2.10.3
IPython : 7.11.1
pandas_datareader: None
bs4 : None
bottleneck : None
fastparquet : None
gcsfs : None
lxml.etree : None
matplotlib : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : None
pytables : None
s3fs : None
scipy : None
sqlalchemy : None
tables : None
xarray : None
xlrd : None
xlwt : None
xlsxwriter : None