BUG: Styler renders booleans True/False as digits since 1.4.0

[ihayhurst]

Pandas version checks

• I have checked that this issue has not already been reported.

• I have confirmed this bug exists on the latest version of pandas.

• I have confirmed this bug exists on the main branch of pandas.

Reproducible Example

import pandas as pd

d = {
    "species": ["parrot", "dodo", "moa", "whale"],
    "extinct": [False, True, True, False],
}
df = pd.DataFrame(data=d)
print(df.head())
print(df.dtypes)


def applyStyle(df):
    style = [
        dict(
            selector="th",
            props=[
                ("font-size", "100%"),
                ("text-align", "left"),
                ("text-transform", "capitalize"),
                ("background-color", "#333399"),
                ("color", "white"),
            ],
        ),
        dict(selector="caption", props=[("caption-side", "bottom")]),
        dict(selector="td a", props=[("display", "block")]),
    ]
    patchingStyle = (
        df.style.set_table_styles(style)
        .set_properties(subset=["species"], **{"width": "200px"})
        .set_properties(subset=["extinct"], **{"width": "130px"})  
    )
    return patchingStyle


html = applyStyle(df).to_html(doctype_html=True)
with open("test.html", "w", encoding="utf-8") as f:
    f.write(html)

Issue Description

Datatype boolean in dataframe is now rendered as digits when passed to styler since version 1.4.0

species extinct
0 parrot False
1 dodo True
2 moa True
3 whale False
species object
extinct bool
dtype: object

Expected Behavior

species extinct
0 parrot False
1 dodo True
2 moa True
3 whale False
species object
extinct bool
dtype: object

Installed Versions

INSTALLED VERSIONS

commit : 06d2301
python : 3.9.5.final.0
python-bits : 64
OS : Darwin
OS-release : 19.6.0
Version : Darwin Kernel Version 19.6.0: Thu Jan 13 01:26:33 PST 2022; root:xnu-6153.141.51~3/RELEASE_X86_64
machine : x86_64
processor : i386
byteorder : little
LC_ALL : None
LANG : en_GB.UTF-8
LOCALE : en_GB.UTF-8

pandas : 1.4.1
numpy : 1.20.3
pytz : 2021.1
dateutil : 2.8.1
pip : 22.0.4
setuptools : 56.0.0
Cython : None
pytest : None
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 3.0.1
IPython : 7.24.1
pandas_datareader: None
bs4 : None
bottleneck : None
fastparquet : None
fsspec : None
gcsfs : None
matplotlib : 3.4.2
numba : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : None
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : 1.6.3
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlwt : None
zstandard : None
None

[attack68]

I do not see this problem on Master. Running the following on Master:

>>> df1 = DataFrame({"A": [True, False]})
>>> print(df1.style.to_html())
<style type="text/css">
</style>
<table id="T_f4541">
  <thead>
    <tr>
      <th class="blank level0" >&nbsp;</th>
      <th id="T_f4541_level0_col0" class="col_heading level0 col0" >A</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th id="T_f4541_level0_row0" class="row_heading level0 row0" >0</th>
      <td id="T_f4541_row0_col0" class="data row0 col0" >True</td>
    </tr>
    <tr>
      <th id="T_f4541_level0_row1" class="row_heading level0 row1" >1</th>
      <td id="T_f4541_row1_col0" class="data row1 col0" >False</td>
    </tr>
  </tbody>
</table>

[ihayhurst]

Ok, sorry looks like I have this in the released version of pandas 1.4.1 but checking out master and using the docker container 1.5.0.dev it's fixed I should have read the check box release and master more carefully.
Would be grateful if you know where the issue that fixed it is as I couldn't find any reference to it

INSTALLED VERSIONS

commit : e7a0cf3
python : 3.8.12.final.0
python-bits : 64
OS : Linux
OS-release : 5.10.76-linuxkit
Version : #1 SMP Mon Nov 8 10:21:19 UTC 2021
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : C.UTF-8
LANG : C.UTF-8
LOCALE : en_US.UTF-8

pandas : 1.5.0.dev0+543.ge7a0cf3ba0
numpy : 1.22.3

[attack68]

I believe it is #46119.

Looks like isinstance(True, int) = True whereas is_integer(True) = False

[simonjayhawkins]

Reopened to at least add a test before closing. Milestoned 1.4.2 for now to track pending discussion in #46500

[simonjayhawkins]

I believe it is #46119.

can confirm, reverting #46119 results in code sample in #46384 (comment) giving same result as 1.4.1

[simonjayhawkins]

Datatype boolean in dataframe is now rendered as digits when passed to styler since version 1.4.0

can confirm regression from 1.3.5

first bad commit: [08ac29a] ENH: styler.format options (#43256)