pandas (original) (raw)

Pandas version checks

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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