Provide styling option to escape dollar signs · Issue #19824 · pandas-dev/pandas (original) (raw)

Jupyter Notebooks use MathJax to render text between dollar signs. Sometimes this is appropriate and sometimes it is not.

import pandas as pd df=pd.DataFrame({'A':['From 200millionto200 million to 200millionto700 million','$20+']}) df

It appears that the official guidance is to use $\$$ to render a single $ symbol.

df.A = df.A.str.replace('$', '$$$') df

However, editing the data to tune the rendering is messy. I'm hoping this can be incorporated into the new Pandas styling module. Perhaps something like df.style.escape_dollar().

Output of pd.show_versions()

INSTALLED VERSIONS

commit: None
python: 3.6.4.final.0
python-bits: 64
OS: Linux
OS-release: 2.6.32-696.13.2.el6.x86_64
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: en_US.UTF-8

pandas: 0.22.0
pytest: 3.4.0
pip: 9.0.1
setuptools: 38.4.0
Cython: None
numpy: 1.14.0
scipy: None
pyarrow: 0.8.0
xarray: None
IPython: 6.2.1
sphinx: None
patsy: None
dateutil: 2.6.1
pytz: 2017.3
blosc: None
bottleneck: None
tables: None
numexpr: None
feather: 0.4.0
matplotlib: 2.1.2
openpyxl: None
xlrd: None
xlwt: None
xlsxwriter: None
lxml: None
bs4: None
html5lib: 1.0.1
sqlalchemy: None
pymysql: None
psycopg2: None
jinja2: 2.10
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None