dataframe index not showing up bold after conda update

[rdmtinez]

import numpy as np
import pandas as pd
%config InteractiveShell.ast_node_interactivity='all'

df = pd.DataFrame(np.random.randint(0,100,size=(100, 4)), columns=list('ABCD'))

df

Problem description

During my work today I decided to update conda when I started getting some random errors which I can't recall anymore. After the update I noticed that the indeces in the printouts of my dataframes were no longer bold. Its not a big deal, buts it is visually unappealing. If possible I'd like to fix this (if it is an issue with pandas), but I've never contributed a fix to anything before :) and I don't even know where to start hunting for the bug.

Expected Output

Indeces should be bold, just like column names---at least they've always were before the conda update.

Output of pd.show_versions()

[paste the output of pd.show_versions() here below this line]

INSTALLED VERSIONS

commit : None
python : 3.7.4.final.0
python-bits : 64
OS : Linux
OS-release : 5.0.0-29-generic
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8

pandas : 0.25.1
numpy : 1.16.5
pytz : 2019.2
dateutil : 2.8.0
pip : 19.2.3
setuptools : 41.2.0
Cython : 0.29.13
pytest : 5.1.2
hypothesis : None
sphinx : 2.2.0
blosc : None
feather : None
xlsxwriter : 1.2.1
lxml.etree : 4.4.1
html5lib : 1.0.1
pymysql : None
psycopg2 : None
jinja2 : 2.10.1
IPython : 7.8.0
pandas_datareader: None
bs4 : 4.8.0
bottleneck : 1.2.1
fastparquet : None
gcsfs : None
lxml.etree : 4.4.1
matplotlib : 3.1.1
numexpr : 2.7.0
odfpy : None
openpyxl : 2.6.3
pandas_gbq : None
pyarrow : None
pytables : None
s3fs : None
scipy : 1.3.1
sqlalchemy : 1.3.8
tables : 3.5.2
xarray : None
xlrd : 1.2.0
xlwt : 1.3.0
xlsxwriter : 1.2.1

[WillAyd]

I'm not sure pandas would have done this (AFAIK something like this was asked in #18066 but never implemented) - are you sure it wasn't a third party library?

[rdmtinez]

I looked up information about styling which is what that thread is about, but I'm interested in styling specific values or the index itself besides having it bold. I imagine I can do it myself with the resources I found online, but that would mean extra lines of code every time i start a new notebook. I also don't think it was done in pandas, but I'm not sure where to begin looking for the 'bug'. I can't find the pandas resource for manipulating the DataFrame construction.... anyone, anyone

[alan-barzilay]

I'm having the same problem on my clean OS install. I'm currently in a fresh venv virtual environment and installed everything through pip.
Would also love to help but not sure where to start hunting for this 'bug'

Details

INSTALLED VERSIONS

commit : None
python : 3.6.8.final.0
python-bits : 64
OS : Linux
OS-release : 4.15.0-65-generic
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8

pandas : 0.25.1
numpy : 1.17.2
pytz : 2019.2
dateutil : 2.8.0
pip : 9.0.1
setuptools : 39.0.1
Cython : None
pytest : None
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : 0.999999999
pymysql : None
psycopg2 : None
jinja2 : None
IPython : 7.8.0
pandas_datareader: None
bs4 : None
bottleneck : None
fastparquet : None
gcsfs : None
lxml.etree : None
matplotlib : 3.1.1
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : None
pytables : None
s3fs : None
scipy : 1.3.1
sqlalchemy : None
tables : None
xarray : None
xlrd : None
xlwt : None
xlsxwriter : None

[jolespin]

I'm also having this same problem. I'll post my environment tomorrow when I get to lab.

[rdmtinez]

After I opened this issue, I had to go back and reinstall my environment to include updates. I'm fairly certain there were some dependency issues, but I just didn't have the time to hunt the bug. I'm closing this issue as I don't think its due to pandas.