Pandas style render set_uuid sets Multiple ids

Code Sample, a copy-pastable example if possible

df = pd.DataFrame({'a': [1, 3, 5, 6], 'b': [2, 4, 12, 21]})
df.style.render(uuid='test')
## or same with df.style.set_uuid('test').render()

<style  type="text/css" >\n</style>  \n<table id="T_test" > \n<thead>    <tr> \n        <th class="blank level0" ></th> \n        <th class="col_heading level0 col0" >a</th> \n        <th class="col_heading level0 col1" >b</th> \n    </tr></thead> \n<tbody>    <tr> \n        <th id="T_test" class="row_heading level0 row0" >0</th> \n        <td id="T_testrow0_col0" class="data row0 col0" >1</td> \n        <td id="T_testrow0_col1" class="data row0 col1" >2</td> \n    </tr>    <tr> \n        <th id="T_test" class="row_heading level0 row1" >1</th> \n        <td id="T_testrow1_col0" class="data row1 col0" >3</td> \n        <td id="T_testrow1_col1" class="data row1 col1" >4</td> \n    </tr>    <tr> \n        <th id="T_test" class="row_heading level0 row2" >2</th> \n        <td id="T_testrow2_col0" class="data row2 col0" >5</td> \n        <td id="T_testrow2_col1" class="data row2 col1" >12</td> \n    </tr>    <tr> \n        <th id="T_test" class="row_heading level0 row3" >3</th> \n        <td id="T_testrow3_col0" class="data row3 col0" >6</td> \n        <td id="T_testrow3_col1" class="data row3 col1" >21</td> \n    </tr></tbody> \n</table> 

Problem description

I am told that a css id should be unique and therefore, when <table id="T_test" > and <th id="T_test"...> in the above HTML output have the same ids, this breaks my css and causes the settings on my ids to be ignored.

Output of pd.show_versions()

INSTALLED VERSIONS ------------------ commit: None python: 3.5.2.final.0 python-bits: 64 OS: Linux OS-release: 3.16.0-4-amd64 machine: x86_64 processor: byteorder: little LC_ALL: None LANG: en_GB.UTF-8 LOCALE: en_GB.UTF-8

pandas: 0.20.2 pytest: 2.9.2 pip: 9.0.1 setuptools: 27.2.0 Cython: 0.24.1 numpy: 1.12.1 scipy: 0.19.0 xarray: None IPython: 5.1.0 sphinx: 1.4.6 patsy: 0.4.1 dateutil: 2.6.0 pytz: 2017.2 blosc: None bottleneck: 1.2.0 tables: 3.4.2 numexpr: 2.6.2 feather: None matplotlib: 2.0.2 openpyxl: 2.3.2 xlrd: 1.0.0 xlwt: 1.1.2 xlsxwriter: 0.9.3 lxml: 3.6.4 bs4: 4.5.1 html5lib: 0.999999999 sqlalchemy: 1.0.13 pymysql: 0.7.9.None psycopg2: None jinja2: 2.8 s3fs: None pandas_gbq: None pandas_datareader: None

[jreback]

start here: http://pandas.pydata.org/pandas-docs/stable/contributing.html

create a test (e.g. the above), and see it fail. provide a fix, see your test pass.

[ri938]

Submitted pull request for fix for this issue.