pandas styling add attribute for cell/column

Question

I need to color specific columns in the table and convert it to html. I know it's possible to apply pandas styling to required subsets of data; for example, the next code snippet seems to work just fine. But the problem is that I need to set the same styling using bgcolor html attribute, not CSS. And I have found only Styler.set_table_attributes, which doesn't really help in my case. My current approach: I'm converting the html obtained from pandas to BeautifulSoup and adding attributes there, but it's not really convenient.

import numpy as np
import pandas as pd

np.random.seed(0)
df = pd.DataFrame(np.random.randn(10,4), columns=['A','B','C','D'])
st = df.style

def highlight(c):    
    color = 'green' if (c > 0) else 'red'
    return f'background-color:{color}'

st.applymap(highlight, subset=['C', 'D'])

with open('out.html','w') as f:
        f.write(str(st.to_html()))