How to use pandas Styler to escape percentage for LaTeX

I would like to export a dataframe containing percentage values like

df = pd.DataFrame([0.2323, 0.5254, 1], columns=['c'])

to LaTeX which can be done by

df.style.format('{:.2%}').to_latex()

This returns

\begin{tabular}{lr}
 & c \\
0 & 23.23% \\
1 & 52.54% \\
2 & 100.00% \\
\end{tabular}

which is obviously no valid TeX code since % is not properly escaped. How do I do that?

df.to_latex(float_format='{:0.2%}'.format)

would work but I get a deprecation warning:

FutureWarning: In future versions `DataFrame.to_latex` is expected to utilise the base implementation of `Styler.to_latex` for formatting and rendering. The arguments signature may therefore change. It is recommended instead to use `DataFrame.style.to_latex` which also contains additional functionality.

Solution

I found a wonderful tool that does what I need wonderfully: tabulate

df = pd.DataFrame([0.2323, 0.5254, 1], columns=['c'])
print(tabulate(df, intfmt=",", floatfmt='.2%', tablefmt='latex', headers=df.columns))

prints

\begin{tabular}{rr}
\hline
    &       c \\
\hline
  0 &  23.23\% \\
  1 &  52.54\% \\
  2 & 100.00\% \\
\hline
\end{tabular}

Yet another option could be texttable (or its latex-focused extensions latextable), but I haven't checked them yet.