You can format your own DataFrames using the attribute style(entered since pandas v0.17.1). An example of what you want:
df = pd.DataFrame(np.random.randn(5,5), columns=list('ABCDE'))
def highlight_vals(val, min=-0.5, max=0.5, color='green'):
if min < val < max:
return 'background-color: %s' % color
else:
return ''
df.style.applymap(highlight_vals, subset=['B', 'C', 'D'])
gives you

See this laptop for a complete example: http://nbviewer.jupyter.org/gist/jorisvandenbossche/8b74f71734cd6d75a58c5a048261a7a7
. , : http://pandas.pydata.org/pandas-docs/stable/style.html
, :
with open('filename.html', 'w') as f:
f.write(df.style.applymap(highlight_vals, subset=['B', 'C', 'D'])
.set_table_attributes("border=1").render())