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Python

def latex_max(data, bgcolor='yellow', fgcolor="black", ignore=['AvgContent',]):
'''
highlight the maximum in a Series or DataFrame
'''
txt = '{:.3f}'
attr = '\textbf{{{}}}'
attr_max = '\colorbox{{' + bgcolor + '}}{{\textcolor{{' + fgcolor + '}}{{{}}}}}'
# print(data)
is_max = data >= data.drop(ignore).max()
mx = data.drop(ignore).max()
real_mx = data.max()
attrs = []
for v in data:
a = txt.format(v)
if v == mx:
a = attr.format(a)
if v == real_mx:
a = attr_max.format(a)
attrs.append(a)
return pd.Series(attrs, index=data.index)
def to_latex(df, *args, **kwargs):
with pd.option_context('display.max_rows', None, 'display.max_columns', None, 'display.max_colwidth', -1):
print(df.apply(lambda x: latex_max(x, *args, **kwargs), axis=1).to_latex(escape=False))