有一个问题，您需要将值转换为浮点数以确保正确max，因为获取字符串的最大值-9更像是1：
def highlight_max(data, color='yellow'):
'''
highlight the maximum in a Series or DataFrame
'''
attr = 'background-color: {}'.format(color)
#remove % and cast to float
data = data.replace('%','', regex=True).astype(float)
if data.ndim == 1: # Series from .apply(axis=0) or axis=1
is_max = data == data.max()
return [attr if v else '' for v in is_max]
else: # from .apply(axis=None)
is_max = data == data.max().max()
return pd.DataFrame(np.where(is_max, attr, ''),
index=data.index, columns=data.columns)
：
dfPercent = pd.DataFrame({'2014/2015':['10.3%','9.7%','9.2%'],
'2015/2016':['4.8%','100.8%','9.7%']})
print (dfPercent)
2014/2015 2015/2016
0 10.3% 4.8%
1 9.7% 100.8%
2 9.2% 9.7%
：
dfPercent.style.apply(highlight_max)
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