我正面临这一职位上所列的准确问题()。 我的表象是多功能数据基(潘达斯)的顶峰。
但是,当我尝试解决办法时,似乎只强调每个栏的最低点。 为什么?
My output for reference.
它再次强调了整个一栏,而不是每个次指数的中值。
图2. 甲 of......最后一条的轴心参数需要平等 任何这样的法典都不应如此。
def highlight_min(data):
color= red
attr = background-color : {} .format(color)
if data.ndim == 1: # Series from .apply(axis=0) or axis=1
is_min = data == data.min()
return [attr if v else for v in is_min]
else:
is_min = data.groupby(level=0).transform( min ) == data
return pd.DataFrame(np.where(is_min, attr, ),
index=data.index, columns=data.columns)
df.style.apply(highlight_min,axis=None)
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