Mutiple style for one DataFrame issues-CodePudding

I would like to understand how "style" works in python, I always have the same error : AttributeError: 'Styler' object has no attribute ....

df_x = team_table()

df_x1 = df_x[1:].style.applymap(lambda x: f"background-color: {'#28D1C5' if x > 2 else ''}")\
        .applymap(lambda x: f"background-color: {'#FFC33C' if x < -2 else ''}")\
        .format(precision=2)  

df_x0 = df_x.style.apply(lambda x: x.index.map({"Participants":'background-color: #FFFFA7'}))\
            .format(precision=2)

for now, I manage to have :

the first row in yellow but not the conditional formatting (df_x0)
and the conditional formatting blue and orange cells but the first row disappear because I am obligate to apply style on df_x[1:] otherwise I have TypeError: '>' not supported between instances of 'str' and 'int'. (df_x1)

The result I want:

CodePudding user response：

You could check if the value is a