When I run
import pandas as pd
from IPython.display import display
df = pd.DataFrame('a',index=pd.MultiIndex.from_product([[0,1]]*3),columns=['A'])
display(df)
display(df.style.apply(lambda x: ['']*len(x),axis=1))
in Jupyter, I get the following displays (unfortunately I cannot upload screenshots)
0 0 0 a
1 a
1 0 a
1 a
1 0 0 a
1 a
1 0 a
1 a
-
0 a
0
1 a
0
0 a
1
1 a
0 a
0
1 a
1
0 a
1
1 a
1: How do I prevent that change?
2: Since I actually don't dislike the second format completely: How can I fix the backgrounds in the multiindex, so that the boundaries of the groups in each multiindex level become visually clear?
(PS: In my actual code, the lambda returns 'background: green'
for some rows)
from df.style.apply centers multiindex values in display
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