是否可以从熊猫数据透视表的样式（子集）中排除总行（边距）

Question

So for example I ran a .pivot_table call with margins=True. Now I want to run .style.bar on it but the total of each column always sets the max value for the bar so it kinda looks nondescript. Any way around this?

import pandas as pd
import numpy as np

df = pd.DataFrame({"A": ["foo", "foo", "foo", "foo", "foo",
                      "bar", "bar", "bar", "bar"],
                "B": ["one", "one", "one", "two", "two",
                      "one", "one", "two", "two"],
                "C": ["small", "large", "large", "small",
                      "small", "large", "small", "small",
                     "large"],
                "D": [1, 2, 2, 3, 3, 4, 5, 6, 7]})
df = df.pivot_table(values='D', index=['A','B'], columns=['C'], aggfunc=np.sum, margins=True)
df = df.style.bar(subset=['small','large','All'],align='mid',color='red')
from IPython.core.display import HTML
HTML(df.render())        

Basically 7, 6, and 13 should have been the maxes (second row of pivot table)

Answer 1

Much easier than I expected. Just needed to call this before running the style command

df = df.drop(index='All', axis=0)