multi index plotting

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I would use a factor plot from seaborn.

Say you have data like this:

import numpy as np
import pandas

import seaborn
seaborn.set(style="ticks") 
np.random.seed(0)

groups = ('Group 1', 'Group 2')
sexes = ('Male', 'Female')
means = ('Low', 'High')
index = pandas.MultiIndex.from_product(
    [groups, sexes, means], 
   names=['Group', 'Sex', 'Mean']
)

values = np.random.randint(low=20, high=100, size=len(index))
data = pandas.DataFrame(data={'val': values}, index=index).reset_index()
print(data)

     Group     Sex  Mean  val
0  Group 1    Male   Low   64
1  Group 1    Male  High   67
2  Group 1  Female   Low   84
3  Group 1  Female  High   87
4  Group 2    Male   Low   87
5  Group 2    Male  High   29
6  Group 2  Female   Low   41
7  Group 2  Female  High   56

You can then create the factor plot with one command + plus an extra line to remove some redundant (for your data) x-labels:

fg = seaborn.factorplot(x='Group', y='val', hue="Mean", 
                        col="Sex", data=data, kind='bar')
fg.set_xlabels('')

Which gives me:

enter image description here

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