Is it possible to hierarchically designate the line chart of matplotlib (pyplot)?

Question

I managed to make the following bar graph using matplotlib.pyplot.

The plot comes from an aggregated PANDAS DataFrame printed below. Notice that each column in the line chart corresponds to a value in the mean column. Also note that the values ​​are not zero, but PANDAS outputs 0 and -0 when the floats are very small.

 Group Local Global Attn mean ASub LD GD Attn -0 Dist -0 GS Attn -0 Dist -0 LS GD Attn -0 Dist -0 GS Attn -0 Dist -0 DSub LD GD Attn -0 Dist 0 GS Attn -0 Dist -0 LS GD Attn -0 Dist -0 GS Attn -0 Dist -0 

I would like to mark the x axis of my column in hierarchical order, corresponding to the methods above. In other words, the left half of the x axis corresponds to the ASub group. The left half of the ASub group corresponds to the LD level of the Local factor, etc ...

Can this be done?

EDIT:

I think I should probably clarify what I want. I would like there to be a few shortcuts that go from most general (groups) to most specific (Attn), like the organization located to the left of the four columns of the DataFrame above.

Answer 1

On the main thing this is implemented (I used random data for "mean"), see the image below. If you prefer not to update, you can also install it manually:

 In [143]: ax = df.plot(kind='bar') In [144]: ax.set_xticklabels(['|'.join(t) for t in df.index]) 

EDIT:

  In [167]: ax = df.plot(kind='bar') In [168]: ax.set_xticklabels(df.index.format(names=False))