Q:

How to plot multiple rows on Pandas? 

Say I have the following pandas dataframe:
In[114]: df
Out[114]: 
     0-10%  11-20%  21-30%  31-40%  41-50%  51-60%  61-70%  71-80%  81-90%  \
f    0.186   3.268   3.793   4.554   6.421   6.345   7.383   8.476   8.968   
l    1.752   2.205   2.508   2.866   3.132   3.157   3.724   4.073   4.905   

     91-100%  
f     12.447  
l      8.522

and say I want to produce a barplot where I have the columns as categories on the x axis and, for each category, two bars, one for f and one for l, so to make comparisons. 
How to do this in order to avoid the bars being stacked? 
My attempt produces stacked bars and an offset in terms of x labels:
x = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
labels = ['0-10%','11-20%','21-30%','31-40%','41-50%','51-60%','61-70%','71-80%','81-90%','91-100%']
row1 = df.iloc[0]
row1.plot(kind='bar',title='Binned comparison', color='r',stacked=False)
row2 = df.iloc[1]
row2.plot(kind='bar',title='Binned comparison', color='k',stacked=False)
plt.xticks(x,labels, rotation='horizontal',fontsize=8)

A:

you can plot.bar on the transpose:
df.T.plot.bar()

