Using the new pandas release (0.14.0 or later) the below code will work. To create the two axis I have manually created two matplotlib axes objects (`ax`

and `ax2`

) which will serve for both bar plots.

When plotting a Dataframe you can choose the axes object using `ax=...`

. Also in order to prevent the two plots from overlapping I have modified where they align with the `position`

keyword argument, this defaults to `0.5`

but that would mean the two bar plots overlapping.

```
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from io import StringIO
s = StringIO(""" amount price
A 40929 4066443
B 93904 9611272
C 188349 19360005
D 248438 24335536
E 205622 18888604
F 140173 12580900
G 76243 6751731
H 36859 3418329
I 29304 2758928
J 39768 3201269
K 30350 2867059""")
df = pd.read_csv(s, index_col=0, delimiter=" ", skipinitialspace=True)
fig = plt.figure() # Create matplotlib figure
ax = fig.add_subplot(111) # Create matplotlib axes
ax2 = ax.twinx() # Create another axes that shares the same x-axis as ax.
width = 0.4
df.amount.plot(kind='bar', color="red", ax=ax, width=width, position=1)
df.price.plot(kind='bar', color="blue", ax=ax2, width=width, position=0)
ax.set_ylabel('Amount')
ax2.set_ylabel('Price')
plt.show()
```