Boxplot values are sticking to major ticks. How can I get real values?
I try do boxplot my values. Pandas is able to correctly describe the DataFrame but as soon as execute a boxplot it sticks to the major ticks (in this case only int values).

How can I prevent this behaviour and get the real values boxplotted?

```python
x_infos = [[2, 4, 4, 4, 2, 2, 4, 4, 3, 4, 1, 1, 4, 2, 4, 3, 1],
                   [4, 5, 2, 1, 1, 1, 4, 3, 5, 3, 1, 1, 2, 2, 4, 4, 4],
                   [2, 5, 5, 5, 5, 4, 4, 5, 4, 5, 5, 2, 4, 5, 5, 1, 5],
                   [5, 4, 3, 5, 4, 5, 5, 5, 4, 4, 5, 3, 4, 5, 5, 3, 5],
                   [5, 5, 5, 3, 4, 4, 5, 4, 5, 1, 1, 3, 3, 4, 4, 4, 2],
                   [4, 5, 3, 4, 4, 5, 3, 4, 5, 1, 1, 1, 3, 5, 5, 5, 5],
                   [1, 2, 1, 1, 2, 2, 2, 1, 2, 4, 1, 1, 1, 1, 1, 1, 1]]
df_infos = pd.DataFrame(x_infos)
df_infos.T.boxplot(vert=False, grid=True)
plt.show()
```

Results: 

![results](https://abload.de/img/2017-06-29t133738_ipakbrei.png "Boxplot result.")

As you can see here `mean` and `std` are float values. Why does pandas sticks them to major ticks as soon as it comes to boxplot?

```
>>> df_infos.T.describe()

               0          1          2          3          4          5  \
count  17.000000  17.000000  17.000000  17.000000  17.000000  17.000000   
mean    1.470588   3.705882   3.647059   4.352941   4.176471   2.764706   
std     0.799816   1.490164   1.320094   0.785905   1.286239   1.480262   
min     1.000000   1.000000   1.000000   3.000000   1.000000   1.000000   
25%     1.000000   3.000000   3.000000   4.000000   4.000000   1.000000   
50%     1.000000   4.000000   4.000000   5.000000   5.000000   3.000000   
75%     2.000000   5.000000   5.000000   5.000000   5.000000   4.000000   
max     4.000000   5.000000   5.000000   5.000000   5.000000   5.000000   

               6  
count  17.000000  
mean    2.882353  
std     1.218726  
min     1.000000  
25%     2.000000  
50%     3.000000  
75%     4.000000  
max     4.000000 
```