Sorts data frame by date column with different format
#### Code Sample, a copy-pastable example if possible

![image](https://user-images.githubusercontent.com/43502888/45920742-87720a00-bec6-11e8-99e3-58e410366acd.png)

```python
import pandas as pd
Sales=pd.read_csv("E:\\Sales_sample.csv")

Sales.sort_values(by="dateSold")


```
#### Problem description
I have data frame with date column and the column is in different format like dd-mm-yyyy, mm/dd/yyyy etc. I want to sort the date frame with that date column

By default the column is an object type and I am getting wrong result

#### Expected Output
23269    06-03-2012
23265    08-05-2012
23263    07-06-2012
23270    06-07-2012
23271    27-07-2012 (this date is in 7/27/2012 format)
......
.......

### Output of ``pd.show_versions()``

<details>

INSTALLED VERSIONS
------------------
commit: None
python: 3.6.5.final.0
python-bits: 64
OS: Windows
OS-release: 8.1
machine: AMD64
processor: Intel64 Family 6 Model 69 Stepping 1, GenuineIntel
byteorder: little
LC_ALL: None
LANG: en
LOCALE: None.None

pandas: 0.23.0
pytest: 3.5.1
pip: 10.0.1
setuptools: 39.1.0
Cython: 0.28.2
numpy: 1.14.3
scipy: 1.1.0
pyarrow: None
xarray: None
IPython: 6.4.0
sphinx: 1.7.4
patsy: 0.5.0
dateutil: 2.7.3
pytz: 2018.4
blosc: None
bottleneck: 1.2.1
tables: 3.4.3
numexpr: 2.6.5
feather: None
matplotlib: 2.2.2
openpyxl: 2.5.3
xlrd: 1.1.0
xlwt: 1.3.0
xlsxwriter: 1.0.4
lxml: 4.2.1
bs4: 4.6.0
html5lib: 1.0.1
sqlalchemy: 1.2.7
pymysql: None
psycopg2: None
jinja2: 2.10
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None

</details>
