Pandas df.read_html dropping duplicate tables in html
#### Code Sample, a copy-pastable example if possible

```python
# Your code here
import pandas as pd
tables = pd.read_html('D:\\myhtml.html', header=0)
print (tables)
```
#### Problem description

[The html code looks like below. Note simple table scrapping looks good but on this one exactly it is not working as expected
[The html code](https://drive.google.com/file/d/0B5HhBthFvDrtMWNtRDBhS1lQcGM/view?usp=sharing)

I have a html file locally with multiple tables. Sometimes the content of the table is exactly the same including headers. While reading it through pandas I have noticed that when two tables are exactly identical it will drop the second one as if it is not there. When I change one <td>Value</td> value in the second table it will read the second table also and display.

How can i stop pandas doing that and read every table. Or is it a feature or bug 
Attaching the exact HTML file in link. If you see there are 4 tables. Still I get only 3 tables values. The big 2 two tables have exact same data and it is publishing only first one

environment : Anaconda 3.6

]

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#### Expected Output

Ideally it should show 4 tables. Showing only 3

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

<details>

[paste the output of ``pd.show_versions()`` here below this line]
INSTALLED VERSIONS
------------------
commit: None
python: 3.6.0.final.0
python-bits: 64
OS: Windows
OS-release: 7
machine: AMD64
processor: Intel64 Family 6 Model 60 Stepping 3, GenuineIntel
byteorder: little
LC_ALL: None
LANG: en
LOCALE: None.None

pandas: 0.19.2
nose: 1.3.7
pip: 9.0.1
setuptools: 27.2.0
Cython: 0.25.2
numpy: 1.11.3
scipy: 0.18.1
statsmodels: 0.6.1
xarray: None
IPython: 5.1.0
sphinx: 1.5.1
patsy: 0.4.1
dateutil: 2.6.0
pytz: 2016.10
blosc: None
bottleneck: 1.2.0
tables: 3.2.2
numexpr: 2.6.1
matplotlib: 2.0.0
openpyxl: 2.4.1
xlrd: 1.0.0
xlwt: 1.2.0
xlsxwriter: 0.9.6
lxml: 3.7.2
bs4: 4.6.0
html5lib: 0.9999999
httplib2: None
apiclient: None
sqlalchemy: 1.1.5
pymysql: None
psycopg2: None
jinja2: 2.9.4
boto: 2.45.0
pandas_datareader: None
</details>
