Q:

Accessing Pandas DataFrame Objects from a list of DataFrames

I apologize if this question has been answered elsewhere. I havn't been able to find an answer yet through the search here or in the Pandas documentation (quite possible I've just missed it though).
I'm trying to import a html file into python through pandas and am unsure how to obtain the data I need from the result. I'm working on Windows 7 and using Python 3.3 along with Pandas 
Using the read_html function in pandas appears to work and returns a list of dataframes. I'm new to Python (migrating from Matlab) and am unsure how to use a list of dataframes. The documentation describes how to use and manipulate dataframes, but how do I get a dataframe from a list of them?
Some of the other answers on this site suggest using the lxml functions directly to parse html files, however it seems the read_html is working fine in my case.
Here is the code I entered:
import pandas as pd
file = 'F:\\Documents\\Python\\EA Performance Manager\\History.html'
History = pd.read_html(file, header=0, infer_types=False)

Which gives:
>>> History
[<class 'pandas.core.frame.DataFrame'>
Int64Index: 428 entries, 1 to 428
Data columns (total 13 columns): 
Ticket         428  non-null values
Strategy       428  non-null values 
Symbol         428  non-null values
B/S            428  non-null values
Amount (k)     428  non-null values
Open Time      428  non-null values
Open Price     428  non-null values
Close Time     428  non-null values
Close Price    428  non-null values
High/Low       428  non-null values
Rollover       428  non-null values
Gross P/L      428  non-null values
Pips           428  non-null values
dtypes: object(13)]

I need to access the individual data columns for analysis (preferably storing them in array-like strutures - still learning to use python properly, will have to convert the data somehow as infer_type is false, but I think that is another issue). The question is how do I do this?
Note: The History.html file was downloaded from a web-based trading platform as History.xls, only after trying to use the excel reading functions to no avail did I find out it was actually a html file. The content of the file is the history of trade opens and closes for an automated trading system. The first row gives the heading for each column. 

A:

History[0] will give you the first element.
FYI, generally uppercase names are used for classes; variable names are like_this
These are just conventions; History is a legal identifier.

