Hi,

a strong advice from someone who is using excel format with tons of data is
to save them in csv and then import in Sqlite.

Excel messes up the data types and gives a lot of troubles with numbers.
Sqlite is fast and data are secure. 
The power of this system is that you can query your data and plot what you
need for example.

I can share with you my script to import from csv to sqlite if you want.


Jahan Mohiuddin wrote:
> 
> Hi,
> 
> I am an novice-intermediate user of python (I took a 1 semester course  
> in scientific programming with python).  I wanted to know what the  
> best way is to manipulate, analyze, and plot Microsoft Excel data.   
> The methods I've looked into:
> 
> 1.  Save data in CSV file and use csv.dictreader to create a  
> dictionary.  I actually couldn't figure this one out.
> 
> 2.  Read the CSV and extract the numerical data into an array of  
> floats so I can manipulate the data.  This is alright but then I lose  
> the text for the header row.
> 
> 
> 
> I have a fairly large biological data set, but I also really just want  
> to practice with a good method.  Any advice is much appreciated.   
> Thanks!
> 
> 
> 
> -Jahan
> 
> 
> Jahan Mohiuddin
> University of North Carolina at Chapel Hill, 2010
> Cell: (516) 480-4825
> 
> 
> 
> 
> 
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standards for HTML5, CSS3, SVG 1.1,  ECMAScript5, and DOM L2 & L3.
Spend less time writing and  rewriting code and more time creating great
experiences on the web. Be a part of the beta today.
http://p.sf.net/sfu/beautyoftheweb
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