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I am trying to shape a array for use with scipy, sklearn etc.. I have a csv file I am importing using pandas like so - 

df = pd.read_csv('data.csv')

which gives me this data - 

>>print df  

Model | Trim | Cost
6     | 102  | 1200
8     | 105  | 1500
15    | 110  | 3000

I would like to shape it to an array like so 

array = []
array.append(df)
>>print array

[[6,102,1200],[8,105,1500],[15,110,3000]...]

I have tried append, extend, shape, reshape and still cannot seem to get it right.. What is the correct way to accomplish this?

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4  
Possible duplicate of Pandas DataFrame to list – m0nhawk 14 hours ago
    
Do you want a Python list from it or a Numpy array? – Nick T 14 hours ago
2  
^ yeah you're looking for df.values.tolist() – rbierman 14 hours ago
    
Bam thanks! Seems so simple in heinz sight.. dont know how I didnt see that in my search efforts.. If you post as an answer I will accept, Thanks! – Ryan D 14 hours ago
    
@m0nhawk should get accepted answer, I just followed their link – rbierman 14 hours ago

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