Re: [Matplotlib-users] load function

[Humufr <hu...@ya...>]

Yes thank you John. It's perfect. Sorry for this but I pass so many 
times to understand the problem that I was thinking that another 
beginner will have the same problem than me.

Nicolas

John Hunter wrote:

>>>>>>"Stephen" == Stephen Walton <ste...@cs...> writes:
>>>>>>            
>>>>>>
>
>    Stephen> Humufr wrote:
>    >> I agree with you but in the load function documentation I can
>    >> read this:
>    >> 
>    >> x,y = load('test.dat') # data in two columns
>
>    Stephen> The documentation for load is correct.  Consider
>
>    Stephen> A=load('test.dat')
>
>    Stephen> If 'test.dat' has 17 rows and 2 columns, A.shape will be
>    Stephen> (17,2), "print A" will print an array with 17 rows and 2
>    Stephen> columns, and so on.  But
>
>    Stephen> x,y=A
>
>    Stephen> will not work, because tuple unpacking of numarray arrays
>    Stephen> goes by rows, not by columns.
>
>So the doc line with the tuple unpacking is *incorrect*, because tuple
>unpacking will fail w/o the transpose.  I modified the docs to read
>
>    Example usage:
>
>    X = load('test.dat')  # data in two columns
>    t = X[:,0]
>    y = X[:,1]
>
>    Alternatively, you can do
>
>    t,y = transpose(load('test.dat')) # for  two column data
>
>Everybody happy with that?
>
>JDH
>  
>