Re: [Matplotlib-users] load function

[John H. <jdh...@ac...>]

>>>>> "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