Try column_stack, and also try the "See also" parts of the Numpy Examples List. very handy for finding things like this. http://www.scipy.org/Numpy_Example_List
--bb On 3/23/07, Brian Blais <[EMAIL PROTECTED]> wrote: > Hello, > > I'd like to concatenate a couple of 1D arrays to make it a 2D array, with two > columns > (one for each of the original 1D arrays). I thought this would work: > > > In [47]:a=arange(0,10,1) > > In [48]:a > Out[48]:array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9]) > > In [49]:b=arange(-10,0,1) > > In [51]:b > Out[51]:array([-10, -9, -8, -7, -6, -5, -4, -3, -2, -1]) > > In [54]:concatenate((a,b)) > Out[54]: > array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, -10, -9, -8, > -7, -6, -5, -4, -3, -2, -1]) > > In [55]:concatenate((a,b),axis=1) > Out[55]: > array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, -10, -9, -8, > -7, -6, -5, -4, -3, -2, -1]) > > > but it never expands the dimensions. Do I have to do this... > > In [65]:concatenate((a.reshape(10,1),b.reshape(10,1)),axis=1) > Out[65]: > array([[ 0, -10], > [ 1, -9], > [ 2, -8], > [ 3, -7], > [ 4, -6], > [ 5, -5], > [ 6, -4], > [ 7, -3], > [ 8, -2], > [ 9, -1]]) > > > ? > > I thought there would be an easier way. Did I overlook something? > > thanks, > > Brian Blais > > -- > ----------------- > > [EMAIL PROTECTED] > http://web.bryant.edu/~bblais > > > _______________________________________________ > Numpy-discussion mailing list > Numpy-discussion@scipy.org > http://projects.scipy.org/mailman/listinfo/numpy-discussion > _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion