On 11/29/06, Mathew Yeates <[EMAIL PROTECTED]> wrote:
whoa. I just found out that A=A.transpose() does nothing but change A's flags from C_CONTIGUOUS to F_CONTIGUOUS!! Okay, so heres the question ...... I am reading data into the columns of a matrix. In order to speed this up, I want to read values into the rows of a matrix and when I am all done, do a transpose. Whats the best way?
And if you just want to read in the data from the file in one big contiquous binary chunk:
a = fromfile("foo.data", dtype=whatever).reshape(m,n)
Then you can make a transposed copy of a. Or even a transposed view, depending on how you want to use it. Chuck
_______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
