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 va
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 va
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,
Hmm
I'm trying to duplicate the behavior with a simple program
-
import numpy
datasize=5529000
numrows=121
fd=open("biggie","w")
fd.close()
big=numpy.memmap("biggie",mode="readwrite",
shape=(numrows,datasize),dtype=numpy.float32)
c=numpy.ones(shape=(datasize,),dtype=numpy.float32)
for r
Mathew Yeates wrote:
> Hi
>
> I have a line in my program that looks like
> outarr[1,:] = computed_array
> where outarr is a memory mapped file. This takes forever.
>
> I checked and copying the data using "cp" at the command line takes 1
> or 2 seconds. So the problem can't be attributed simp
Hi
I have a line in my program that looks like
outarr[1,:] = computed_array
where outarr is a memory mapped file. This takes forever.
I checked and copying the data using "cp" at the command line takes 1
or 2 seconds. So the problem can't be attributed simply to disk i/o. Is
it because the el
