On 2/14/11 2:39 PM, Bryan Woods wrote:
> Thanks for your reply. Unfortunately it is not working that simply.
>
> This tells me that "only integer arrays with one element can be
> converted to an index"
Examples, example, examples!
I think this is what you want:
In [15]: land_cover
Out[15]:
array
On Mon, 14 Feb 2011 17:21:07 -0500, Bryan Woods wrote:
[clip]
> roughness = np.array(landcover.shape,dtype='f')
np.zeros(landcover.shape, dtype='f')
___
NumPy-Discussion mailing list
NumPy-Discussion@scipy.org
http://mail.scipy.org/mailman/listinfo/nump
On Mon, Feb 14, 2011 at 16:39, Bryan Woods wrote:
> Thanks for your reply. Unfortunately it is not working that simply.
>
> This tells me that "only integer arrays with one element can be converted to
> an index"
>
> roughness and landcover are identically shaped 2D arrays. z0_legend in a 1D
> loo
Thanks for your reply. Unfortunately it is not working that simply.
This tells me that "only integer arrays with one element can be
converted to an index"
roughness and landcover are identically shaped 2D arrays. z0_legend in a
1D look-up table. I assume the error here comes from trying to in
On Mon, Feb 14, 2011 at 16:21, Bryan Woods wrote:
> I have spent over an hour now trying to figure out what I thought would be a
> really basic conditional array assignment. I am very new to python and am in
> need of help.
>
> I have a 2D integer array of land cover classes and a 1D array with a
I have spent over an hour now trying to figure out what I thought would
be a really basic conditional array assignment. I am very new to python
and am in need of help.
I have a 2D integer array of land cover classes and a 1D array with a
roughness value for each class. I am trying to create a
___
NumPy-Discussion mailing list
NumPy-Discussion@scipy.org
http://mail.scipy.org/mailman/listinfo/numpy-discussion
On Mon, 14 Feb 2011, Stéfan van der Walt wrote:
Hi Robert
On Mon, Jan 31, 2011 at 2:39 PM, Robert Cimrman wrote:
It seems to me, that an additional parameter to loadtxt(), say "nrows" or
"numrows", would do the job, so that the function does not try reading the
entire file. Another possibilit
On 2/14/11 8:28 AM, Stéfan van der Walt wrote:
> You can always read chunks of the file into StringIO objects, and pass
> those into loadtxt.
true, but there isn't any single method for loading n lines of a file
into a StringIO object, either. I"ve always thought that
file.readlines() should tak
Hi Robert
On Mon, Jan 31, 2011 at 2:39 PM, Robert Cimrman wrote:
> It seems to me, that an additional parameter to loadtxt(), say "nrows" or
> "numrows", would do the job, so that the function does not try reading the
> entire file. Another possibility would be to raise an exception as it
> is no
Thank you to Travis for taking time to speak about NumPy on rce-cast.com
You can find the interview and links to other shows at:
http://www.rce-cast.com/Podcast/rce-48-numpy.html
Thank you!
Brock Palen
www.umich.edu/~brockp
Center for Advanced Computing
bro...@umich.edu
(734)936-1985
___
11 matches
Mail list logo
