Hi,
Anybody knows a way to get a str object (bytes for Python = 2.6) out of
a buffer object (i.e. the .data attribute of ndarrays) without copying
data?
I need this for avoid creating a new function that deals with buffer
objects (instead of reusing the one for str/byte objects that I already
As str objects are supposed to be immutable, I think anything
official that makes a string from a numpy array is supposed to copy
the data. But I think you can use ctypes to wrap a pointer and a
length as a python string.
Zach
On Sep 27, 2010, at 8:28 AM, Francesc Alted wrote:
Hi,
On Mon, Sep 27, 2010 at 12:07 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Sun, Sep 26, 2010 at 11:03 PM, Ben Longstaff longstaff2...@gmail.com
wrote:
Warning Message
C:\Python26\lib\site-packages\scipy\io\matlab\mio5.py:90:
RuntimeWarning:
__builtin__.file size
Friedrich Romstedt wrote:
2010/9/23 Dag Sverre Seljebotn da...@student.matnat.uio.no:
Essentially, perhaps what you have sketched up + an ability to extend
the graph with object conversion routes would be perfect for my own
uses. So you can define a function with overloads (A, B) and (A,
A Monday 27 September 2010 15:04:14 Zachary Pincus escrigué:
As str objects are supposed to be immutable, I think anything
official that makes a string from a numpy array is supposed to copy
the data. But I think you can use ctypes to wrap a pointer and a
length as a python string.
Yeah,
In numpy 1.5.0, I got the following for mean of an empty sequence (or array):
In [21]: mean([])
Warning: invalid value encountered in double_scalars
Out[21]: nan
Is this behaviour expected ?
Also, would it be possible to have more explicit warning messages about the
problem being related numpy
On Mon, Sep 27, 2010 at 17:51, Peter Butterworth butt...@gmail.com wrote:
In numpy 1.5.0, I got the following for mean of an empty sequence (or array):
In [21]: mean([])
Warning: invalid value encountered in double_scalars
Out[21]: nan
Is this behaviour expected ?
np.sum([]) / len([]) -
