Am 28.1.2013 um 23:15 schrieb Lluís:
Hi,
I have a somewhat convoluted N-dimensional array that contains information of
a
set of experiments.
The last dimension has as many entries as iterations in the experiment (an
iterative application), and the penultimate dimension has as many
Hi,
I need to link the documentation on ctypes and SWIG support for Numpy.
For ctypes I found:
http://www.scipy.org/Cookbook/Ctypes
Which seems to be reasonably up-to-date. There are of course also:
http://docs.scipy.org/doc/numpy/reference/routines.ctypeslib.html
There are also the
Folks,
the doc for `where` says x and y need to have the same shape as condition
http://docs.scipy.org/doc/numpy-dev/reference/generated/numpy.where.html
But surely
where is equivalent to:
[xv if c else yv for (c,xv,yv) in zip(condition,x,y)]
holds as long as len(condition) == len(x) ==
Gregor Thalhammer writes:
Am 28.1.2013 um 23:15 schrieb Lluís:
Hi,
I have a somewhat convoluted N-dimensional array that contains information
of a
set of experiments.
The last dimension has as many entries as iterations in the experiment (an
iterative application), and the
On Tue, 2013-01-29 at 14:53 +0100, Lluís wrote:
Gregor Thalhammer writes:
Am 28.1.2013 um 23:15 schrieb Lluís:
Hi,
I have a somewhat convoluted N-dimensional array that contains information
of a
set of experiments.
The last dimension has as many entries as iterations in the
Sebastian Berg writes:
On Tue, 2013-01-29 at 14:53 +0100, Lluís wrote:
Gregor Thalhammer writes:
Am 28.1.2013 um 23:15 schrieb Lluís:
Hi,
I have a somewhat convoluted N-dimensional array that contains
information of a
set of experiments.
The last dimension has as many
Lluís writes:
Sebastian Berg writes:
On Tue, 2013-01-29 at 14:53 +0100, Lluís wrote:
Gregor Thalhammer writes:
Am 28.1.2013 um 23:15 schrieb Lluís:
Hi,
I have a somewhat convoluted N-dimensional array that contains
information of a
set of experiments.
The last dimension
On Tue, Jan 29, 2013 at 6:16 AM, denis denis-bz...@t-online.de wrote:
Folks,
the doc for `where` says x and y need to have the same shape as
condition
http://docs.scipy.org/doc/numpy-dev/reference/generated/numpy.where.html
But surely
where is equivalent to:
[xv if c else yv for
