On Sat, Sep 21, 2013 at 1:55 PM, Jeremy Hetzel jthet...@gmail.com wrote:
I've added a trapezoidal distribution to numpy.random for consideration,
pull request 3770:
https://github.com/numpy/numpy/pull/3770
Similar to the triangular distribution, the trapezoidal distribution may be
used where
On Sun, Sep 22, 2013 at 1:24 PM, josef.p...@gmail.com wrote:
On Sat, Sep 21, 2013 at 1:55 PM, Jeremy Hetzel jthet...@gmail.com wrote:
I've added a trapezoidal distribution to numpy.random for consideration,
pull request 3770:
https://github.com/numpy/numpy/pull/3770
Similar to the
Hi,
I am getting a strange error when finding the minimum of a matrix. The
weird thing is I get this while running within iPython shell, and if I do
%debug and go to the line where this fails and run the command `a =
np.min(D, axis=0)`, I get no error.
Here is the trace:
draw_lines/main.pyc
On Sun, 2013-09-22 at 10:21 -0400, David Reed wrote:
Hi,
I am getting a strange error when finding the minimum of a matrix.
The weird thing is I get this while running within iPython shell, and
if I do %debug and go to the line where this fails and run the command
`a = np.min(D,
Thanks Sebastian, but still have same error. Also doesn't explain why it
works when I run the same code at the debug prompt. Scratching my head on
this one.
Dave
On Sun, Sep 22, 2013 at 10:42 AM, Sebastian Berg sebast...@sipsolutions.net
wrote:
On Sun, 2013-09-22 at 10:21 -0400, David Reed
Sebastian,
I apologize, that did work. I forgot to autoreload. Can you explain why
the original code did work at the debug prompt?
-Dave
On Sun, Sep 22, 2013 at 10:45 AM, David Reed david.ree...@gmail.com wrote:
Thanks Sebastian, but still have same error. Also doesn't explain why it
On Sun, 2013-09-22 at 10:54 -0400, David Reed wrote:
Sebastian,
I apologize, that did work. I forgot to autoreload. Can you explain
why the original code did work at the debug prompt?
Probably the debug prompt clears the errors or such. There was a bug (it
actually is already fixed in
Is np.random.randint(2, size=N) the fastest way to do this? Thanks!
DG
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On 22 Sep 2013 23:04, David Goldsmith d.l.goldsm...@gmail.com wrote:
Is np.random.randint(2, size=N) the fastest way to do this? Thanks!
Are you concerned about speed or memory use? The operation you show should
already be quite fast. A more memory efficient approach would be to
generate
