I think the problem is quite easy to solve, without changing the
documentation behaviour.
The doc says:
Help on built-in function arange in module numpy.core.multiarray:
/
arange(...)
arange([start,] stop[, step,], dtype=None)
Return evenly spaced values within a given interval.
On Thu, Feb 9, 2012 at 12:20 PM, Drew Frank drewfr...@gmail.com wrote:
Eric Firing efiring at hawaii.edu writes:
On 02/08/2012 09:31 PM, teomat wrote:
Hi,
Am I wrong or the numpy.arange() function is not correct 100%?
Try to do this:
In [7]: len(np.arange(3.1, 4.9,
On 02/09/2012 09:20 AM, Drew Frank wrote:
Eric Firingefiringat hawaii.edu writes:
On 02/08/2012 09:31 PM, teomat wrote:
Hi,
Am I wrong or the numpy.arange() function is not correct 100%?
Try to do this:
In [7]: len(np.arange(3.1, 4.9, 0.1))
Out[7]: 18
In [8]: len(np.arange(8.1,
Hi,
On Thu, Feb 9, 2012 at 9:47 PM, Eric Firing efir...@hawaii.edu wrote:
On 02/09/2012 09:20 AM, Drew Frank wrote:
Eric Firingefiringat hawaii.edu writes:
On 02/08/2012 09:31 PM, teomat wrote:
Hi,
Am I wrong or the numpy.arange() function is not correct 100%?
Try to do
On Thursday, February 9, 2012, Sturla Molden stu...@molden.no wrote:
Den 9. feb. 2012 kl. 22:44 skrev eat e.antero.ta...@gmail.com:
Maybe this issue is raised also earlier, but wouldn't it be more
consistent to let arange operate only with integers (like Python's range)
and let linspace
On Thu, Feb 9, 2012 at 3:40 PM, Benjamin Root ben.r...@ou.edu wrote:
On Thursday, February 9, 2012, Sturla Molden stu...@molden.no wrote:
Den 9. feb. 2012 kl. 22:44 skrev eat e.antero.ta...@gmail.com:
Maybe this issue is raised also earlier, but wouldn't it be more
consistent to
On 02/08/2012 09:31 PM, teomat wrote:
Hi,
Am I wrong or the numpy.arange() function is not correct 100%?
Try to do this:
In [7]: len(np.arange(3.1, 4.9, 0.1))
Out[7]: 18
In [8]: len(np.arange(8.1, 9.9, 0.1))
Out[8]: 19
I would expect the same result for each command.
Not after more
