On Sat, Jun 26, 2010 at 3:18 PM, wrote:
> On Sat, Jun 26, 2010 at 5:12 PM, Vincent Davis
> wrote:
>> On Sat, Jun 26, 2010 at 3:04 PM, wrote:
>>> On Sat, Jun 26, 2010 at 4:58 PM, David Goldsmith
>>> wrote:
On Sat, Jun 26, 2010 at 1:41 PM, Vincent Davis
wrote:
>
> numpy.rand
On Sat, Jun 26, 2010 at 5:12 PM, Vincent Davis wrote:
> On Sat, Jun 26, 2010 at 3:04 PM, wrote:
>> On Sat, Jun 26, 2010 at 4:58 PM, David Goldsmith
>> wrote:
>>> On Sat, Jun 26, 2010 at 1:41 PM, Vincent Davis
>>> wrote:
numpy.random.logseries(p, size=None)
but the parameter
On Sat, Jun 26, 2010 at 3:04 PM, wrote:
> On Sat, Jun 26, 2010 at 4:58 PM, David Goldsmith
> wrote:
>> On Sat, Jun 26, 2010 at 1:41 PM, Vincent Davis
>> wrote:
>>>
>>> numpy.random.logseries(p, size=None)
>>>
>>> but the parameters section,
>>> Parameters:
>>> loc : float
>>> scale : float > 0.
On Sat, Jun 26, 2010 at 4:58 PM, David Goldsmith
wrote:
> On Sat, Jun 26, 2010 at 1:41 PM, Vincent Davis
> wrote:
>>
>> numpy.random.logseries(p, size=None)
>>
>> but the parameters section,
>> Parameters:
>> loc : float
>> scale : float > 0.
>> size : {tuple, int}
>> Output shape. If the given s
On Sat, Jun 26, 2010 at 1:41 PM, Vincent Davis wrote:
> numpy.random.logseries(p, size=None)
>
> but the parameters section,
> Parameters:
> loc : float
> scale : float > 0.
> size : {tuple, int}
> Output shape. If the given shape is, e.g., (m, n, k), then m * n * k
> samples are drawn.
>
> Notice
On Sat, Jun 26, 2010 at 4:47 PM, Vincent Davis wrote:
> On Sat, Jun 26, 2010 at 2:41 PM, Vincent Davis
> wrote:
>> numpy.random.logseries(p, size=None)
>>
>> but the parameters section,
>> Parameters:
>> loc : float
>> scale : float > 0.
>> size : {tuple, int}
>> Output shape. If the given shape
On Sat, Jun 26, 2010 at 2:41 PM, Vincent Davis wrote:
> numpy.random.logseries(p, size=None)
>
> but the parameters section,
> Parameters:
> loc : float
> scale : float > 0.
> size : {tuple, int}
> Output shape. If the given shape is, e.g., (m, n, k), then m * n * k
> samples are drawn.
>
> Notice
numpy.random.logseries(p, size=None)
but the parameters section,
Parameters:
loc : float
scale : float > 0.
size : {tuple, int}
Output shape. If the given shape is, e.g., (m, n, k), then m * n * k
samples are drawn.
Notice that p <> loc and what about scale.
I'll file a ticket unless I am m
