Re: [Numpy-discussion] Question about numpy.ma masking

On 05/09/2010 09:01 AM, Gökhan Sever wrote: > > > On Fri, May 7, 2010 at 3:28 PM, Pierre GM > wrote: > > On May 4, 2010, at 8:38 PM, Gökhan Sever wrote: > > Hello, > > > > I have the following arrays read as masked array. > > > > I[10]: bas

Re: [Numpy-discussion] Question about numpy.ma masking

On Fri, May 7, 2010 at 3:28 PM, Pierre GM wrote: > On May 4, 2010, at 8:38 PM, Gökhan Sever wrote: > > Hello, > > > > I have the following arrays read as masked array. > > > > I[10]: basic.data['Air_Temp'].mask > > O[10]: array([ True, False, False, ..., False, False, False], dtype=bool) > > > >

Re: [Numpy-discussion] pareto docstring

On Sun, May 9, 2010 at 4:49 AM, wrote: > On Sun, May 9, 2010 at 1:01 AM, T J wrote: > > The docstring for np.pareto says: > > > >This is a simplified version of the Generalized Pareto distribution > >(available in SciPy), with the scale set to one and the location set > to > >zero. M

Re: [Numpy-discussion] Question about numpy.ma masking

On May 4, 2010, at 8:38 PM, Gökhan Sever wrote: > Hello, > > I have the following arrays read as masked array. > > I[10]: basic.data['Air_Temp'].mask > O[10]: array([ True, False, False, ..., False, False, False], dtype=bool) > > [12]: basic.data['Press_Alt'].mask > O[12]: False > > I[13]: len

Re: [Numpy-discussion] Datetime overflow error, attn Stefan.

Sat, 08 May 2010 18:44:59 -0600, Charles R Harris wrote: [clip] > Because window's longs are always 32 bit, I think this is a good > indication that somewhere a long is being used instead of an intp. The test itself used 32-bit integers. Fix'd. Pauli _

Re: [Numpy-discussion] pareto docstring

On Sun, May 9, 2010 at 1:01 AM, T J wrote: > The docstring for np.pareto says: > >    This is a simplified version of the Generalized Pareto distribution >    (available in SciPy), with the scale set to one and the location set to >    zero. Most authors default the location to one. > > and also: