On Wed, Oct 28, 2009 at 9:52 AM, Gökhan Sever wrote:
>
>
> On Tue, Oct 27, 2009 at 12:23 PM, Pierre GM wrote:
>>
>> On Oct 27, 2009, at 7:56 AM, Gökhan Sever wrote:
>> >
>> >
>> > Unfortunately, matplotlib.mlab's prctile cannot handle this division:
>>
>> Actually, the division's OK, it's mlab.pr
On Tue, Oct 27, 2009 at 12:23 PM, Pierre GM wrote:
>
> On Oct 27, 2009, at 7:56 AM, Gökhan Sever wrote:
> >
> >
> > Unfortunately, matplotlib.mlab's prctile cannot handle this division:
>
> Actually, the division's OK, it's mlab.prctile which is borked. It
> uses the length of the input array ins
On Tue, Oct 27, 2009 at 8:25 AM, wrote:
> This should not be the correct results if you use
> scipy.stats.scoreatpercentile,
> it doesn't have correct missing value handling, it treats nans or
> mask/fill values as regular numbers sorted to the end.
>
> stats.mstats.scoreatpercentile is the corr
On Oct 27, 2009, at 7:56 AM, Gökhan Sever wrote:
>
>
> Unfortunately, matplotlib.mlab's prctile cannot handle this division:
Actually, the division's OK, it's mlab.prctile which is borked. It
uses the length of the input array instead of its count to compute the
nb of valid data. The easiest
On Tue, Oct 27, 2009 at 7:56 AM, Gökhan Sever wrote:
> Hello,
>
> Consider this sample two columns of data:
>
> 99. 99.
> 99. 99.
> 99. 99.
> 99. 1693.9069
> 99. 1676.1059
> 99. 1621.5875
> 651.8040 1542.
Hello,
Consider this sample two columns of data:
99. 99.
99. 99.
99. 99.
99. 1693.9069
99. 1676.1059
99. 1621.5875
651.8040 1542.1373
691.0138 1650.4214
678.5558 1710.7311
621.577
