Thank you for the response once again.
That's why I am suspecting actually the raw data. At the problem points
there might be not included values or missing values where not exist on the
normal plots.
I will find the original data and feed boxplot with it to see how it effects
the final result.
Gökhan
On Wed, May 13, 2009 at 12:58 PM, Josh Hemann <jhem...@vni.com> wrote:
>
> Thanks for sending the data and code. After playing around some I still
> don't
> have a confident guess as to the problem (or solution), but here is what I
> would look at more...
>
> I issued plot(d[i][8:]) for i 0,1,...11 and looked at the shape of the
> lines. For the two problem boxes, the plots of the associated data have
> steep jumps between the 5th and 25th percentiles, when compared with the
> data associated with the "good" boxes. So, what you have calculated as the
> 5th and 25th percentiles are not necessarily calculated by boxplot as such
> because boxplot does not know that you are handing it percentiles of your
> underlying data: boxplot actually computes the percentiles assuming that
> the
> input _is_ the raw data. I would guess that if you gave boxplot the raw
> data
> you would not see this issue of missing whiskers.
> --
> View this message in context:
> http://www.nabble.com/One-more-question-regarding-to-boxplotting-tp23508395p23526653.html
> Sent from the matplotlib - users mailing list archive at Nabble.com.
>
>
>
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