Jerzy et al,

Check out the axvline method (of pyplot or an axes object). You'll
only have to specify the x-value, and it'll won't rescale your y-axis.
-paul

On Thu, Mar 8, 2012 at 4:50 AM, Jerzy Karczmarczuk
<jerzy.karczmarc...@unicaen.fr> wrote:
> Nicolas Rougier, (to Mic, who can't see a histogram and a line
> simultaneously):
>
>> You need to specify the ylim because your height may be larger than your 
>> histogram and then you cannot see it.
> I suspect something similar. The height of matplot_hist.png is 0.040.
> The line goes from 0 to 300. The histogram reduces to the bottom line.
> There is no immediate relation between max(hist_data) and the height of
> a *normed* histogram.
>
> And, please, if you want to point out the difficulties in making your
> programs fulfil your aims, show the REAL, COMPLETE programs, perhaps
> with fake, random data, but without useless : "hist_data=[]"
>
> And don't call a mean: "median" or vice-versa...
>
> Scaling the axes is easy. "ylim" should be changed, use also the
> "extent" parameter (see doc). Drawing axes shifted, as in hist.png is a
> bit more involved, and I don't know if you really want that as well.
>
> Jerzy K.
>
>
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Virtualization & Cloud Management Using Capacity Planning
Cloud computing makes use of virtualization - but cloud computing 
also focuses on allowing computing to be delivered as a service.
http://www.accelacomm.com/jaw/sfnl/114/51521223/
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