matplotlib-users Mailing List for matplotlib

Yannick Copin wrote:
> Hi,
> 
> I take the opportunity of a recent thread about axes label to reiterate 
> a question I posted some time ago:
> 
> Is there a way (best would be a default parameters in matplotlibrc) to 
> automagically plot minor ticks?
I think that what you need to do is to explicitly set both the major and 
the minor locator to a MultipleLocator, but with different bases:
ax.xaxis.set_major_locator(MultipleLocator(base=1))
ax.xaxis.set_minor_locator(MultipleLocator(base=0.5))
This assumes you know enough about the range to know what suitable bases 
are. If this is not the case, then you could use an explicit call to 
MaxNLocator(nminor).bin_boundaries(xmin, xmax) to help you select the 
minor base, and multiply it by 2, or 4, or 5, or whatever you like to 
get the major base. This will work if xmax-xmin is not too far removed 
from xmax and xmin.
Eric
> 
> I *thought* I knew how to add them manually using e.g.
> ax.xaxis.set_minor_locator, but I dont know how to handle them 
> automatically. E.g. my simplest guest was to use LinearLocator:
> 
> x = randn(100)
> y = randn(100)
> plot(x,y,'bo')
> ax = gca()
> ax.xaxis.set_minor_locator(LinearLocator())
> 
> But these minor ticks wont (necessarily) be coherent with the automatic 
> major ticks:
> 
> L = ax.xaxis.get_major_locator()
> l = ax.xaxis.get_minor_locator()
> 
> print L()
> [-4. -3. -2. -1. 0. 1. 2. 3. 4.]
> 
> print l()
> [-4. -3.2 -2.4 -1.6 -0.8 0. 0.8 1.6 2.4 3.2 4. ]
> 
> (see, it will look like |.......:.|.....:...|...:.....|.:...)
> 
> How could I do to have some minor ticks automagically coherent with the 
> automated major ticks?
> 
> Cheers.

Marek Wojciechowski wrote:
> Hi!
> I created scatter3d plot with ca. 2000 points and i'm experiencing very,
> very slow behavior in the interactive window. Rotate/move/zoom options are
> not usable actually. Does anyone else experience this problem?
>
> 
Dear Marek,
The 3D plotting in matplotlib is not going to be fast (with the current 
approach). It is inherently doing the 3D->2D transform in software (and 
in Python, IIRC). Until a major re-write (of this part of the code, at 
least, if not the entire MPL transform system), your best bet for 
interactive 3D plotting is something else, such as tvtk's mlab package.
Cheers!
Andrew

Dear All
I'm happy and proud to announce that a repository for free chemometric 
software (in particular Python oriented) has started.
at www.chemometrics.it
Some time ago I've sent an email to the ICS asking if anybody knows 
the esistence of a python repository for chemometrics,
I had a positive feedback from the community and with the help of other 
chemometricians I've decided to gather free
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In the site you will also find a forum where to discuss
-> theoretical aspects of chemometrics
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-> software request/news
I've tried to link to existing sites that already give a huge contribute 
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but I will be very glad if you would like to contribute with your own links
I hope this initiave could help to spread chemometrics and the use of 
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it also will become a place of discussion for anybody interested.
Obviously we need your help and enthusiasm.
If you would like to upload software links, routines etc, just register 
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The initiave is just at its beginning so feel free to report any 
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Any kind of feedback is appreciated
Since it's a no profit personal initiave (I bought the domain and the 
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I hope that this initiative will be useful ;)
Best Regards
Giorgio Luciano
-- 
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Dr Giorgio Luciano Ph.D.
Di.C.T.F.A. Dipartimento di Chimica e Tecnologie Farmaceutiche e Alimentari
Via Brigata Salerno (ponte) - 16147 Genova (GE) - Italy
email lu...@di...
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