[Matplotlib-users] callback ideas (artist.Artist, mostly)
Would others find it useful to have most/all of the artist.Artist subclasses updated to use the new (weak-ref) cbook.CallbookRegistry callbacks? I'm working on a tool to tweak matplotlib figure styles/colors, etc, and I find it very useful to selectively enable "auto-updating" in my own toolkit such that the figure is updated on each change that I make. Although I'm able to do this in my own toolkit's wrapper layer, I would rather do it within matplotlib itself. My thoughts are that at the least, I'd want parents to be able to subscribe to signals from children, and possibly vice-versa. Then at the top, have the Figure optionally add it's draw() method as a callback to it's child axes/whatever instances. I'll probably start working on some patches for own use anyway, but if there's interest, I'll keep them polished/tested and submit them for review. -- Nokia and AT&T present the 2010 Calling All Innovators-North America contest Create new apps & games for the Nokia N8 for consumers in U.S. and Canada $10 million total in prizes - $4M cash, 500 devices, nearly $6M in marketing Develop with Nokia Qt SDK, Web Runtime, or Java and Publish to Ovi Store http://p.sf.net/sfu/nokia-dev2dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] little help with timeseries and spans
I need help finding the right path to accomplish some custom "visual masking" and corresponding array-mask construction: For much of what I need, scikits.timeseries initially sounded useful but either I misunderstand how to use it, or it just can't do most of what I want, which is: 1: create/apply a mask that invalidates/masks the data that is outside normal business hours; i.e. mask out the weekends and anything between 18:00 and 06:00 the next day. 2: The second task is to create vertical spans in the plot to show the mask visually. So, for #2 what I need is essentially two collections of axvspan patches: Axvspan collection 'a' begins at 17h00 each Friday, and ends at 09h00 each Monday. Collection 'b' begins at 17h00 each weekday, and ends at 09h00 the following morning, but is masked out by collection 'a'. Axes.fill_betweenx() looks like it's *not* what I need Most of this app operates at finer granularity than what pyplot provides, so I'm dealing directly with the individual axes and artists; the solution needs to work in that domain. So I'd be grateful for ideas Thanks. -- Download Intel® Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Speaking of "many" ... line collections? (was: Put many graphs...)
At what point is a line Collection useful? -- Download Intel® Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Why the name Axes?
How was the name Axes chosen for the Axes component? :) It did confuse me for at least two days while I was first learning mpl. It's in my thoughts again as I'm writing some wrapper classes for it; what were the alternatives considered, even after the fact? :) -- Download Intel® Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] mpl UML?
On Sun, Mar 21, 2010 at 05:52:55PM -0500, Ryan May wrote: > On Sun, Mar 21, 2010 at 3:35 PM, David Carmean wrote: [snip] > > One of the things I'm trying to figure out is whether I can build > > a graphic in "reverse order". The standard M.O. seems to be to [snip] > Certainly things like lines, collections can be added to existing axes > (and don't need one around to be created). This is actually what's > used under the hood. You *should* also be able to create an axes > object and then set its figure, but I've never personally done it. > > What you really want to look at are a lot of Axes methods: > set_figure() > add_artists() > add_collection() > add_line() I did spend a couple of hours looking at the code, and there are a few places where the child components do depend on data/methods in the parent container, even though the "child" objects can be created without the parent; I'm about 80% sure that there are no guards against calling those child methods without a parent, so it seems safer to rework my model to use the top-down approach. Perhaps I'll find some time soon to learn enough to create some unit tests that confirm/refute the above, and if true I'll file some bugs. -- Download Intel® Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] mpl UML?
Has anyone seen/created any UML models/diagrams for Matplotlib? I'm currently doing so to help me understand how to use it in an application, but wondered if somebody has already built the wheel that I'm trying to invent. One of the things I'm trying to figure out is whether I can build a graphic in "reverse order". The standard M.O. seems to be to traverse a self-building tree by invoking convenience methods on each new child, Figure-->Subplot-->plot_date, etc. What I'm looking to do is build from the bottom up, e.g. create a line or scatter plot instance *first*, then append that to the children of an existing Axes instance, which is in-turn appended to the childrend of a Figure instance. Thanks. -- Download Intel® Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Suggestion for filtering by calendar?
I have a time-series dataset for which I need to make several plots; some of them will use all of the data, but others need not only to show just the usual business hours, but also take business holidays into account. I thoght this might be sufficiently common in this community that somebody could easily point me to a python idiom/recipe they've used that I could extend to use masked arrays. FWIW, the idea is not that I want to skip those time periods on the visualizations--and thus the recipes which treat the data as non-timeseries and construct custom ticks are not the solution for me. One of the tasks will be to use a fill to shade in these "working hours" for some of the plots. Another will be to calculate and plot running averages that exclude non-working hours. Thanks. -- SOLARIS 10 is the OS for Data Centers - provides features such as DTrace, Predictive Self Healing and Award Winning ZFS. Get Solaris 10 NOW http://p.sf.net/sfu/solaris-dev2dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Newb: can I plot() just once but render/save to disk different "zooms"?
Hi, I just emigrated from Ploticus last week :) Am working on a project where I'm plotting the contents of a large .csv file with about 250,000 cells (unix system 5-minute load averages from a set of 50 servers, for about three weeks data now). I'm developing this in Spyder/Python(x,y)--completely unknown to me until last week--and the pan/zoom capability makes me wish/wonder two things: 1: I wish I could interactively save the zoomed view to disk, and 2: This behavior hints at the possiblity of a better way to go back and plot 15 1-day views of the original plot, than slicing up the source array and re-plotting. I'm .. so new to matplotlib/numpy that I'm sure I'm missing some key concepts/terminology that, once identified, will let me find my way to what I need to know. For example, I'm terribly confused right now by Axes.get_axes(). Which classes/methods/examples/gallery examples should I look at? Thanks. -- The Planet: dedicated and managed hosting, cloud storage, colocation Stay online with enterprise data centers and the best network in the business Choose flexible plans and management services without long-term contracts Personal 24x7 support from experience hosting pros just a phone call away. http://p.sf.net/sfu/theplanet-com ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
