matplotlib-users Mailing List for matplotlib

On Monday, January 24, 2011, johanngoetz <jg...@uc...> wrote:
>
> Hello,
> A common task I have is to histogram one variable of a multidimensional
> dataset as a function of two (or more) variables. I have attached an example
> which shows exactly what I would like to do.
>
> The problem I would like to solve is the zoomed in x-axis which is the last
> part of the script attached. I start by copying one of the subplots with
> Axes.twiny() and proceed to adjust it and label it. The results are quite
> nice but as soon as I start adjusting the plotted window or any of the
> subplot spacing parameters, this "copy of an axis" does not transform
> properly. Could anyone make a suggestion as to which transformations I
> should use to shift and zoom the new axes? Or perhaps there is a better
> method for drawing a zoomed in version of an axis?
>
> I would like to submit this to the examples/gallery page but feel that these
> details need to be addressed, and I am not sure I know how to fix them.
> Hopefully, I have commented this example enough that someone could follow
> what I am doing.
>
> Thank you,
> Johann
>
> http://old.nabble.com/file/p30748088/grid_plot.png
>
> http://old.nabble.com/file/p30748088/grid_plot.py grid_plot.py
>
>
> --
> View this message in context: http://old.nabble.com/zoomed-copy-of-axis-for-grid-of-subplots-tp30748088p30748088.html
> Sent from the matplotlib - users mailing list archive at Nabble.com.
>
>
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Have you checked out the axes_grid1 toolkit?  I have seen some neat
features there such as zoomed in plots and such.  Maybe it could help
you?

Ben Root

On Tuesday, January 25, 2011, Daryl Herzmann <ak...@gm...> wrote:
> Hi Paul,
>
> Sorry for the delayed response....
>
> On Fri, Jan 21, 2011 at 5:20 PM, Paul Ivanov <piv...@gm...> wrote:
>> ok, much clearer now - what you want is for your text to not be
>> cut-off the way it is in the 8x8 80dpi plot? In other words,
>> there's not enough space left in the figure for the axis labels
>> to be completely displayed.
>
> Even if the text was displayed, it appears to be rather smaller than
> it could be.
>
>> At the moment, I don't think there's a simple way of doing it,
>> and the quick way I find myself doing is by adjusting the subplot
>> parameters using:
>
> Thanks for helping me so much with this.  I'll continue to use my
> convert hack until better things come down the pipe.  Sorry that I am
> not able to write patches to help this situation. :(
>
> daryl
>
> ------------------------------------------------------------------------------
> Special Offer-- Download ArcSight Logger for FREE (a $49 USD value)!
> Finally, a world-class log management solution at an even better price-free!
> Download using promo code Free_Logger_4_Dev2Dev. Offer expires
> February 28th, so secure your free ArcSight Logger TODAY!
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>

You might have more luck using a vectorized image format such as svg
or eps.  In those formats, the text is saved as text and renderers can
scale the font properly based on the display size.  Note that it won't
reflow your text or anything like that, but it will keep it somewhat
readable in smaller sizes.

Just my 2 cents.

Ben Root

Hi list,

This is just a note that an extra track at FEMTEC, a conference for
computational methods in engineering and science, is open for open source
scientific software. The organisers have a taste for Python, so if you
want to submit a paper on numerical methods with Python, this is an
excellent venue. Abstract submission is open till end of February. To
submit you need to create an account and edit you profile.

Gael

________________________________________________________________________________

The 3rd International Conference on Finite Element Methods in Engineering
and Science (FEMTEC 2011, http://hpfem.org/events/femtec-2011/) will have
a track on Open-source projects and Python in scientific computing. 

FEMTEC 2011 is co-organized by the University of Nevada (Reno), Desert
Reseach Institute (Reno), Idaho National Laboratory (Idaho Falls, Idaho),
and U.S. Army Engineer Research and Development Center (Vicksburg,
Mississippi). The objective of the meeting is to strengthen the
interaction between researchers who develop new computational methods,
and scientists and engineers from various fields who employ numerical
methods in their research. Specific focus areas of FEMTEC 2011 include,
but are not limited to, the following: 

    *   Computational methods in hydrology, atmospheric
      modeling, and other earth sciences.
    * Computational methods in nuclear, mechanical,
      civil, electrical, and other engineering fields.
    * Mesh generation and scientific visualization.
    * Open-source projects and Python in scientific computing.

Part of the conference will be a software afternoon featuring open source
projects of participants.

Proceedings

Proceedings of FEMTEC 2011 will appear as a special issue of Journal of
Computational and Applied Mathematics (2008 SCI impact factor 1.292), and
additional high-impact international journals as needed.

with a slight correction from the code proposed by Justin, it works
fine (tested on mpl 1.0.1).

On Wed, Dec 1, 2010 at 11:58 AM, Justin McCann <jneilm@...> wrote:
> Is there a straightforward way to limit the legend only to lines that
> appear within the current display limits? I have a plot that has too
> many separate data series to show on the legend at once, but once I
> zoom in it would be good to re-set the legend to show only the visible
> data points/lines.
[...]

from matplotlib import transforms

def add_legend_viewlim(ax, **kwargs):
    """ Reset the legend in ax to only display lines that are
currently visible in plot area """
    label_objs  = []
    label_texts = []
    ## print "viewLim:", ax.viewLim
    for line in ax.lines:
        line_label = line.get_label()
        if line.get_visible() and line_label and not line_label.startswith("_"):
            line_bbox = transforms.Bbox.unit()
            line_bbox.update_from_data_xy(line.get_xydata())
            if ax.viewLim.overlaps(line_bbox):
                ## print line_label, line_bbox
                label_objs.append(line)
                label_texts.append(line_label)
    if label_objs:
        return ax.legend(label_objs, label_texts,  **kwargs)
    elif ax.get_legend():
        ax.get_legend().set_visible(False)


-- 
thanks,
peter butterworth