Question about the Matplotlib classic Toolbar - the pan feature to display only existent data..

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Re: windrose 0.5

Lionel

I have encountered a problem with windrose.  In some cases, one or more
of the
wind direction values are null [''] - the program then fails on line
200:
   values = select( [greater_equal( direction, wind_classes[i]
)],[speed], default=-1.e20 )
Is it possible for you to upgrade the program to perform error
trapping
and simply skip (i.e. not process) any values that are null (and handle
the
exceptional case that all of them might, in fact, be null).

Thanks!
Derek

>>> Lionel Roubeyrie <lroubeyrie@...> 2006/10/18 05:57:55 PM
>>>

Hi Derek,
happy to see you use it, here is windrose0.5 with some improvments 

> * do not outline the colors in black; its hard to see
smaller/shorter
> lines
Done

> * the % labels need either to go along a vector NOT used to draw
data,
> or
> be drawn last (on top of data); or a combination of both
Now "%" is set with the external label. I don't find how to set labels
(and 
grids) above patches, ax.set_axisbelow(False) doesn't work  But for
the 
moment you can use labangle parameter to move the labels.

> * the 0.0% label can probably be omitted from the centre
> * drawing a title("") on the plot is still problematic (it
overwrites
> the "N" in some cases)
0.0 is not longer draw

> * default background color should be white
Hum, everybody can set it directly from matplotlibrc or creating an
polar axis 
before.

> * a legend title will *very* useful
Waiting for polar axes legend improvments 

>
> And a question - is it possible to restrict the plot to a portion of
> the area;
> say to the left, with a "rectangle" of the space available to the
> right; or
> up to the top, with a "rectangle" of the space available to the
> bottom.
> Plots often have to annotated and its useful to have some working
> space
> to do this.
Don't know if I really understand what you want, but why don't you use
subplot 
to split your figures?
>
> Thanks for all the good work!
> Derek

>PS Does anyone else using this program get the strange "[" and "]"
>signs around the data ranges in the legend - how can this be turned
off?
You're the first saying you use it 
Maybe differents progs versions. I use:
|datas|[42]>matplotlib.__version__
   Out [42]:'0.87.5'
|datas|[43]>scipy.__version__
   Out [43]:'0.5.1'
|datas|[44]>numpy.__version__
   Out [44]:'1.0b5'

Lionel

-- 
Lionel Roubeyrie - lroubeyrie@... 
LIMAIR
http://www.limair.asso.fr 

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Re: windrose 0.5

Hi Derek,
I forgot to mention: you can pass throught your problem by using a masked 
array instead of a simple array, and it should work fine, the 'default' 
parameter is here to fill missing value by -1.e20, then these directions will 
be dropped if your speed_classes not include that missing value (generally we 
compute on positives speeds).

Le Jeudi 01 Février 2007 13:17, Derek Hohls a écrit :
> Lionel
>
> I have encountered a problem with windrose.  In some cases, one or more
> of the
> wind direction values are null [''] - the program then fails on line
> 200:
>    values = select( [greater_equal( direction, wind_classes[i]
> )],[speed], default=-1.e20 )
> Is it possible for you to upgrade the program to perform error
> trapping
> and simply skip (i.e. not process) any values that are null (and handle
> the
> exceptional case that all of them might, in fact, be null).
>
> Thanks!
> Derek

--

-- 
Lionel Roubeyrie - lroubeyrie@...
LIMAIR
http://www.limair.asso.fr

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Wrong colorbar-ticks in imshow-colorbar with 10 colors

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Subject: Bug: Image transparency varies periodically for imshow(img, aspect='auto') at high magnification

Bug: Image transparency varies periodically for imshow(img, aspect='auto') at high magnification

Hi!

I believe I've found a bug in matplotlib which manifests after 
imshow(img, aspect='auto') when only a small portion of the image is 
displayed, e.g: when (xmax-xmin) << img.shape[1]. The effect of the bug 
is that the transparency for the entire image seems to vary, seemingly 
as a periodic funtion of (xmax-xmin). Explicitly setting the alpha 
channel for each pixel has no effect.

The attached script generates a random image of a certain size, and 
plots it in four different subplots. The only thing that differs between 
the subplots are slight variations in x_max. The four subplots are labeled:

1) The background image is visible.
2) The background image is not visible!
3) The background image is faded!
4) The background image is again visible!

which reflects the actual result on my system. As the subplots are 
scaled (for example by resizing the window), the intensity then varies 
in a periodic manner in each of the subplots.

The expected result is of course that the background should be fully 
visible in all subplots.

Additional details:

$ python test.py --verbose-helpful
matplotlib data path /usr/lib/python2.4/site-packages/matplotlib/mpl-data
$HOME=/home/bioinfo/yohell
CONFIGDIR=/home/bioinfo/yohell/.matplotlib
loaded rc file 
/usr/lib/python2.4/site-packages/matplotlib/mpl-data/matplotlibrc
matplotlib version 0.87.7
verbose.level helpful
interactive is False
platform is linux2
numerix numpy 1.0
font search path ['/usr/lib/python2.4/site-packages/matplotlib/mpl-data']
loaded ttfcache file /home/bioinfo/yohell/.matplotlib/ttffont.cache
backend WXAgg version 2.6.1.2pre

In this example I used the WXAgg backend, but GTKAgg shows the same 
results. I've also reproduced this bug on a WinXP machine.

Thanks for an excellent plotting package!
/Joel Hedlund
Linköping University

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Subject: Re: Bug: Image transparency varies periodically for imshow(img, aspect='auto') at high magnification

Re: Bug: Image transparency varies periodically for imshow(img, aspect='auto') at high magnification

Hi Joel,

On Thursday 01 February 2007 11:09:11 am Joel Hedlund wrote:
> I believe I've found a bug in matplotlib which manifests after
> imshow(img, aspect='auto') when only a small portion of the image is
> displayed, e.g: when (xmax-xmin) << img.shape[1]. The effect of the bug
> is that the transparency for the entire image seems to vary, seemingly
> as a periodic funtion of (xmax-xmin). Explicitly setting the alpha
> channel for each pixel has no effect.
>
> The attached script generates a random image of a certain size, and
> plots it in four different subplots. The only thing that differs between
> the subplots are slight variations in x_max. The four subplots are labeled:
>
> 1) The background image is visible.
> 2) The background image is not visible!
> 3) The background image is faded!
> 4) The background image is again visible!
>
> which reflects the actual result on my system. As the subplots are
> scaled (for example by resizing the window), the intensity then varies
> in a periodic manner in each of the subplots.
>
> The expected result is of course that the background should be fully
> visible in all subplots.

I can verify this behavior, more or less. I observe that the figure.dpi rc 
setting influences the results (I tried 86.23 and 200).

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imshow(), set_data() and sequential update problem with two figures

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Subject: Re: Bug: Image transparency varies periodically for imshow(img, aspect='auto') at high magnification

Re: Bug: Image transparency varies periodically for imshow(img, aspect='auto') at high magnification

Darren Dale wrote:
> Hi Joel,
> 
> On Thursday 01 February 2007 11:09:11 am Joel Hedlund wrote:
>> I believe I've found a bug in matplotlib which manifests after
>> imshow(img, aspect='auto') when only a small portion of the image is
>> displayed, e.g: when (xmax-xmin) << img.shape[1]. The effect of the bug
>> is that the transparency for the entire image seems to vary, seemingly
>> as a periodic funtion of (xmax-xmin). Explicitly setting the alpha
>> channel for each pixel has no effect.
>>
>> The attached script generates a random image of a certain size, and
>> plots it in four different subplots. The only thing that differs between
>> the subplots are slight variations in x_max. The four subplots are labeled:
>>
>> 1) The background image is visible.
>> 2) The background image is not visible!
>> 3) The background image is faded!
>> 4) The background image is again visible!
>>
>> which reflects the actual result on my system. As the subplots are
>> scaled (for example by resizing the window), the intensity then varies
>> in a periodic manner in each of the subplots.
>>
>> The expected result is of course that the background should be fully
>> visible in all subplots.
> 
> I can verify this behavior, more or less. I observe that the figure.dpi rc 
> setting influences the results (I tried 86.23 and 200).

This sounds like the same bug that was noted a few months ago, in which 
  repeated zooming to a very small part of the image ends up washing out 
the color entirely.  I think that it was also connected with very slow 
rendering.

Eric

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Subject: Re: Bug: Image transparency varies periodically for imshow(img, aspect='auto') at high magnification

Re: Bug: Image transparency varies periodically for imshow(img, aspect='auto') at high magnification

> I think that it was also connected with very slow rendering.

I second that. Rendering is very slow when this occurs.

A workaround is to slice the image and just plot the visible pixels, and
then to use the 'extent' keyword argument to position the slice on the
axis, e.g:

imagesc(img[a:b,ymin:ymax,:], extent=(a,b,ymin,ymax), aspect='auto')

/Joel

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Re: freezing matplotlib

Le lundi 25 décembre 2006 16:00, Allan Noriel Estrella a écrit :
> Has anyone tried freezing matplotlib embedded in a wx app (using py2ece,
> cx_freeze or pyinstaller)? The setup.py in the FAQ seems to be outdated. I
> want to freeze the embedding_in_wx.py in the examples. Do you have any
> suggestions or cookbook steps that I can follow?

it looks there were no answer to your question!

I tried too the FAQ 
http://matplotlib.sourceforge.net/faq.html#PY2EXE

and it does not work at least with my enthough installation directories seems 
to be very different from the one suggested.

I also tried http://www.py2exe.org/index.cgi/MatPlotLib without success

I tried the simpelst thing 

from pylab import *
plot([1,2,3])
show()

no chance!
I don't know if someone could help, is there a better backend for freezing, 
maybe wxpython?

Someone already succeded with a recent matplotlib ?
I'm using 0.87.3 (on windows)

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