[Matplotlib-users] formatting figures for publciation

2008-09-26 Thread Gideon Simpson
Is there anything akin to this MATLAB script:

http://www.mathworks.com/company/newsletters/digest/june00/export/

available for mpl?  or some simple set of commands that will  
accomplish the same task?
-gideon


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Re: [Matplotlib-users] One bug of PrintoutWx ( line 2109 in backend_wx.py )

2008-09-26 Thread Eric Firing
[EMAIL PROTECTED] wrote:
> Dear All,
> 
> For the class "PrintoutWx" in backend_wx.py, because it doesn't update the API
> change from  matplotlib 0.98.3. All of "print" and "print preview" doesn't
> work correctly on new version(matplotlib 0.98.3.)
> 
> if we change the line in 2109 "self.canvas.figure.dpi.set(fig_dpi)"
> into
> "self.canvas.figure.set_dpi(fig_dpi)".
> Then it works.
> 
> Would you please change that.

Fixed in svn 6123.

Thank you.

Eric

> 
> Your sincerity,
> Ziwen Fu
> 
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Re: [Matplotlib-users] plotting scattered data from array

2008-09-26 Thread Goyo
El jue, 25-09-2008 a las 22:19 +0200, Oz Nahum escribió:
> >¿What's the meaning of that data arrange? I can't make any sense of
> >plotting a 2D scatter from a 3D array.
> 
> when I wrote:
> head = [[0,0,10],
> [1,0,13],
> [2,0,11],
> [3,0,12],
> [1,2,11]]
> 
> my meaning was to represent point of intereset with x, y coordinates
> and the 3rd number was height for example. 
> I felt like I couldn't access the individual points easily, because
> their are located in on big list...
> So I wanted to have the list broken into rows, and the each row
> represents a value on the y axis... like this:
> head = [
> [[0,0,10], [0,0,13]],
> [[2,0,11], [3,0,12]],
>]

Mm... maybe this is better for your eyes but not for processing, I
think.

>   
> But that's redundant I think now, after looking into the function
> zip. 
> Maybe I could write head in the following way:
>   
>   #   j = 0 1
> head = [
> [[0,10], [1,13]], # i =0
> [[0,11], [1,12]], # i =1
>]

The same. Parsing a data file usually yields a sequence of rows
(records), data processing functions usually expects columns of
homogeneous data and convert from records to columns and back is pretty
straightforward using zip. If you want to use a different representation
for your data you'll need to handle more complex structures and
conversions. Do it if you think it pays (sometimes it does).

> But actually after understanding what zip does, I think I don't need
> it anyway...
> Talking about this: can you give me an example of another use of zip ?
> not just zip(*head)
> 
> I did help(zip) but I could partially understand what it does. I
> learned more by doing:
> x,y,z = zip(*head)
> and then printing x,y,z individually.

There is no other use I can think of. If you think of the arguments
passed to zip as rows, it returns the columns. If the arguments are
columns, zip returns rows. How you name things depends on how you think
of your data. There is no other use I can think of.

zip expects each row (if they are rows) to be passed as an argument so
you usually need that * thing to unpack them. When you call zip(*x), x
being a sequence or array-like, you are actually passing each element of
x as an argument to zip.

Try this:

numbers = [1, 2, 3, 4, 5]
english = ['one', 'two', 'three', 'four', 'five']
spanish = ['uno', 'dos', 'tres', 'cuatro', 'cinco']
x = [numbers, english, spanish]
zip(numbers, english, spanish)
zip(x)
zip(*x)

You can learn about unpacking and zipping sequences reading the Python
Tutorial or another similar resource (maybe Dive into Python dives into
it, not sure but a useful reading anyway).

Goyo


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[Matplotlib-users] One bug of PrintoutWx ( line 2109 in backend_wx.py )

2008-09-26 Thread ziwen . fu
Dear All,

For the class "PrintoutWx" in backend_wx.py, because it doesn't update the API
change from  matplotlib 0.98.3. All of "print" and "print preview" doesn't
work correctly on new version(matplotlib 0.98.3.)

if we change the line in 2109 "self.canvas.figure.dpi.set(fig_dpi)"
into
"self.canvas.figure.set_dpi(fig_dpi)".
Then it works.

Would you please change that.

Your sincerity,
Ziwen Fu

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[Matplotlib-users] bluemarbel image boundaries in robinson projection

2008-09-26 Thread Momme Butenschÿfffff6n
When plotting a global image using the robinson projection and the bluemarble 
image, I have the problem that the image remains rectangular and goes beyond 
the curved projection map boundaries (see attachment). Is there anyway around 
this?

Cheers,
Momme

import mpl_toolkits.basemap as b
import numpy as np
def draw(center=11.,latres=10.,lonres=10.):
  m = b.Basemap(projection='robin',lon_0=center)
  m.drawcoastlines()
  m.drawmapboundary()
  m.drawmeridians(np.arange(0,360,lonres),color='0.5',labels=[0,0,0,1])
  m.drawparallels(np.arange(-90,90,latres),color='0.5',labels=[1,0,0,0])
  im=m.bluemarble()
  return m



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Re: [Matplotlib-users] Legend over plot lines

2008-09-26 Thread Friedrich Hagedorn
On Fri, Sep 26, 2008 at 12:52:01PM +0100, Peter Saffrey wrote:
> Is there a way to automatically resize plots (and subplots) and 
> move/resize plot legends so that they don't obscure the plotted data? I 
> have this problem especially on plots with 4 or 5 tracks.
> 
> I can post an example, but I wasn't sure of the etiquette of posting 
> images to this list.

Yes as *.png. I think it's convinient to understand your problem in a
few seconds.

By,

  Friedrich

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Re: [Matplotlib-users] Information request

2008-09-26 Thread Jeff Whitaker
Antoine De Pauw wrote:
> Jeff,
>
> I totally agree this is due to missing values
>
> Again I've got difficulties to find good words so forgive me, what I tried
> to say is that the ability to have that border transparent would be a good
> feature in next releases, for people who need to interpolate and plot such
> data and have an aesthetic result
>   

Antoine: First of all, let's not call it a 'border' - it happens to show 
up around the border of the image in your case, but fundamentally it's 
just missing pixels in the image. The missing pixels are already 
transparent - what you're seeing is the axes background showing through 
the missing values.
> Imshow is the ideal candidate for satellite data as it has some nice
> interpolation features and it is fast, so it can be batch-run on the server
> every time we receive data, without too much computation time
>
> The alternative I'm using now is a double or quadruple size grid to reduce
> the width of that border, with background color set to the lower colormap
> color
>
> That way, the border is really hard to see and it makes (almost) quality
> plots for publications
>   
I think you're already doing everything that can be done - aside from 
making the plot region smaller so it's inside the convex hull of the 
data and there are no missing values. I don't see how changing the 
behavior of imshow would help you any further.

-Jeff
> -Original Message-
> From: Jeff Whitaker [mailto:[EMAIL PROTECTED] 
> Sent: Thursday, 25 September, 2008 15:34
> To: De Pauw Antoine
> Cc: 'Matplotlib Users'
> Subject: Re: [Matplotlib-users] Information request
>
> De Pauw Antoine wrote:
>   
>> Jeff,
>>
>> Thanks for the tip, it's now working perfectly
>>
>> However, there's still that border with the imshow plot, and I think it
>> would be good to have it transparent
>>
>> There's a zoomed picture I made:
>> http://img218.imageshack.us/img218/5833/imshowborderxz9.png
>>
>> You see the shadow around the data...
>>
>> It would be nice for next releases of Matplotlib to get rid of that, but
>> 
> I'm
>   
>> not able to patch it myself or so... I know there's still a lot of work
>> 
> with
>   
>> the lib but keep the good work, it is really fantastic
>>
>> Thanks for your help!
>>
>> Antoine De Pauw
>> Collaborateur de recherches, Informatique - Research collaborator, IT
>> Laboratoire de chimie quantique et photophysique - Quantum chemistry and
>> photophysics laboratory
>> Université Libre de Bruxelles - ULB
>>   
>> 
>
> Antoine: I thought we agreed that it's not an imshow bug - but rather 
> due to the griddata gridding procedure returning missing values outside 
> the convex hull of the input data. Do you disagree? I see no such border 
> around an imshow plot that contains no missing values. If you shrink the 
> size of the map plotting region so it's fully within the convex hull of 
> the data, the border disappears.
>
> -Jeff
>   
>> -Original Message-
>> From: Jeff Whitaker [mailto:[EMAIL PROTECTED] 
>> Sent: jeudi 25 septembre 2008 14:15
>> To: De Pauw Antoine
>> Cc: 'Matplotlib Users'
>> Subject: Re: [Matplotlib-users] Information request
>>
>> De Pauw Antoine wrote:
>>   
>> 
>>> Hi Jeff,
>>>
>>> I finally found out how to fill my figure with a background color using
>>> axes.set_axis_bgcolor(color), but I'm facing the following problem now:
>>>
>>> How could I get the lower color of a colormap? This is quite undocumented
>>> and I don’t know the colormap properties I could use for that
>>>
>>> I know there must be an accessible value somewhere, like for the
>>> ax.get_yticklabels() you gave me
>>>
>>> If someone had the clue, my problems would then be completely solved
>>>
>>> Antoine De Pauw
>>> Collaborateur de recherches, Informatique - Research collaborator, IT
>>> Laboratoire de chimie quantique et photophysique - Quantum chemistry and
>>> photophysics laboratory
>>> Université Libre de Bruxelles - ULB
>>>   
>>> 
>>>   
>> Antoine: To get the RGBA value associated with a particular data value, 
>> just call the colormap as a function as pass it that value. For example
>>
>>  >>> import matplotlib.pyplot as plt
>>  >>> plt.cm.jet(1)
>> (0.0, 0.0, 0.517825311942959, 1.0)
>>
>> BTW: the 'fill_color' kwarg of drawmapboundary basemap method allows you 
>> to set the background color of the map.
>>
>> http://matplotlib.sourceforge.net/basemap/doc/html/api/basemap_api.html
>>
>> It fills only the map region (which for some projections, like the 
>> orthographic, is not the same as the axes region).
>>
>>
>> -Jeff
>>   
>> 
>>> -Original Message-
>>> From: Jeff Whitaker [mailto:[EMAIL PROTECTED] 
>>> Sent: mardi 23 septembre 2008 20:38
>>> To: De Pauw Antoine
>>> Cc: 'John Hunter'; 'Matplotlib Users'
>>> Subject: Re: [Matplotlib-users] Information request
>>>
>>> De Pauw Antoine wrote:
>>>   
>>> 
>>>   
 Jeff,

 I still don't know how to either remove this artifact or fill my arrays

[Matplotlib-users] Legend over plot lines

2008-09-26 Thread Peter Saffrey
Is there a way to automatically resize plots (and subplots) and 
move/resize plot legends so that they don't obscure the plotted data? I 
have this problem especially on plots with 4 or 5 tracks.

I can post an example, but I wasn't sure of the etiquette of posting 
images to this list.

Cheers,

Peter

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