[Matplotlib-users] contour plot for newbie

2009-10-16 Thread fra_ra...@libero.it
Hi to all,

I'm trying to make a contour plot from the beginning, I mean from a 
3 column data file X,Y,Z, but I don't know how to do it without, e.g., origin 
and I want to use and to learn better matplotlib.
what's the first thing to do?

I imagine something like gridding data, but I've done a lot of attempts 
obtaining just a lot of error output.
which is the way to grid with matplolib?


after the grid, I have to use the contour(Z). In each case I've tried, also 
with the example of the matplotlib, It complains about some missing libraries 
of numpy (numpy.ma): I tried to install from scratch...

I surfed the net, I 
found something but I'm a newbie both in matplolib and in python, so I'd be 
very happy if someone of you could help me from the beginning.

Thanks a lot in 
advance
Francesco

p.s.
my O.S.
cat /etc/lsb-release
DISTRIB_ID=Ubuntu

DISTRIB_RELEASE=8.04
DISTRIB_CODENAME=hardy
DISTRIB_DESCRIPTION=Ubuntu 8.04.3 
LTS

python -V
Python 2.5.2

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Re: [Matplotlib-users] how to customize informations given by the navigation toolbar ?

2009-10-16 Thread LB
It would be very fine to me, but unfortunately, I have to use matplotlib
0.91.2.
Is there a way to adapt this to the old transform API ?

Thanks

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[Matplotlib-users] Problem with hist

2009-10-16 Thread Axel Gembe
Hi, I need to know why the attached code works in one case and takes 
forever to run in the other one.
I don't think I've done anything wrong and I tried everything that came 
to my mind now.
If you use x1 = mu + sigma * np.random.randn(1000) instead of x1 = 
np.array([np.float64(val / 2.0) for val in x0], np.float64)

Why doesn't this work if its the same array divided by 2 ?

Thanks,

Axel Gembe

#!/usr/bin/env python
# -*- coding: utf-8 -*-

import sys, codecs

#import matplotlib
#matplotlib.use('Agg')

import numpy as np
import matplotlib.pyplot as plt

mu, sigma = 75, 25

x0 = mu + sigma * np.random.randn(3000)

# First one works, second one doesn't, why?
#x1 = mu + sigma * np.random.randn(1000)
x1 = np.array([np.float64(val / 2.0) for val in x0], np.float64)

print '%r' % x0
print '%s' % type(x0).__name__
print '%r' % x1
print '%s' % type(x1).__name__

n, bins, patches = plt.hist((x0, x1), bins = 25, normed = False, histtype = 
'bar')

sys.stdout.flush()
sys.stdout = codecs.open(test.png, wb, None)

plt.savefig(sys.stdout, filetype='png')
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Re: [Matplotlib-users] how to customize informations given by the navigation toolbar ?

2009-10-16 Thread LB
Seems that the following lines did the trick with matplotlib  0.91.2

   xy_pixel = self.a3.transData.xy_tup((x3,y3))
   x1, y1 = self.a1.transData.inverse_xy_tup(xy_pixel)

Thanks

2009/10/16 LB bravo.l...@gmail.com

 It would be very fine to me, but unfortunately, I have to use matplotlib
 0.91.2.
 Is there a way to adapt this to the old transform API ?

 Thanks

 --
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Re: [Matplotlib-users] Problem with hist

2009-10-16 Thread Axel Gembe
Axel Gembe wrote:
 Hi, I need to know why the attached code works in one case and takes 
 forever to run in the other one.
 I don't think I've done anything wrong and I tried everything that 
 came to my mind now.
 If you use x1 = mu + sigma * np.random.randn(1000) instead of x1 = 
 np.array([np.float64(val / 2.0) for val in x0], np.float64)
 Why doesn't this work if its the same array divided by 2 ?

 Thanks,

 Axel Gembe

OK, actually I didn't construct x1 from x1 but from x0 in the code.
The problem only happens when both arrays have the same length, content 
does not matter.

Axel Gembe


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Re: [Matplotlib-users] all fonts to sans-serif?

2009-10-16 Thread Darren Dale
On Thu, Oct 15, 2009 at 10:38 AM, Christian Meesters
meest...@imbie.uni-bonn.de wrote:
 Hi,

 I'd like to have all sub-fonts (labels, tick labels, text) sans-serif
 for a series of plots per default. However the appropriate settings
 in .matplotlibrc apparently don't work and this also does not work:

 import matplotlib as mpl
 mpl.rcParams['text.usetex'] = True
 mpl.rcParams['font.family'] = 'sans-serif'
 mpl.rcParams['font.sans-serif'] = 'Bitstream Vera Sans'

usetex uses latex's math mode for rendering ticklabels, and mathmode
is rendered in serif. We tried supporting sans-serif once, and it
turned out to be too complicated to cover all the corner cases. I
think there may be a latex package that can be loaded for sans-serif
math mode, but I don't remember what it is called. You could add that
package invocation to your text.latex.preamble, but please note that
text.latex.preamble is not officially supported (because it is so
flexible, we don't want to troubleshoot latex issues on this list.)

Darren

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[Matplotlib-users] Is there an easy way to turn on automatic subticks?

2009-10-16 Thread Michael Waters
I am making regular Cartesian coordinate graphs with linear scales on 
the axis. I would really like to have automatic subticks to make reading 
data easier. Is there an easy way to do this?

Thanks
-mike w.

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Re: [Matplotlib-users] Is there an easy way to turn on automatic subticks?

2009-10-16 Thread Ryan May
On Fri, Oct 16, 2009 at 12:23 PM, Michael Waters mjwat...@umich.edu wrote:
 I am making regular Cartesian coordinate graphs with linear scales on
 the axis. I would really like to have automatic subticks to make reading
 data easier. Is there an easy way to do this?

Yes, you just need to set a locator for the minor ticks, which is set
to NullLocator by default.

import matplotlib.pyplot as plt
from matplotlib.ticker import MaxNLocator
plt.plot([1,2,3])
ax = plt.gca()
ax.xaxis.set_minor_locator(MaxNLocator(nbins=30, steps=[1, 2, 5, 10]))
plt.show()

You might also want to look at:

http://matplotlib.sourceforge.net/examples/pylab_examples/major_minor_demo1.html?highlight=codex%20minor

Ryan

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School of Meteorology
University of Oklahoma

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Re: [Matplotlib-users] Little issue with blitting technique

2009-10-16 Thread Laurent Dufrechou
Bug reported:

https://sourceforge.net/tracker/index.php?func=detailaid=2880692group_id=80706atid=560720

Does anybody where I could dig a little to try to correct it?
It a really needed feature for me, so if I could help...

Cheers,
Laurent

 -Message d'origine-
 De : Jae-Joon Lee [mailto:lee.j.j...@gmail.com]
 Envoyé : jeudi 15 octobre 2009 05:23
 À : Laurent Dufrechou
 Cc : matplotlib-users@lists.sourceforge.net
 Objet : Re: [Matplotlib-users] Little issue with blitting technique
 
 On Tue, Oct 13, 2009 at 1:02 PM, Laurent Dufrechou
 ldufrec...@marport.com wrote:
  Hello,
 
  I've tested so far with wx and QT4 backend.
  The two are buggy.
  Easy way to reproduce the bug (another way I mean)
 
  ax = p.subplot(212)
  ax2 = p.subplot(211)
 
 
 On mac with wxgtk, it works fine.
 Maybe this is an windows only issue.
 
  and the two backends got the same error.
 
 Since nobody steped in, and I don't use windows, can you file a bug
 report.
 
 http://sourceforge.net/tracker/?atid=560720group_id=80706func=browse
 
 Please provide a short, complete example that reproduces the bug. Also
 the error message you get.
 
 -JJ
 
 
 
  Note that I'm under windows. I'll try under linux tonight just to
 check.
  I'll also try gtk backend as you suggest.
 
  Update in next email :)
 
  -Message d'origine-
  De : Jae-Joon Lee [mailto:lee.j.j...@gmail.com]
  Envoyé : mardi 13 octobre 2009 18:36
  À : Laurent Dufrechou
  Cc : matplotlib-users@lists.sourceforge.net
  Objet : Re: [Matplotlib-users] Little issue with blitting technique
 
  I haven't tested it with qt4, but with gtk, add_axes DOES work.
 
  So, can you try other backends and see if they work?
 
  And, I believe that add_subplot - add_axes is a only change you
 made?
 
  Unless the problem is persistent among other backends, I hope other
  developers who use qt4 backend step in and help.
 
  Regards,
 
  -JJ
 
 
  On Thu, Oct 8, 2009 at 11:30 AM, Laurent Dufrechou
  ldufrec...@marport.com wrote:
   Hello,
  
  
  
   I’ve just discovered blitting technique to improve performances.
  
   I’m using this example
  
 
 http://matplotlib.sourceforge.net/examples/animation/animation_blit_qt4
  .html
  
  
  
   I encounter an issue if instead of using subplot I use add_axes
  method to
   hand define where I want my plot.
  
   In this case blitting is no more working like if restore_region
 was
  not
   restoring context…
  
  
  
   def __init__(self):
  
       FigureCanvas.__init__(self, Figure())
  
  
  
       #self.ax = self.figure.add_subplot(111)
  
       self.ax = self.figure.add_axes([0.1,0.1,0.8,0.2])
  
  
  
   Any idea why in this case the example given is not working?
  
  
  
   Cheers,
  
   Laurent
  
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Re: [Matplotlib-users] [matplotlib-devel] AutoDateFormatter/AutoDateLocator

2009-10-16 Thread Pierre GM

On Oct 16, 2009, at 2:59 PM, Ryan May wrote:

 On Wed, Oct 14, 2009 at 3:59 PM, John Hunter jdh2...@gmail.com  
 wrote:
 I don't have a strong opinion on this -- making it more customizable
 is a good thing -- this came up at scipy as well, where I contributed
 a patch to make the AutoDateFormatter a little more customizable by
 exposing a scaled dictionary mapping the scale to a format string.   
 As
 long as the extension to the AutoDateLocator preserves the core
 functionality, I say have at it.

 Here's a patch that implements the ideas I have.  To the best of my
 ability, it preserves the same behavior as before, it just opens it up
 to configuration by the user instead of being hard-coded. It adds:

 1) Configuring the minimum number of ticks, which determines whether
 to do yearly, monthly, etc. ticking

 2) Configuring the maximum number of ticks, which is used to select
 what interval of ticking to use.  This is actually
 done on a per-frequency basis.  This helps to keep in line with
 previous behavior and is useful for keeping tick spacing in line with
 what the label would be for a given frequency.  The user can also
 simply pass an integer that
 gives the maximum for all frequencies.

 3) A dictionary of intervals corresponding to each frequency.  This
 keeps the previous functionality of appropriate intervals for each
 frequency, but also opens it up to user configuration.

 4) Optional ticking on multiples of the interval.  Previously, if you
 were ticking with, say, 10 minute intervals, and the range happened to
 start at 33 minutes, you'd get ticks at 33, 43, 53, etc.  With this
 flag set, the ticks instead end up at 40, 50, 0, 10, etc.

 I'd appreciate anyone looking this over for any glaring problems
 before I check this in.  I've done my best to preserve old
 functionality, though I'm still working on getting the unit tests to
 run here.  It also passes my own testing here when I fiddle with the
 new knobs that have been exposed.  My one question is: how important
 is keeping API compatibility?  The constructor tries to follow the
 convention of the rest of the module (tz is last or nearly so), but
 this breaks compatibility (where tz was the only argument).  Also, to
 me, it would be nice to tick multiples of the interval by default.

 Thoughts?

Have you checked scikits.timeseries.lib.plotlib ? We provide some  
functions that adapt the ticks to the frequency of you base series,  
but also according to the range of the axes. For example, if you work  
with a 100-y daily timeseries, you'll have major ticks every 5 years  
if you plot the whole series, every month if you plot or zoom on one  
year only, etc.
it may be worthwhile to give it a try. I'd be happy to help adapting  
our code to remove the dependency on scikits.timeseries if needed...


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[Matplotlib-users] TR: Cleaver way to do a scrolling imshow?

2009-10-16 Thread Laurent Dufrechou
Hello,

I'm investigating a way to make a sort of imshow that is scrolling from
right to left.

My idea is to copy in a blit buffer from (1,0) to (xmax,ymax).

Blit it @(0,0) (xmax-1,ymax)

And then draw a cmap'ed line @x=xmax.

 

So here are my question:

 

How to draw a line that use a cmap=jet (for example)?

I've taken a look at Line2D but it has no cmap argument. The only thing I've
found is drawing a line with only one color.

 

Any idea appreciated!

 

Cheers,

Laurent

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[Matplotlib-users] Cleaver way to do a scrolling imshow?

2009-10-16 Thread Laurent Dufrechou
Hello,

I'm investigating a way to make a sort of imshow that is scrolling from
right to left.

My idea is to copy in a blit buffer from (1,0) to (xmax,ymax).

Blit it @(0,0) (xmax-1,ymax)

And then draw a cmap'ed line @x=xmax.

 

So here are my question:

 

How to draw a line that use a cmap=jet (for example)?

I've taken a look at Line2D but it has no cmap argument. The only thing
I've found is drawing a line with only one color...

 

Any idea appreciated!

 

Cheers,

Laurent

 

 

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[Matplotlib-users] plotting normalized histograms

2009-10-16 Thread per freem
hi all,

i have a matrix of data and i would like to make a set of subplots,
each subplot with a histgram of one of the columns of the data. the
dataset is an Nx4 matrix containing only numbers between 0 and 1.

i plot it like this:

plt.subplot(2, 2, 1)
# histogram of first column
plt.hist(mydata[:, 0], 15)
plt.subplot(2, 2, 1)
# histogram of second column
plt.hist(mydata[:, 1], 15)
# etc...

since i want the subplots to be comparable, i'd like hist to use the
same bins for all subplots. how can i do this?

also, i would like to, instead of showing counts on the y-axis, show
the normalized probability of each bin. i looked into the normed
optional argument, but i don't think it achieves this. my attempt to
do this was:

plt.hist(mydata[:, 0], 15, normed=1)

but the y-axis is not set to be between 0 and 1.

any ideas on how to do this would be greatly appreciated. thanks.

plt.hist(mydata[:, 0]

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Re: [Matplotlib-users] Is there an easy way to turn on automatic subticks?

2009-10-16 Thread Michael Waters
Ryan May wrote:
 On Fri, Oct 16, 2009 at 12:23 PM, Michael Waters mjwat...@umich.edu wrote:
   
 I am making regular Cartesian coordinate graphs with linear scales on
 the axis. I would really like to have automatic subticks to make reading
 data easier. Is there an easy way to do this?
 

 Yes, you just need to set a locator for the minor ticks, which is set
 to NullLocator by default.

 import matplotlib.pyplot as plt
 from matplotlib.ticker import MaxNLocator
 plt.plot([1,2,3])
 ax = plt.gca()
 ax.xaxis.set_minor_locator(MaxNLocator(nbins=30, steps=[1, 2, 5, 10]))
 plt.show()

 You might also want to look at:

 http://matplotlib.sourceforge.net/examples/pylab_examples/major_minor_demo1.html?highlight=codex%20minor

 Ryan

   
That does it! Thanks a bunch.


-mike w.

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[Matplotlib-users] _legmarker attribute error in in legend using vlines

2009-10-16 Thread Michael Waters
When I try to make a legend after using the vlines command, I get a 
_legmarker error.


my code: 


/
plot(two_theta,y_value_list_1)
vlines(two_theta,[0],y_value_list_2,linewidth = 2)
legend(['1','2'])/


the error:

/Exception in Tkinter callback
Traceback (most recent call last):
 File /usr/lib/python2.6/lib-tk/Tkinter.py, line 1413, in __call__
   return self.func(*args)
 File 
/usr/lib/python2.6/dist-packages/matplotlib/backends/backend_tkagg.py, 
line 212, in resize

   self.show()
 File 
/usr/lib/python2.6/dist-packages/matplotlib/backends/backend_tkagg.py, 
line 215, in draw

   FigureCanvasAgg.draw(self)
 File 
/usr/lib/python2.6/dist-packages/matplotlib/backends/backend_agg.py, 
line 279, in draw

   self.figure.draw(self.renderer)
 File /usr/lib/python2.6/dist-packages/matplotlib/figure.py, line 
772, in draw

   for a in self.axes: a.draw(renderer)
 File /usr/lib/python2.6/dist-packages/matplotlib/axes.py, line 1601, 
in draw

   a.draw(renderer)
 File /usr/lib/python2.6/dist-packages/matplotlib/legend.py, line 
316, in draw

   self._update_legend_box(renderer)
 File /usr/lib/python2.6/dist-packages/matplotlib/legend.py, line 
626, in _update_legend_box

   legline_marker = legline._legmarker
AttributeError: 'Line2D' object has no attribute '_legmarker'


/This stopped working after I installed ubuntu 9.4

thanks,
-mike w.

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Re: [Matplotlib-users] _legmarker attribute error in in legend using vlines

2009-10-16 Thread Jae-Joon Lee
I guess this is a known bug and already fixed. Maybe ubuntu 9.4 sheeps
with the older version though (the bug was fixed in this January, so,
I'm not sure).

http://www.nabble.com/unable-to-create-legend-for-vlines-graph-td21707558.html#a21707558

You may try to install the latest version. Or you may use the option 4
as a work around.

http://matplotlib.sourceforge.net/users/legend_guide.html#using-proxy-artist

Regards,

-JJ



On Fri, Oct 16, 2009 at 9:34 PM, Michael Waters mjwat...@umich.edu wrote:
 When I try to make a legend after using the vlines command, I get a
 _legmarker error.

 my code:


 plot(two_theta,y_value_list_1)
 vlines(two_theta,[0],y_value_list_2,linewidth = 2)
 legend(['1','2'])


 the error:

 Exception in Tkinter callback
 Traceback (most recent call last):
   File /usr/lib/python2.6/lib-tk/Tkinter.py, line 1413, in __call__
     return self.func(*args)
   File
 /usr/lib/python2.6/dist-packages/matplotlib/backends/backend_tkagg.py,
 line 212, in resize
     self.show()
   File
 /usr/lib/python2.6/dist-packages/matplotlib/backends/backend_tkagg.py,
 line 215, in draw
     FigureCanvasAgg.draw(self)
   File
 /usr/lib/python2.6/dist-packages/matplotlib/backends/backend_agg.py, line
 279, in draw
     self.figure.draw(self.renderer)
   File /usr/lib/python2.6/dist-packages/matplotlib/figure.py, line 772, in
 draw
     for a in self.axes: a.draw(renderer)
   File /usr/lib/python2.6/dist-packages/matplotlib/axes.py, line 1601, in
 draw
     a.draw(renderer)
   File /usr/lib/python2.6/dist-packages/matplotlib/legend.py, line 316, in
 draw
     self._update_legend_box(renderer)
   File /usr/lib/python2.6/dist-packages/matplotlib/legend.py, line 626, in
 _update_legend_box
     legline_marker = legline._legmarker
 AttributeError: 'Line2D' object has no attribute '_legmarker'


 This stopped working after I installed ubuntu 9.4

 thanks,
  -mike w.


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Come build with us! The BlackBerry(R) Developer Conference in SF, CA
is the only developer event you need to attend this year. Jumpstart your
developing skills, take BlackBerry mobile applications to market and stay 
ahead of the curve. Join us from November 9 - 12, 2009. Register now!
http://p.sf.net/sfu/devconference
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