matplotlib-users Mailing List for matplotlib

Hello,

Just to report a very minor thing, a broken link on the matplotlib website
: in the tutorial page, in the table summarising the "Lines properties",
the "color" hyperlink is broken.

-- 
Yann Le Du

http://www-thphys.physics.ox.ac.uk/users/YannLeDu

I'm trying to 'freeze' a script of mine using py2exe and I cant seem to get 
it to play nicely with matplotlib. More specifically, my script is a 
wxpython frame that displays several data plots that are created with the 
Agg backend and converted to bitmaps. From my limited knowledge of py2exe 
it appears that the problem arises from py2exe trying to import several 
backends at once.

My specific setup is as follows:

Followed all the steps listed here: 
http://sourceforge.net/mailarchive/forum.php?thread_id=4031953&forum_id=33405
Also attempted using excludes as mentioned here: 
http://starship.python.net/crew/theller/moin.cgi/MatPlotLib

# setup.py
from distutils.core import setup
import py2exe
import glob

data = glob.glob(r"C:\Python23\share\matplotlib\*")

opts = {'py2exe': { 'excludes': ['_gtkagg', '_tkagg'],
                     	     'dll_excludes': ['libgdk-win32-2.0-0.dll', 
'libgobject-2.0-0.dll']
                          }
           }

setup(
     name="Sleepy",
     version="0.5.0",
     console=["sleepy.py"],
     data_files=[("share",data)],
     options = opt
)



#fsleepy.py import list if it helps at all
import wx
from wxPython.wx import *
from wxPython.gizmos import wxTreeListCtrl
from wxPython.lib.buttons import *

import matplotlib
import matplotlib.ft2font
import matplotlib.backends.backend_agg
import ttfquery
from matplotlib.matlab import *
matplotlib.use('Agg')

from matplotlib.backends.backend_agg import FigureCanvasAgg
from matplotlib.figure import Figure
from matplotlib.axes import Subplot

import win32com.client
import pickle, math, string, calendar, time, os, os.path



Finally, I'll attach output from two runs of py2exe on the target with and 
without the excludes listed in the py2exe wiki.

Thanks,
-Colin

>>>>> "Peter" == Peter Groszkowski <pio...@ho...> writes:

    Peter> I found another issue with plot_date. Dont have a simple
    Peter> example yet, and hope that this is something 'obvious' and
    Peter> I don't have to bother.

There is clearly something wrong with the autoscale function of one of
the date tick locators.  It would help to know which one.  plot_date
looks at the range of your date data and tries to pick the appropriate
date tick locator based on that range (ie a YearLocator, MonthLocator,
MinuteLocator, etc).  If I knew which tick locator was behaving badly,
it would help me fix the problem.

If you 

  print ax.xaxis._majorLocator

after the call to plot_date, and let me know which locator it is, I
can probably figure out where the problem is.  To simplify, don't
explicitly set the date xlim range when you do this.

On a side note, in your example code you call

  ax.viewLim.intervalx().set_bounds(minXValueImPlotting, maxXValueImPlotting)

I assume you did this to narrow down the possible causes of problems.
As you know, this is the call that ax.set_xlim makes under the hood.
But in general, it's safest to stick to the axes API, ie, call

  ax.set_xlim(minXValueImPlotting, maxXValueImPlotting)

since this interface is guaranteed to be stable.

JDH

>>>>> "Curtis" == Curtis Cooper <cu...@hi...> writes:

    Curtis> Hi, I am excited about the relatively new imshow and
    Curtis> pcolor features in matplotlib.  I am using numarray to
    Curtis> reduce/diagnose planetary atmospheres simulations, which
    Curtis> consist of temperature and velocity data on gridpoints in
    Curtis> longitude, latitude, and pressure.

    Curtis> In addition to contour plots, which is on the goals list
    Curtis> for this project, I would like a feature added that allows
    Curtis> me to make velocity arrows overlaying the pcolor or imshow
    Curtis> images, as is common in meteorology maps.  Will such a
    Curtis> feature be available in matplotlib, and if so, how soon?
    Curtis> Thanks for all the great work so far!

Hi  Curtis,

Actually this is on the goals page, listed as 2D vector plots - could
be more descriptive there.  So yes, it is a priority.  But I can't
really give an estimate at this point of when it will be done.

Working in your favor is that it should be fairly easy now that line
collections exist.  These were implemented in 0.54 and allow the fast
drawing of a bunch of independent line segments, which both contours
and vector fields have.  Now that the infrastructure exists to do
these efficiently, it makes it more likely that they will be added
sooner rather than later.  But there are a number of other equally important
features on the TODO list, which is why I don't have a definite
estimate.

As the goals page states

  Priorities can be changed in one of two ways: convincing one of the
  existing developers to make an item a higher priority (for example,
  if many users request the feature) or by helping to add the feature
  yourself (i.e., becoming a new developer).

You've just done option 1.  You're invited to try option 2!

Cheers,
JDH