matplotlib-users Mailing List for matplotlib (Page 6)

# otool -L 
/Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/lib-dynload/_tkinter.so
/Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/lib-dynload/_tkinter.so:
     /Library/Frameworks/Tcl.framework/Versions/8.4/Tcl (compatibility 
version 8.4.0, current version 8.4.19)
     /Library/Frameworks/Tk.framework/Versions/8.4/Tk (compatibility 
version 8.4.0, current version 8.4.19)
     /usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current 
version 88.3.10)

I needed to modify the path in the second command, since matplotlib was 
installed into /Library/Python/2.6/site-packages. Could that be the 
issue? Anyway, here is the output:

# otool -L /Library/Python/2.6/site-packages/matplotlib/backends/_tkagg.so
/Library/Python/2.6/site-packages/matplotlib/backends/_tkagg.so:
     /usr/lib/libstdc++.6.dylib (compatibility version 7.0.0, current 
version 7.9.0)
     /usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current 
version 125.0.1)
     /usr/lib/libz.1.dylib (compatibility version 1.0.0, current version 
1.2.3)
     /System/Library/Frameworks/Tcl.framework/Versions/8.5/Tcl 
(compatibility version 8.5.0, current version 8.5.7)
     /System/Library/Frameworks/Tk.framework/Versions/8.5/Tk 
(compatibility version 8.5.0, current version 8.5.7)

I see there are some compatibility issues. What would be the best way to 
deal with it?

Thanks,
Hana

On 6/18/10 2:07 PM, Friedrich Romstedt wrote:
> 2010/6/18 Hana Sevcikova<ha...@cs...>:
>    
>> I installed python-2.6.5-macosx10.3-2010-03-24.dmg from python.org. (Sorry,
>> I should have mentioned that before.)
>>      
> Hmm, could you please run:
>
> otool -L /Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/lib-dynload/_tkinter.so
> otool -L /Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/site-packages/matplotlib/backends/_tkagg.so
>
> and post the output (copy to clipboard with | pbcopy)
>
> Friedrich
>    

2010/6/18 Hana Sevcikova <ha...@cs...>:
> I installed python-2.6.5-macosx10.3-2010-03-24.dmg from python.org. (Sorry,
> I should have mentioned that before.)

Hmm, could you please run:

otool -L /Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/lib-dynload/_tkinter.so
otool -L /Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/site-packages/matplotlib/backends/_tkagg.so

and post the output (copy to clipboard with | pbcopy)

Friedrich

Has anyone created installation package for matplotlib 0.99.3 that is 
compatible with MAC OS 10.5 and Python 2.6?  One one on the download 
site for MAC OS 10.6 doesn't work on my system (presumably because I'm 
still working with Leopard because everything else is up to date).
-- 

R. Padraic Springuel
Research Assistant
Department of Physics and Astronomy
University of Maine
Bennett 309
Office Hours: By Appointment Only

I installed python-2.6.5-macosx10.3-2010-03-24.dmg from python.org. 
(Sorry, I should have mentioned that before.)

Hana

On 6/18/10 7:11 AM, Friedrich Romstedt wrote:
> 2010/6/17 Hana Sevcikova<ha...@cs...>:
>    
>> I installed matplotlib-0.99.3-py2.6-macosx10.6.dmg on MacOS X 10.6.3,
>> python 2.6.5. But I get an error when running the histogram example from
>> http://matplotlib.sourceforge.net/examples/api/histogram_demo.html
>>      
> Have you compiled Python yourself?  I'm asking because Python 2.6.5
> from Python.org is maybe linked against another Tcl/Tk than it links
> to when you compile yourself.  (I guess the matplotlib._tkagg module
> does some patchy things.)
>
> Friedrich
>    

On 06/18/2010 07:31 AM, Ryan May wrote:
> On Thu, Jun 17, 2010 at 11:39 AM, Bill Eaton<ee...@ae...>  wrote:
>> I'm struggling to figure out how to format my data so that I can use dates
>> as x-data.
> <SNIP>
>> I tried to import my own data. It looks like
>>    2005-03-04,0.923115796
>>    2005-03-05,0.915828724
>>    2005-03-06,0.442521474
>>    2005-03-07,0.997096213
>>    2005-03-08,0.867752118


Try matplotlib's mlab.csv2rec.  It has a lot of magic built-in, 
including automatic date recognition.

Eric


>> And to import, I use recarray
>>   myarray = np.loadtxt(fullfile, dtype=[('date', '|O4'), ('ydata',
>> 'float')], delimiter = ',')
>>   rx = myarray.view(np.recarray)
>>
>> Data imports fine. But when I go to plot, I get the following error
>>   ValueError: setting an array element with a sequence.
>>   WARNING: Failure executing file:<bogus.py>
>
> You need to give np.loadtxt a converter so that it converts that first
> column of strings into datetime objects:
>
> import numpy as np
> import matplotlib.pyplot as plt
> from matplotlib import dates
> from datetime import datetime
> from StringIO import StringIO
>
> s='''
>    2005-03-04,0.923115796
>    2005-03-05,0.915828724
>    2005-03-06,0.442521474
>    2005-03-07,0.997096213
>    2005-03-08,0.867752118'''
>
> dateparser = lambda s: datetime.strptime(s, '%Y-%m-%d')
> dt = np.dtype([('date', np.object),('ydata', np.float)])
> d = np.loadtxt(StringIO(s), dtype=dt, converters={0:dateparser}, delimiter=',')
> plt.plot(d['date'], d['ydata'])
> plt.gca().xaxis.set_major_locator(dates.DayLocator())
> plt.gca().xaxis.set_major_formatter(dates.DateFormatter('%Y/%m/%d'))
> plt.show()
>
> Personally, I find it much easier to work with python datetime objects
> than any other form. You can
>
> Ryan
>

On Thu, Jun 17, 2010 at 11:39 AM, Bill Eaton <ee...@ae...> wrote:
> I'm struggling to figure out how to format my data so that I can use dates
> as x-data.
<SNIP>
> I tried to import my own data. It looks like
>   2005-03-04,0.923115796
>   2005-03-05,0.915828724
>   2005-03-06,0.442521474
>   2005-03-07,0.997096213
>   2005-03-08,0.867752118
> And to import, I use recarray
>  myarray = np.loadtxt(fullfile, dtype=[('date', '|O4'), ('ydata',
> 'float')], delimiter = ',')
>  rx = myarray.view(np.recarray)
>
> Data imports fine. But when I go to plot, I get the following error
>  ValueError: setting an array element with a sequence.
>  WARNING: Failure executing file: <bogus.py>

You need to give np.loadtxt a converter so that it converts that first
column of strings into datetime objects:

import numpy as np
import matplotlib.pyplot as plt
from matplotlib import dates
from datetime import datetime
from StringIO import StringIO

s='''
  2005-03-04,0.923115796
  2005-03-05,0.915828724
  2005-03-06,0.442521474
  2005-03-07,0.997096213
  2005-03-08,0.867752118'''

dateparser = lambda s: datetime.strptime(s, '%Y-%m-%d')
dt = np.dtype([('date', np.object),('ydata', np.float)])
d = np.loadtxt(StringIO(s), dtype=dt, converters={0:dateparser}, delimiter=',')
plt.plot(d['date'], d['ydata'])
plt.gca().xaxis.set_major_locator(dates.DayLocator())
plt.gca().xaxis.set_major_formatter(dates.DateFormatter('%Y/%m/%d'))
plt.show()

Personally, I find it much easier to work with python datetime objects
than any other form. You can

Ryan

-- 
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma

I came up with a partial solution for my problem. I found an example from
Sandro Tosi (http://www.packtpub.com/article/advanced-matplotlib-part2. I
think I may have to buy his book.) using datutil.parser. I'm not sure why a
straight numpy.load doesn't work.

Code was:
 > I tried to import my own data. It looks like 
 >    2005-03-04,0.923115796
 >    2005-03-05,0.915828724
 >    2005-03-06,0.442521474
 >    2005-03-07,0.997096213
 >    2005-03-08,0.867752118
 > And to import, I use recarray
 >   myarray = np.loadtxt(fullfile, dtype=[('date', '|O4'), ('ydata',
 > 'float')], delimiter = ',')
 >   rx = myarray.view(np.recarray)
 > 
 > Data imports fine. But when I go to plot, I get the following error
 >   ValueError: setting an array element with a sequence.
 >   WARNING: Failure executing file: <bogus.py>

If I modify to:

  import datutil

  myarray = np.loadtxt(fullfile, dtype=[('datestring', '|S22'), ('ydata',
'float')], delimiter = ',')
  dates = [dateutil.parser.parse(s) for s in myarray['datestring']]

Now I can plot with
  plt.plot(dates, myarray['ydata']

Bill Eaton

2010/6/17 Hana Sevcikova <ha...@cs...>:
> I installed matplotlib-0.99.3-py2.6-macosx10.6.dmg on MacOS X 10.6.3,
> python 2.6.5. But I get an error when running the histogram example from
> http://matplotlib.sourceforge.net/examples/api/histogram_demo.html

Have you compiled Python yourself?  I'm asking because Python 2.6.5
from Python.org is maybe linked against another Tcl/Tk than it links
to when you compile yourself.  (I guess the matplotlib._tkagg module
does some patchy things.)

Friedrich

2010/6/15 Eliot Glairon <ej...@ya...>:
> class simpleapp_tk(Tkinter.Tk):#initialize
>    def __init__(self,parent):
>        Tkinter.Tk.__init__(self,parent)
>        self.grid()

It sounds a bit odd to me to attemt to .grid() a Tk instance ... The
Tkinter.Tk() instance is the toplevel application window.  You do not
have to grid it.

Also, I don't know what the *parent* argument means to to
Tkinter.Tk.__init__().  Try to leave the parent argument alone, and
try to remove the .grid().

Friedrich

2010/6/16 Michael Droettboom <md...@st...>:
> pcolor runs directly on polar plots just fine.  No need to convert polar to
> cartesian outside of matplotlib.

It's true, but at the expense of pretty much time, since the arcs must
be rendered properly.  If your data is dense enough in r and phi, a
handmade conversion would probably gain much speedup.  Of course you
loose then also the nice polar diagram axes ... I tried this once in
polar with pixel-dense data (in a 400x400 px figure) and it takes
really forever.

I don't know if the output of the fast versions of pcolor is properly
rendered in polar axes?

Friedrich

On Thu, Jun 17, 2010 at 11:04 PM, David Smith <dav...@gm...> wrote:
> I have been developing an application using PyQt ant Matplotlib and encountered
> a problem with the mouse cursor shape being incorrect.  I found a work-around
> that seems to work, but I think this is a bug and the fix needs to go into the
> Matplotlib code base. Here are details.
>
> My application has a central widget used fo r a Matplotlib Figure.
>  Additionally there is a menu bar, button bar and two dock panels with
>  controls for the plot.  I see the following behavior for the cursor:
>
> * On start up, the cursor acts normally on startup provided
>  the mouse cursor is not inside the figure widget on start-up.
>
> * Mouse pointer shapes are set by Windows (in this case VISTA)
>  and change shape according to location.  For example, touching
>  the application window's border results in the arrow pointer
>  changing shape to a double-headed arrow indicating the border
>  can be dragged to adjust the size of the window.
>
> * Once the mouse pointer touches the Matplotlib figure widget
>  in any way, the mouse pointer will cease to show the double-arrow
>  shape on the window borders - the pointer remains an arrowhead.
>  You can still resize the window and the cursor does change to
>  a double-arrow when you press the left button.
>
> My workaround for this was to add the following lines of code in my
> application:
>
>        def onleave(self):
>           QtGui.QApplication.restoreOverrideCursor()
>
>        self.fig.canvas.mpl_connect('figure_leave_event',  onleave)
>
> I guessed these lines by studying the matplotlib code.  Probably they
> need to go somewhere inside the Matplotlib class definitions.
>
> I hope this helps developers to correct this problem.  My application
> code is medium-large and I didn't try to build a smaller example.  The
> mysterious 3-line workaround solves my problem for the moment.
> Perhaps it will help another PyQt and Matplotlib user and perhaps
> urge developers to fix the problem in the Matplotlib core.

Now that you mention it, I have seen similar behavior. Thanks for the
report, I'll look into it.

Darren

Thanks Mr.David,

I too developing an application using PyQt and Matplotlib. Though I may not
use cursor  for my application, It will keeps me the aware of the things.

With Thanks
Sathishkumar

On Fri, Jun 18, 2010 at 8:34 AM, David Smith <dav...@gm...>wrote:

> I have been developing an application using PyQt ant Matplotlib and
> encountered
> a problem with the mouse cursor shape being incorrect.  I found a
> work-around
> that seems to work, but I think this is a bug and the fix needs to go into
> the
> Matplotlib code base. Here are details.
>
> My application has a central widget used fo r a Matplotlib Figure.
>  Additionally there is a menu bar, button bar and two dock panels with
>  controls for the plot.  I see the following behavior for the cursor:
>
> * On start up, the cursor acts normally on startup provided
>  the mouse cursor is not inside the figure widget on start-up.
>
> * Mouse pointer shapes are set by Windows (in this case VISTA)
>  and change shape according to location.  For example, touching
>  the application window's border results in the arrow pointer
>  changing shape to a double-headed arrow indicating the border
>  can be dragged to adjust the size of the window.
>
> * Once the mouse pointer touches the Matplotlib figure widget
>  in any way, the mouse pointer will cease to show the double-arrow
>  shape on the window borders - the pointer remains an arrowhead.
>  You can still resize the window and the cursor does change to
>  a double-arrow when you press the left button.
>
> My workaround for this was to add the following lines of code in my
> application:
>
>        def onleave(self):
>           QtGui.QApplication.restoreOverrideCursor()
>
>        self.fig.canvas.mpl_connect('figure_leave_event',  onleave)
>
> I guessed these lines by studying the matplotlib code.  Probably they
> need to go somewhere inside the Matplotlib class definitions.
>
> I hope this helps developers to correct this problem.  My application
> code is medium-large and I didn't try to build a smaller example.  The
> mysterious 3-line workaround solves my problem for the moment.
> Perhaps it will help another PyQt and Matplotlib user and perhaps
> urge developers to fix the problem in the Matplotlib core.
>
> David Smith
>
>
> ------------------------------------------------------------------------------
> ThinkGeek and WIRED's GeekDad team up for the Ultimate
> GeekDad Father's Day Giveaway. ONE MASSIVE PRIZE to the
> lucky parental unit.  See the prize list and enter to win:
> http://p.sf.net/sfu/thinkgeek-promo
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>

I have been developing an application using PyQt ant Matplotlib and encountered
a problem with the mouse cursor shape being incorrect.  I found a work-around
that seems to work, but I think this is a bug and the fix needs to go into the
Matplotlib code base. Here are details.

My application has a central widget used fo r a Matplotlib Figure.
 Additionally there is a menu bar, button bar and two dock panels with
 controls for the plot.  I see the following behavior for the cursor:

* On start up, the cursor acts normally on startup provided
  the mouse cursor is not inside the figure widget on start-up.

* Mouse pointer shapes are set by Windows (in this case VISTA)
  and change shape according to location.  For example, touching
  the application window's border results in the arrow pointer
  changing shape to a double-headed arrow indicating the border
  can be dragged to adjust the size of the window.

* Once the mouse pointer touches the Matplotlib figure widget
  in any way, the mouse pointer will cease to show the double-arrow
  shape on the window borders - the pointer remains an arrowhead.
  You can still resize the window and the cursor does change to
  a double-arrow when you press the left button.

My workaround for this was to add the following lines of code in my
application:

        def onleave(self):
           QtGui.QApplication.restoreOverrideCursor()

        self.fig.canvas.mpl_connect('figure_leave_event',  onleave)

I guessed these lines by studying the matplotlib code.  Probably they
need to go somewhere inside the Matplotlib class definitions.

I hope this helps developers to correct this problem.  My application
code is medium-large and I didn't try to build a smaller example.  The
mysterious 3-line workaround solves my problem for the moment.
Perhaps it will help another PyQt and Matplotlib user and perhaps
urge developers to fix the problem in the Matplotlib core.

David Smith

I'm struggling to figure out how to format my data so that I can use dates
as x-data. 

I've tried the pylab examples and they execute beautifully on my Windoze and
Linux boxes. But when I try to plot data on my own, it doesn't work. 

Using api example date_demo.py as a starting point. This appears to be stock
price for Google from 2004 to 2008. Here are some clues:

 In [7]: q = np.load(datafile)
 In [8]: q
 Out[7]:
rec.array([ (datetime.date(2004, 8, 19), 100.0, 104.06, 95.959999999999994,
100.
34, 22351900L, 100.34),
       (datetime.date(2004, 8, 20), 101.01000000000001, 109.08, 100.5,
108.31, 1
1428600L, 108.31),
       (datetime.date(2004, 8, 23), 110.75, 113.48, 109.05,
109.40000000000001,
9137200L, 109.40000000000001),
       ...,
       (datetime.date(2008, 10, 10), 313.16000000000003, 341.88999999999999,
310
.30000000000001, 332.0, 10597800L, 332.0),
       (datetime.date(2008, 10, 13), 355.79000000000002, 381.94999999999999,
345
.75, 381.01999999999998, 8905500L, 381.01999999999998),
       (datetime.date(2008, 10, 14), 393.52999999999997, 394.5, 357.0,
362.70999
999999998, 7784800L, 362.70999999999998)],
      dtype=[('date', '|O4'), ('', '|V4'), ('open', '<f8'), ('high', '<f8'),
('l
ow', '<f8'), ('close', '<f8'), ('volume', '<i8'), ('adj_close', '<f8')])

  In [9]: r = q.view(np.recarray)
  In [10]: r.date
  Out[10]: array([2004-08-19, 2004-08-20, 2004-08-23, ..., 
          2008-10-10, 2008-10-13, 2008-10-14], dtype=object)

So it appears that the dtype of the date column is '|O4'

I tried to import my own data. It looks like 
   2005-03-04,0.923115796
   2005-03-05,0.915828724
   2005-03-06,0.442521474
   2005-03-07,0.997096213
   2005-03-08,0.867752118
And to import, I use recarray
  myarray = np.loadtxt(fullfile, dtype=[('date', '|O4'), ('ydata',
'float')], delimiter = ',')
  rx = myarray.view(np.recarray)

Data imports fine. But when I go to plot, I get the following error
  ValueError: setting an array element with a sequence.
  WARNING: Failure executing file: <bogus.py>

This makes me think I don't quite have everything formatted correctly. Any
ideas?

Bill Eaton

On Wed, Jun 16, 2010 at 4:06 PM, Malte Dik <mal...@we...> wrote:
> Hi,
>
> Eamon Caddigan <eam...@gm...>
>> The reason my initial attempts failed was because I (erroneously)
>> assumed that the default axis spanned (0, 0), (1, 1). Now I that I
>> know better, I can place an axis for each image in the right place and
>> everything looks fine.
>>
>> However, I'm still interested in knowing how to query the pixel size
>> of the figure, so I can translate normalized axis coordinates to pixel
>> coordinates.
>
> http://matplotlib.sourceforge.net/users/transforms_tutorial.html
>
> Maybe something along the lines
> ax.transAxes.transform((0, 0)) - ax.transAxes.transform((1, 1))

transAxes.transform() was exactly what I was looking for. Thanks!

-Eamon

On 06/17/2010 07:35 AM, Ryan May wrote:
> On Thu, Jun 17, 2010 at 11:39 AM, Benjamin Root<ben...@ou...>  wrote:
>> Try "ax.set_xticks([])", I think that works for 2D plots.
>
> Nope, labels disappear.
>
> Jeff, try this:
>
> ax.xaxis.set_ticks_position('none')
>
> Ryan
>

In [1]:plot([1,2])
Out[1]:[<matplotlib.lines.Line2D object at 0x3e11510>]

In [2]:ax = gca()

In [3]:for t in ax.xaxis.get_ticklines(): t.set_visible(False)
    ...:

In [4]:draw()

On 06/17/2010 05:52 AM, Ryan May wrote:
> On Thu, Jun 17, 2010 at 10:52 AM, Andreas Hilboll<li...@hi...>  wrote:
>> Hi there,
>>
>> I just noticed today that when I call hist() on a masked_array, also those
>> values which are masked out are displayed (with their fill_value). Is that
>> really the desired behaviour?
>>
>> I'm working in an environment where we're mostly using masked_array, but
>> also sometimes the 'normal' ndarray. So I would need to do something like
>>
>> try:
>>   data = data.compressed()
>> except:
>>   pass
>> hist(data)
>>
>> all the time ... Is there any easier solution?
>
> Unfortunately, these lines in Axes.hist():
>
>              # TODO: support masked arrays;
>              x = np.asarray(x)
>
> say it all. I think changing to asanyarray() should work (I'm not sure
> what, if anything, this would break), but there's no way for you to
> get this behavior without editing your local copy of axes.py.

It takes considerably more than that.  Nothing terribly difficult, but 
more than a couple lines.

Eric

>
> Ryan
>

On Thu, Jun 17, 2010 at 11:39 AM, Benjamin Root <ben...@ou...> wrote:
> Try "ax.set_xticks([])", I think that works for 2D plots.

Nope, labels disappear.

Jeff, try this:

ax.xaxis.set_ticks_position('none')

Ryan

-- 
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma

I've been using Axes3D to make plots and I like the output very much --
with the one exception being the faintness of the 3-D grid that is put
in the background.  The light gray used is quite difficult to see.  Is
there some way to specify the color of the grid and/or background?  I'd
be satisfied with having the grid lines darker.  I've been looking
through the axes3d.py file under mpl_toolkits/mplot3d but haven't
figured it out yet.

By the way, anyone looking to specify an initial non-default orientation
for the grid, I discovered that you can do this when instantiating your
Axes3D object this way:
ax = Axes3D(fig,elev=e,azim=a)
where e and a are the elevation about the x-axis and azimuthal rotation
about the z-axis (both in degrees).  0 azimuthal rotation has the y-z
plane in the plane of the screen; azim. rotation is defined as clockwise
as viewed from above.

Try "ax.set_xticks([])", I think that works for 2D plots.

Ben Root

On Thu, Jun 17, 2010 at 11:22 AM, Jeff Perry <je...@gm...> wrote:

> can someone tell me how to turn off the tick marks on my plot?
>
> i tried this
>
>    [line.set_marker('None') for line in ax.get_xticklines()]
>
> but this turns off the labels too.  i don't want to turn off the
> labels, just the tick marks.
>
> someone also suggested this
>
>   ax.xaxis.set_major_locator(pylab.NullLocator())
>
> but it also turns off the labels
>
>
> ------------------------------------------------------------------------------
> ThinkGeek and WIRED's GeekDad team up for the Ultimate
> GeekDad Father's Day Giveaway. ONE MASSIVE PRIZE to the
> lucky parental unit.  See the prize list and enter to win:
> http://p.sf.net/sfu/thinkgeek-promo
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>

can someone tell me how to turn off the tick marks on my plot?

i tried this

    [line.set_marker('None') for line in ax.get_xticklines()]

but this turns off the labels too.  i don't want to turn off the
labels, just the tick marks.

someone also suggested this

   ax.xaxis.set_major_locator(pylab.NullLocator())

but it also turns off the labels

On Thu, Jun 17, 2010 at 10:52 AM, Andreas Hilboll <li...@hi...> wrote:
> Hi there,
>
> I just noticed today that when I call hist() on a masked_array, also those
> values which are masked out are displayed (with their fill_value). Is that
> really the desired behaviour?
>
> I'm working in an environment where we're mostly using masked_array, but
> also sometimes the 'normal' ndarray. So I would need to do something like
>
> try:
>  data = data.compressed()
> except:
>  pass
> hist(data)
>
> all the time ... Is there any easier solution?

Unfortunately, these lines in Axes.hist():

            # TODO: support masked arrays;
            x = np.asarray(x)

say it all. I think changing to asanyarray() should work (I'm not sure
what, if anything, this would break), but there's no way for you to
get this behavior without editing your local copy of axes.py.

Ryan

-- 
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma

>
> The following gets it done, however:
>
> cb.ax.artists.remove(cb.outline)
>

or

 cb.outline.remove()

-JJ

Hi there,

I just noticed today that when I call hist() on a masked_array, also those
values which are masked out are displayed (with their fill_value). Is that
really the desired behaviour?

I'm working in an environment where we're mostly using masked_array, but
also sometimes the 'normal' ndarray. So I would need to do something like

try:
  data = data.compressed()
except:
  pass
hist(data)

all the time ... Is there any easier solution?

Cheers,

Andreas.

On Thu, Jun 17, 2010 at 10:29 AM, Jeff Perry <je...@gm...> wrote:
> can someone tell me how to turn off the frame on the colorbar?
>
> i tried this
>
> ...
> cb=plt.colorbar()
> plt.axes(cb.ax)
> plt.box(on=False)

There's no function or parameter to control this at the moment
unfortunately (I've marked this as a TODO, but I don't see a quick way
to add it at the moment).

The following gets it done, however:

cb.ax.artists.remove(cb.outline)

Ryan

-- 
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma