matplotlib-users Mailing List for matplotlib (Page 102)

If doing

c:\Python26\python.exe file.py

Then the error is on import private files, stated on my first post as
/import <something>/



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Hi,

Anything I can do to help get a binary installer for OSX?

If I wanted to build one myself - is there a good place to start
looking to understand the problems?

Cheers,

Matthew

Hello,

I don't know what exactly happened but after upgrade my python from 2.7.3 to
2.7.5 and uninstall and install again the matplotlib using pip, the pylab
worked well... Thank you in advance for your help.




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I highly recommend macports[1] as the method to install matplotlib, as I have never had issues.

-Sterling

[1] http://www.macports.org/install.php

On Oct 2, 2013, at 7:39AM, pymilo wrote:

> Hello everyone,
> 
> I want to work whit matplotlib and I installed it using pip command.
> Apparently the installation was successful and when I open ipython and
> import matplotlib everything works well. Nevertheless when I try to import
> pyplot using: import matplotlib.pyplot I obtain this:
> 
> ---------------------------------------------------------------------------
> ImportError                               Traceback (most recent call last)
> <ipython-input-11-6f467123fe04> in <module>()
> ----> 1 import matplotlib.pyplot
> 
> /Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/matplotlib/pyplot.py
> in <module>()
>     22 
>     23 import matplotlib
> ---> 24 import matplotlib.colorbar
>     25 from matplotlib import _pylab_helpers, interactive
>     26 from matplotlib.cbook import dedent, silent_list, is_string_like,
> is_numlike
> .
> .
> .
> /Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/matplotlib/mathtext.py
> in <module>()
>     60 
>     61 import matplotlib.colors as mcolors
> ---> 62 import matplotlib._png as _png
>     63 ####################
>     64 
> 
> ImportError:
> dlopen(/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/matplotlib/_png.so,
> 2): Symbol not found: _png_set_longjmp_fn
>  Referenced from:
> /Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/matplotlib/_png.so
>  Expected in: flat namespace
> in
> /Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/matplotlib/_png.so
> ---------------------------------------------------------------------------
> 
> I have installed the libpng library as was suggested in other post but
> nothing worked. I am working with a Mac OS X 10.7.5 and I have installed the
> XQuartz 2.7.4. I really do not have a clue about what is happening with
> that, I would appreciate so much if you can help me figure this problem out.
> 
> 
> All the best!
> Milo.
> 
> 
> 
> 
> 
> 
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Hello everyone,

I have a small problem installing the latest release of matplotlib. The 
following problem occurs during building (I just used 'pip install 
matplotlib' for it):

    /opt/pkg/compiler/gnu/gcc/4.7.1/bin/g++-4.7.1 -pthread -shared
    build/temp.linux-x86_64-2.7/src/_image.o
    build/temp.linux-x86_64-2.7/src/mplutils.o
    build/temp.linux-x86_64-2.7/agg24/src/agg_bezier_arc.o
    build/temp.linux-x86_64-2.7/agg24/src/agg_curves.o
    build/temp.linux-x86_64-2.7/agg24/src/agg_image_filters.o
    build/temp.linux-x86_64-2.7/agg24/src/agg_trans_affine.o
    build/temp.linux-x86_64-2.7/agg24/src/agg_vcgen_contour.o
    build/temp.linux-x86_64-2.7/agg24/src/agg_vcgen_dash.o
    build/temp.linux-x86_64-2.7/agg24/src/agg_vcgen_stroke.o
    build/temp.linux-x86_64-2.7/agg24/src/agg_vpgen_segmentator.o
    build/temp.linux-x86_64-2.7/CXX/cxx_extensions.o
    build/temp.linux-x86_64-2.7/CXX/cxxsupport.o
    build/temp.linux-x86_64-2.7/CXX/IndirectPythonInterface.o
    build/temp.linux-x86_64-2.7/CXX/cxxextensions.o -L/usr/local/lib
    -L/usr/lib -L/usr/lib64 -lstdc++ -lm -o
    build/lib.linux-x86_64-2.7/matplotlib/_image.so

    /usr/bin/ld: /usr/lib/libm.a(s_sin.o): relocation R_X86_64_32S
    against `__sincostab' can not be used when making a shared object;
    recompile with -fPIC


I don't really understand the problem. Is it possible that the libary is 
to old or the standard libm.a isn't compiled the right way?
I'm trying to build it on a server:

    Distributor ID:    Ubuntu
    Description:    Ubuntu 12.04.2 LTS
    Release:    12.04
    Codename:    precise


Do you know a way how to avoid it and not trying to build a new libm or 
something similar?

Thank you.

Best regards,
Anton

Hi Antonio,

(forgot to copy list - for archive)

On 02/10/2013 17:05, António de Sousa wrote:
> Hi Werner,
>
> thank you for your reply.
>
> Yes, the path is C:\Python26\lib\
>
> Can it be that the error message is coming from a different location?
> Meaning that there may be duplicate files (e.g. python related 
> DLLs) in the system?
I am guessing/suspecting that you don't always run the Python version 
you think you are running.

So, just to double check, if you do:

c:\Python26\python.exe

from PyQt4.QtGui import QFormLayout

You get no error?

'file.py' is your script which runs matplotlib, yes?

if above gives no error what happens if you do:

c:\Python26\python.exe file.py

Werner

Hello everyone,

I want to work whit matplotlib and I installed it using pip command.
Apparently the installation was successful and when I open ipython and
import matplotlib everything works well. Nevertheless when I try to import
pyplot using: import matplotlib.pyplot I obtain this:

---------------------------------------------------------------------------
ImportError                               Traceback (most recent call last)
<ipython-input-11-6f467123fe04> in <module>()
----> 1 import matplotlib.pyplot

/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/matplotlib/pyplot.py
in <module>()
     22 
     23 import matplotlib
---> 24 import matplotlib.colorbar
     25 from matplotlib import _pylab_helpers, interactive
     26 from matplotlib.cbook import dedent, silent_list, is_string_like,
is_numlike
.
.
.
/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/matplotlib/mathtext.py
in <module>()
     60 
     61 import matplotlib.colors as mcolors
---> 62 import matplotlib._png as _png
     63 ####################
     64 

ImportError:
dlopen(/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/matplotlib/_png.so,
2): Symbol not found: _png_set_longjmp_fn
  Referenced from:
/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/matplotlib/_png.so
  Expected in: flat namespace
 in
/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/matplotlib/_png.so
---------------------------------------------------------------------------

I have installed the libpng library as was suggested in other post but
nothing worked. I am working with a Mac OS X 10.7.5 and I have installed the
XQuartz 2.7.4. I really do not have a clue about what is happening with
that, I would appreciate so much if you can help me figure this problem out.


All the best!
Milo.






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No error message:

>>> from PyQt4.QtGui import QFormLayout
>>>




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It looks like the PyQt4 installation in python(x,y) is somehow broken.  
If you just open up the python(x, y) interpreter and type

>>> from PyQt4.QtGui import QFormLayout


or

>>> from PyQt4 import QtGui


what happens?  If that fails too, I'd say the bug is in python(x, y) (or 
however PyQt4 got installled there).

Mike

On 10/02/2013 09:19 AM, ajdcds wrote:
> Hi Mike,
>
> thank you for your interest.
>
> If I replace the following statement on formlayout.py:
>
> /try:
>      from PyQt4.QtGui import QFormLayout
> except ImportError:
>      raise ImportError, "Warning: formlayout requires PyQt4 >v4.3"/
> 	
> With this one:
>
> /from PyQt4.QtGui import QFormLayout/
>
> Then the error is the following:
>
> /Traceback (most recent call last):
>    File "file.py", line 83, in <module>
>      import <something>
>    File "includes\something.py", line 31, in <module>
>      import matplotlib.pyplot as plt
>    File "C:\Python26\lib\site-packages\matplotlib\pyplot.py", line 95, in
> <module>
>      new_figure_manager, draw_if_interactive, show = pylab_setup()
>    File "C:\Python26\lib\site-packages\matplotlib\backends\__init__.py", line
> 25, in pylab_setup
>      globals(),locals(),[backend_name])
>    File
> "C:\Python26\lib\site-packages\matplotlib\backends\backend_qt4agg.py", line
> 12, in <module>
>      from backend_qt4 import QtCore, QtGui, FigureManagerQT, FigureCanvasQT,\
>    File "C:\Python26\lib\site-packages\matplotlib\backends\backend_qt4.py",
> line 18, in <module>
>      import matplotlib.backends.qt4_editor.figureoptions as figureoptions
>    File
> "C:\Python26\lib\site-packages\matplotlib\backends\qt4_editor\figureoptions.py",
> line 11, in <module>
>      import matplotlib.backends.qt4_editor.formlayout as formlayout
>    File
> "C:\Python26\lib\site-packages\matplotlib\backends\qt4_editor\formlayout.py",
> line 53, in <module>
>      from PyQt4.QtGui import QFormLayout
> ImportError: DLL load failed: The specified procedure could not be found./
>
>
>
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Hi Mike,

thank you for your interest.

If I replace the following statement on formlayout.py:

/try: 
    from PyQt4.QtGui import QFormLayout 
except ImportError: 
    raise ImportError, "Warning: formlayout requires PyQt4 >v4.3"/
	
With this one:

/from PyQt4.QtGui import QFormLayout/

Then the error is the following:

/Traceback (most recent call last):
  File "file.py", line 83, in <module>
    import <something>
  File "includes\something.py", line 31, in <module>
    import matplotlib.pyplot as plt
  File "C:\Python26\lib\site-packages\matplotlib\pyplot.py", line 95, in
<module>
    new_figure_manager, draw_if_interactive, show = pylab_setup()
  File "C:\Python26\lib\site-packages\matplotlib\backends\__init__.py", line
25, in pylab_setup
    globals(),locals(),[backend_name])
  File
"C:\Python26\lib\site-packages\matplotlib\backends\backend_qt4agg.py", line
12, in <module>
    from backend_qt4 import QtCore, QtGui, FigureManagerQT, FigureCanvasQT,\
  File "C:\Python26\lib\site-packages\matplotlib\backends\backend_qt4.py",
line 18, in <module>
    import matplotlib.backends.qt4_editor.figureoptions as figureoptions
  File
"C:\Python26\lib\site-packages\matplotlib\backends\qt4_editor\figureoptions.py",
line 11, in <module>
    import matplotlib.backends.qt4_editor.formlayout as formlayout
  File
"C:\Python26\lib\site-packages\matplotlib\backends\qt4_editor\formlayout.py",
line 53, in <module>
    from PyQt4.QtGui import QFormLayout
ImportError: DLL load failed: The specified procedure could not be found./



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On 10/02/2013 05:35 AM, ajdcds wrote:
> I have a system that has Python(x,y)-2.6.6.2.exe installed.
> When running the script "file.py" the following error occurs:
>
> /Traceback (most recent call last):
>   File "file.py", line xx, in <module>
>     import <something>
>   File "includes\something.py", line 31, in <module>
>     import matplotlib.pyplot as plt
>   File "C:\Python26\lib\site-packages\matplotlib\pyplot.py", line 95, in
> <module>
>     new_figure_manager, draw_if_interactive, show = pylab_setup()
>   File "C:\Python26\lib\site-packages\matplotlib\backends\__init__.py", line
> 25, in pylab_setup
>     globals(),locals(),[backend_name])
>   File "C:\Python26\lib\site-packages\matplotlib\backends\backend_qt4agg.py",
> line 12, in <module>
>     from backend_qt4 import QtCore, QtGui, FigureManagerQT, FigureCanvasQT,\
>   File "C:\Python26\lib\site-packages\matplotlib\backends\backend_qt4.py",
> line 18, in <module>
>     import matplotlib.backends.qt4_editor.figureoptions as figureoptions
>   File
> "C:\Python26\lib\site-packages\matplotlib\backends\qt4_editor\figureoptions.py",
> line 11, in <module>
>     import matplotlib.backends.qt4_editor.formlayout as formlayout
>   File
> "C:\Python26\lib\site-packages\matplotlib\backends\qt4_editor\formlayout.py",
> line 51, in <module>
>     raise ImportError, "Warning: formlayout requires PyQt4 >v4.3"
> ImportError: Warning: formlayout requires PyQt4 >v4.3 /
>
> I think this error message is not related with the real problem, since this
> is just an hardcoded string that is displayed in case the import fails
> (formlayout.py):
> /try:
>      from PyQt4.QtGui import QFormLayout
> except ImportError:
>      raise ImportError, "Warning: formlayout requires PyQt4 >v4.3"/
>
> If I remove this error message the new error message is that he cannot find
> the DLL.

Can you copy-and-paste the exact error message?  That will offer some clues.

Mike

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|  ||(_| |(_|(/_| |_/|(_)(/_|_ |_|_)(_)(_)| | |

http://www.droettboom.com

I have a system that has Python(x,y)-2.6.6.2.exe installed.
When running the script "file.py" the following error occurs:

/Traceback (most recent call last): 
 File "file.py", line xx, in <module> 
   import <something> 
 File "includes\something.py", line 31, in <module> 
   import matplotlib.pyplot as plt 
 File "C:\Python26\lib\site-packages\matplotlib\pyplot.py", line 95, in
<module> 
   new_figure_manager, draw_if_interactive, show = pylab_setup() 
 File "C:\Python26\lib\site-packages\matplotlib\backends\__init__.py", line
25, in pylab_setup 
   globals(),locals(),[backend_name]) 
 File "C:\Python26\lib\site-packages\matplotlib\backends\backend_qt4agg.py",
line 12, in <module> 
   from backend_qt4 import QtCore, QtGui, FigureManagerQT, FigureCanvasQT,\ 
 File "C:\Python26\lib\site-packages\matplotlib\backends\backend_qt4.py",
line 18, in <module> 
   import matplotlib.backends.qt4_editor.figureoptions as figureoptions 
 File
"C:\Python26\lib\site-packages\matplotlib\backends\qt4_editor\figureoptions.py",
line 11, in <module> 
   import matplotlib.backends.qt4_editor.formlayout as formlayout 
 File
"C:\Python26\lib\site-packages\matplotlib\backends\qt4_editor\formlayout.py",
line 51, in <module> 
   raise ImportError, "Warning: formlayout requires PyQt4 >v4.3" 
ImportError: Warning: formlayout requires PyQt4 >v4.3 /

I think this error message is not related with the real problem, since this
is just an hardcoded string that is displayed in case the import fails
(formlayout.py):
/try:
    from PyQt4.QtGui import QFormLayout
except ImportError:
    raise ImportError, "Warning: formlayout requires PyQt4 >v4.3"/

If I remove this error message the new error message is that he cannot find
the DLL.

If I install matplotlib-1.0.1.win32-py2.6.exe then this error does not occur
anymore.

Could anyone please explain me what is the difference when the matplotlib is
installed via Python(x,y)
or when it is installed separately on top of Python(x,y)?

I saw that there are a few differences on User and System Environment
variable PATH, but I've tried
different combinations and was not able to get rid of this error when the
system does not have the
matplotlib-1.0.1.win32-py2.6.exe installed.

Thank you in advance for your support.
Kind regards,
Antonio




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> Subject: Re: [Matplotlib-users] x axis non-uniform labeling (KURT PETERS)
> From: sm...@fu...
> Date: Tue, 1 Oct 2013 11:34:39 -0700
> CC: pmh...@gm...; mat...@li...
> To: pet...@ms...
> 
> 
> On Oct 1, 2013, at 8:59AM, KURT PETERS wrote:
> 
> > 
> > REPLY:
> > ============================================================
> >  
> > here's what SHOULD be happening
> >  
> >     | 0   1   5  9 13 18 21 24 25 28
> >  3 |                     x
> >     |                x          x
> >     |           x                    x
> >     |       x                             x
> > -1|_x__________________x_____
> >        1    2  3   4  5    6   7   8   9  10
> >  
> > How can I make that happen?  Instead, MPL is autoranging the top axis.  I don't want that   I just want the actual labels to occur up there.
> >  
> > Kurt
> 
> Kurt,
> 
> Here is a self-contained example of what I think you are asking for:
> 
> {{{
> import matplotlib.pyplot as plt
> import numpy as np
> from matplotlib.ticker import FuncFormatter, MaxNLocator
> 
> simtimedata = np.array([0, 1, 5, 9, 13, 18, 21, 24, 25, 28, 31, 32, 41, 55, 56, 57])
> idatanp = np.array([-1,0, 1, 2, 3, 2, 1, 0, -1, -2, -3, -2, -1, 0, -1, -2])
> xdat = range(len(simtimedata))
> fig = plt.figure()
> 
> ax1 = fig.add_subplot(211)
> ax1.plot(xdat,idatanp)
> ax1.grid(True)
> ax2 = fig.add_subplot(212)
> ax2.plot(xdat, idatanp.real,'k-o')
> def index_to_label(i,dummy):
>     if i >= 0 and i < len(simtimedata):
>         return str(simtimedata[i])
>     else:
>         return ''
> 
> form = FuncFormatter(index_to_label)
> ax2.xaxis.set_major_formatter(form)
> 
> #ax2.set_title("time domain")
> ax2.grid(True)
> plt.show()
> }}}
> 
> You may also be interested in this question and answer on stackoverflow:
> http://stackoverflow.com/questions/3918028/how-do-i-plot-multiple-x-or-y-axes-in-matplotlib
> 
> -Sterling
> 

Thanks Sterling, 
That's exactly what I was looking for.  I ended up creating a class because I wasn't comfortable using either a lambda function or simtimedata as a global variable (just a style issue).  In case someone's been following along and wants the final code:
...
from matplotlib.ticker import Formatter
class MyFormatter(Formatter):
    def __init__(self, simtime):
        self.simtime = simtime
    def __call__(self,val,pos=0):
        if val >= 0 and val < len(self.simtime):
            return str(self.simtime[val])
        else:
            return ''
xdat=np.arange(0,10)
simtimedata = np.array([ 0, 1, 5, 9, 13, 18, 21, 24, 25, 28])
idatanp = np.array    ([-1,0, 1, 2,  3,  2,  1,  0, -1, -2])
print idatanp.shape
print simtimedata.shape
print xdat.shape
fig = plt.figure()
intformatter = MyFormatter(simtimedata)
ax1 = fig.add_subplot(211)
ax1.plot(xdat,idatanp)
ax1.grid(True)
ax2 = fig.add_subplot(212)
ax2.plot(xdat, idatanp.real,'k-o')
ax2.xaxis.set_major_formatter(intformatter)
ax2.set_title("time domain")
ax2.grid(True)
plt.show()
 
 		 	   		  

On Oct 1, 2013, at 8:59AM, KURT PETERS wrote:

> 
> REPLY:
> ============================================================
>  
> here's what SHOULD be happening
>  
>     | 0   1   5  9 13 18 21 24 25 28
>  3 |                     x
>     |                x          x
>     |           x                    x
>     |       x                             x
> -1|_x__________________x_____
>        1    2  3   4  5    6   7   8   9  10
>  
> How can I make that happen?  Instead, MPL is autoranging the top axis.  I don't want that   I just want the actual labels to occur up there.
>  
> Kurt

Kurt,

Here is a self-contained example of what I think you are asking for:

{{{
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.ticker import FuncFormatter, MaxNLocator

simtimedata = np.array([0, 1, 5, 9, 13, 18, 21, 24, 25, 28, 31, 32, 41, 55, 56, 57])
idatanp = np.array([-1,0, 1, 2, 3, 2, 1, 0, -1, -2, -3, -2, -1, 0, -1, -2])
xdat = range(len(simtimedata))
fig = plt.figure()

ax1 = fig.add_subplot(211)
ax1.plot(xdat,idatanp)
ax1.grid(True)
ax2 = fig.add_subplot(212)
ax2.plot(xdat, idatanp.real,'k-o')
def index_to_label(i,dummy):
    if i >= 0 and i < len(simtimedata):
        return str(simtimedata[i])
    else:
        return ''

form = FuncFormatter(index_to_label)
ax2.xaxis.set_major_formatter(form)

#ax2.set_title("time domain")
ax2.grid(True)
plt.show()
}}}

You may also be interested in this question and answer on stackoverflow:
http://stackoverflow.com/questions/3918028/how-do-i-plot-multiple-x-or-y-axes-in-matplotlib

-Sterling

On Tue, Oct 1, 2013 at 1:55 PM, KURT PETERS <pet...@ms...> wrote:

>
>
> > Date: Tue, 1 Oct 2013 19:35:39 +0200
>
> > Subject: Re: [Matplotlib-users] x axis non-uniform labeling (KURT PETERS)
> > From: goy...@gm...
> > To: pet...@ms...
> > CC: pmh...@gm...; mat...@li...
>
> >
> > 2013/10/1 KURT PETERS <pet...@ms...>:
> > > here's what SHOULD be happening
> > >
> > > | 0 1 5 9 13 18 21 24 25 28
> > > 3 | x
> > > | x x
> > > | x x
> > > | x x
> > > -1|_x__________________x_____
> > > 1 2 3 4 5 6 7 8 9 10
> > >
> > > How can I make that happen? Instead, MPL is autoranging the top axis. I
> > > don't want that I just want the actual labels to occur up there.
> >
> > Then just set the ticks and the tick labels of the axis:
> >
> > import numpy as np
> > import matplotlib.pyplot as plt
> > xdat=np.arange(1,11)
> > simtimedata = np.array([0, 1, 5, 9, 13, 18, 21, 24, 25, 28])
> > idatanp = np.array([-1,0, 1, 2, 3, 2, 1, 0, -1, -2])
> > ax1 = plt.subplot(111)
> > ax1.plot(xdat,idatanp)
> > ax2 = ax1.twiny()
> > ax2.set_xticks(range(len(xdat)))
> > ax2.set_xticklabels(simtimedata)
> > plt.show()
> >
> > Goyo
>
> Goyo,
>   Thanks, the code below seems to work.  The problem is that with
> "REAL/actual" data, I have SO many data points that each point is now
> labeled and it takes forever to render.  And when it does render, I cannot
> read the axis because there are too many there.  Is there a way to
> judiciously have it only display a certain number of values?  Such as every
> 100th value?
> Kurt
> xdat=np.arange(1,11)
> simtimedata = np.array([0, 1, 5, 9, 13, 18, 21, 24, 25, 28])
> idatanp = np.array([-1,0, 1, 2, 3, 2, 1, 0, -1, -2])
> print idatanp.shape
> print simtimedata.shape
> print xdat.shape
> fig = plt.figure()
>
> ax1 = fig.add_subplot(211)
> ax1.plot(xdat,idatanp)
> ax1.grid(True)
> ax2 = fig.add_subplot(212)
> ax2.plot(xdat, idatanp.real,'k-o')
> ax2.set_xticks(xdat)
> ax2.set_xticklabels(simtimedata)
> #ax2.set_title("time domain")
> ax2.grid(True)
> plt.show()
>

The philosophy of matplotlib is to have smart defaults, but always allow
the user to override.  Perhaps you are looking for a particular "ticker"?

http://matplotlib.org/api/ticker_api.html

I hope this helps!
Ben Root

On Oct 1, 2013, at 11:01AM, Jody Klymak wrote:

> 
> On Oct 1, 2013, at  10:55 AM, KURT PETERS <pet...@ms...> wrote:
> 
>> Goyo,
>>   Thanks, the code below seems to work.  The problem is that with "REAL/actual" data, I have SO many data points that each point is now labeled and it takes forever to render.  And when it does render, I cannot read the axis because there are too many there.  Is there a way to judiciously have it only display a certain number of values?  Such as every 100th value?
>> Kurt
>> 
>> ax2.set_xticks(xdat)
>> ax2.set_xticklabels(simtimedata)
> 
> ax2.set_xticks(xdat[::100])
> ax2.set_xticklabels(simtimedata[::100])
> 
> Cheers,  Jody
> 
I thought that, too, but then he used the word 'judiciously'.  I think that you want to change the xaxis major formatter so that it returns the indexed element of simtimedata as the label.  Example to come in a moment.
-Sterling

On Oct 1, 2013, at  10:55 AM, KURT PETERS <pet...@ms...> wrote:

> Goyo,
>   Thanks, the code below seems to work.  The problem is that with "REAL/actual" data, I have SO many data points that each point is now labeled and it takes forever to render.  And when it does render, I cannot read the axis because there are too many there.  Is there a way to judiciously have it only display a certain number of values?  Such as every 100th value?
> Kurt
> 
> ax2.set_xticks(xdat)
> ax2.set_xticklabels(simtimedata)

ax2.set_xticks(xdat[::100])
ax2.set_xticklabels(simtimedata[::100])

Cheers,  Jody

--
Jody Klymak    
http://web.uvic.ca/~jklymak/

 
> Date: Tue, 1 Oct 2013 19:35:39 +0200
> Subject: Re: [Matplotlib-users] x axis non-uniform labeling (KURT PETERS)
> From: goy...@gm...
> To: pet...@ms...
> CC: pmh...@gm...; mat...@li...
> 
> 2013/10/1 KURT PETERS <pet...@ms...>:
> > here's what SHOULD be happening
> >
> >     | 0   1   5  9 13 18 21 24 25 28
> >  3 |                     x
> >     |                x          x
> >     |           x                    x
> >     |       x                             x
> > -1|_x__________________x_____
> >        1    2  3   4  5    6   7   8   9  10
> >
> > How can I make that happen?  Instead, MPL is autoranging the top axis.  I
> > don't want that   I just want the actual labels to occur up there.
> 
> Then just set the ticks and the tick labels of the axis:
> 
> import numpy as np
> import matplotlib.pyplot as plt
> xdat=np.arange(1,11)
> simtimedata = np.array([0, 1, 5, 9, 13, 18, 21, 24, 25, 28])
> idatanp = np.array([-1,0, 1, 2, 3, 2, 1, 0, -1, -2])
> ax1 = plt.subplot(111)
> ax1.plot(xdat,idatanp)
> ax2 = ax1.twiny()
> ax2.set_xticks(range(len(xdat)))
> ax2.set_xticklabels(simtimedata)
> plt.show()
> 
> Goyo
 Goyo,  Thanks, the code below seems to work.  The problem is that with "REAL/actual" data, I have SO many data points that each point is now labeled and it takes forever to render.  And when it does render, I cannot read the axis because there are too many there.  Is there a way to judiciously have it only display a certain number of values?  Such as every 100th value?Kurtxdat=np.arange(1,11)
simtimedata = np.array([0, 1, 5, 9, 13, 18, 21, 24, 25, 28])
idatanp = np.array([-1,0, 1, 2, 3, 2, 1, 0, -1, -2])
print idatanp.shape
print simtimedata.shape
print xdat.shape
fig = plt.figure()
ax1 = fig.add_subplot(211)
ax1.plot(xdat,idatanp)
ax1.grid(True)
ax2 = fig.add_subplot(212)
ax2.plot(xdat, idatanp.real,'k-o')
ax2.set_xticks(xdat)
ax2.set_xticklabels(simtimedata)
#ax2.set_title("time domain")
ax2.grid(True)
plt.show()  		 	   		  

2013/10/1 KURT PETERS <pet...@ms...>:
> here's what SHOULD be happening
>
>     | 0   1   5  9 13 18 21 24 25 28
>  3 |                     x
>     |                x          x
>     |           x                    x
>     |       x                             x
> -1|_x__________________x_____
>        1    2  3   4  5    6   7   8   9  10
>
> How can I make that happen?  Instead, MPL is autoranging the top axis.  I
> don't want that   I just want the actual labels to occur up there.

Then just set the ticks and the tick labels of the axis:

import numpy as np
import matplotlib.pyplot as plt
xdat=np.arange(1,11)
simtimedata = np.array([0, 1, 5, 9, 13, 18, 21, 24, 25, 28])
idatanp = np.array([-1,0, 1, 2, 3, 2, 1, 0, -1, -2])
ax1 = plt.subplot(111)
ax1.plot(xdat,idatanp)
ax2 = ax1.twiny()
ax2.set_xticks(range(len(xdat)))
ax2.set_xticklabels(simtimedata)
plt.show()

Goyo

It's not really clear to me what you're trying to do. But the rounding of the axes limits is an expected behavior of matplotlib. You can set them manually if you like. Also, I think this achieves what you want and is much simpler.

import numpy as npimport matplotlib.pyplot as pltxdat=np.arange(1,11)simtimedata = np.array([0, 1, 5, 9, 13, 18, 21, 24, 25, 28])
idatanp = np.array([-1,0, 1, 2, 3, 2, 1, 0, -1, -2])
fig, (ax1, ax2) = plt.subplots(nrows=2, sharey=True) ax1.plot(xdat,idatanp)ax2.plot(simtimedata, idatanp,'k--')
ax2.set_xlim([simtimedata.min(), simtimedata.max()])
REPLY:============================================================ here's what SHOULD be happening     | 0   1   5  9 13 18 21 24 25 28 3 |                     x    |                x          x    |           x                    x    |       x                             x-1|_x__________________x_____       1    2  3   4  5    6   7   8   9  10 How can I make that happen?  Instead, MPL is autoranging the top axis.  I don't want that   I just want the actual labels to occur up there. Kurt
 		 	   		  

On Mon, Sep 30, 2013 at 4:50 PM, KURT PETERS <pet...@ms...> wrote:

> That doesn't seem to fix it.  What I'm expecting is at the top, 28 should
> correspond to the value -2.  Instead it puts a 30 there.
> Kurt
>
>

It's not really clear to me what you're trying to do. But the rounding of
the axes limits is an expected behavior of matplotlib. You can set them
manually if you like. Also, I think this achieves what you want and is much
simpler.


import numpy as np
import matplotlib.pyplot as plt

xdat=np.arange(1,11)
simtimedata = np.array([0, 1, 5, 9, 13, 18, 21, 24, 25, 28])
idatanp = np.array([-1,0, 1, 2, 3, 2, 1, 0, -1, -2])


fig, (ax1, ax2) = plt.subplots(nrows=2, sharey=True)

ax1.plot(xdat,idatanp)
ax2.plot(simtimedata, idatanp,'k--')
ax2.set_xlim([simtimedata.min(), simtimedata.max()])

fig.tight_layout()

That doesn't seem to fix it.  What I'm expecting is at the top, 28 should correspond to the value -2.  Instead it puts a 30 there.
Kurt
 
Date: Mon, 30 Sep 2013 16:20:50 -0700
Subject: Re: [Matplotlib-users] x axis non-uniform labeling (KURT PETERS)
From: pmh...@gm...
To: pet...@ms...
CC: mat...@li...



On Mon, Sep 30, 2013 at 1:43 PM, KURT PETERS <pet...@ms...> wrote:




I'm including the code below to demonstrate the problem.  The top should have simtimedata (0 through 28) labeling the points.  As you can see, MATPLOTLIB just distributes those values evenly instead of assigning them properly.

Any ideas?
 
#!/usr/bin/env python
import numpy as np
from matplotlib import rc
import matplotlib.pyplot as plt
import matplotlib.mlab as mlab
import re
from matplotlib.ticker import EngFormatter

xdat=np.arange(1,11)
simtimedata = np.array([0, 1, 5, 9, 13, 18, 21, 24, 25, 28])
idatanp = np.array([-1,0, 1, 2, 3, 2, 1, 0, -1, -2])
print idatanp.shape
print simtimedata.shape
print xdat.shape
fig = plt.figure()


ax1 = fig.add_subplot(211)
ax1.plot(xdat,idatanp)
ax2 = fig.add_subplot(212)
#ax1.plot(x1, x1,'b--')
ax3 = ax2.twiny()
ax2.plot(xdat, idatanp.real,'k-o')
ax3.plot(simtimedata, idatanp,'k--',alpha=0)

ax2.set_title("time domain")
ax2.grid(True)
plt.show()

> 
> I'm trying to find a glitch in an FPGA simulation.  The data stored in a file is:
> (simulation time, y)
>  
> In reality, if I plot that I get large gaps because the simulation time continues and data is only output periodically.  In other words simulation time is not continuous.  I'd like to view the data without the gaps, but with simulation time annotating the x-axis so I can determine where the glitch occurs.  

> I've tried a variety of things:
> #ax1.plot(x1, x1,'b--')
> #ax3 = ax2.twiny()
> ax2.set_xticklabels(simtimedata, fontdict=None, minor=False, rotation = 45)
> ax2.plot( idatanp.real,'k--',idatanp.imag,'g.-')

> #ax2.plot(xdat, idatanp.real,'k--',xdat,idatanp.imag,'g.-')
> #ax3.plot(simtimedata, idatanp.real,'k--',alpha=0)
>  
> but cannot get the axis to both show the data all together AND show where the glitch occurs.  I thought the twiny might help to put another x axis up so I could plot the data first with the x axis incrementing based on when the data is read in, and then trying to place labels showing simulation time.

>  
> Does anyone have any ideas how I could do this?
> Kurt

Kurt, 
You need to show ax3's xticklabels somewhere. Like this:
import numpy as npfrom matplotlib import rcimport matplotlib.pyplot as pltimport matplotlib.mlab as mlabimport refrom matplotlib.ticker import EngFormatter
xdat=np.arange(1,11)simtimedata = np.array([0, 1, 5, 9, 13, 18, 21, 24, 25, 28])idatanp = np.array([-1,0, 1, 2, 3, 2, 1, 0, -1, -2])

fig = plt.figure()
ax1 = fig.add_subplot(211)ax1.plot(xdat,idatanp)
ax2 = fig.add_subplot(212)ax3 = ax2.twiny()
ax2.plot(xdat, idatanp.real,'k-o')
ax3.plot(simtimedata, idatanp,'k--',alpha=0)
 # ---- show ax3's xticklabels
ax3.xaxis.tick_top()  ax2.set_title("time domain")ax2.grid(True)
fig.tight_layout()
 		 	   		  

On 2013/09/30 3:45 AM, Mark Bakker wrote:
> The design of the function datestr2num, unfortunately, has an undesired
> side-effect.
> Today (September 30) I cannot convert monthly data, as February doesn't
> have 30 days.
> Conversion of:
> datestr2num('2000-02')
> Gives an error:
> ValueError: day is out of range for month
>
> Should I file a bug report or a feature request?

I would classify it as a bug resulting from a bad default in dateutil.

Eric

>
> Thanks,
>
> Mark
>
>
>
>     On Thu, Sep 19, 2013 at 11:38 PM, Goyo <goy...@gm...
>     <mailto:goy...@gm...>> wrote:
>
>         2013/9/19 Mark Bakker <ma...@gm...
>         <mailto:ma...@gm...>>:
>          > Hello List,
>          >
>          > When I use datestr2num('2010-05') it nicely converts that to
>         a number
>          > representing the date.
>          > When I convert that number back with num2date, it turns out
>         it sets the day
>          > to the 19th of the month. The dime is 0:00:00.
>          > Any reason it is set to the 19th instead of the first?
>          > Maybe because today it the 19th, or is that just a coincidence?
>
>         datestr2num calls dateutil.parser.parse, which by default uses the
>         current date at 00:00:00 for missing fields. The dateutil function
>         also can use a "default" argument to change this bahavoir but it is
>         not available in datestr2num.
>
>         http://labix.org/python-dateutil#head-a23e8ae0a661d77b89dfb3476f85b26f0b30349c
>
>         Goyo
>
>
>
>
>
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>

On Mon, Sep 30, 2013 at 1:43 PM, KURT PETERS <pet...@ms...> wrote:

> I'm including the code below to demonstrate the problem.  The top should
> have simtimedata (0 through 28) labeling the points.  As you can see,
> MATPLOTLIB just distributes those values evenly instead of assigning them
> properly.
> Any ideas?
>
> #!/usr/bin/env python
> import numpy as np
> from matplotlib import rc
> import matplotlib.pyplot as plt
> import matplotlib.mlab as mlab
> import re
> from matplotlib.ticker import EngFormatter
> xdat=np.arange(1,11)
> simtimedata = np.array([0, 1, 5, 9, 13, 18, 21, 24, 25, 28])
> idatanp = np.array([-1,0, 1, 2, 3, 2, 1, 0, -1, -2])
> print idatanp.shape
> print simtimedata.shape
> print xdat.shape
> fig = plt.figure()
>
> ax1 = fig.add_subplot(211)
> ax1.plot(xdat,idatanp)
> ax2 = fig.add_subplot(212)
> #ax1.plot(x1, x1,'b--')
> ax3 = ax2.twiny()
> ax2.plot(xdat, idatanp.real,'k-o')
> ax3.plot(simtimedata, idatanp,'k--',alpha=0)
> ax2.set_title("time domain")
> ax2.grid(True)
> plt.show()
>
> >
> > I'm trying to find a glitch in an FPGA simulation. The data stored in a
> file is:
> > (simulation time, y)
> >
> > In reality, if I plot that I get large gaps because the simulation time
> continues and data is only output periodically. In other words simulation
> time is not continuous. I'd like to view the data without the gaps, but
> with simulation time annotating the x-axis so I can determine where the
> glitch occurs.
> > I've tried a variety of things:
> > #ax1.plot(x1, x1,'b--')
> > #ax3 = ax2.twiny()
> > ax2.set_xticklabels(simtimedata, fontdict=None, minor=False, rotation =
> 45)
> > ax2.plot( idatanp.real,'k--',idatanp.imag,'g.-')
> > #ax2.plot(xdat, idatanp.real,'k--',xdat,idatanp.imag,'g.-')
> > #ax3.plot(simtimedata, idatanp.real,'k--',alpha=0)
> >
> > but cannot get the axis to both show the data all together AND show
> where the glitch occurs. I thought the twiny might help to put another x
> axis up so I could plot the data first with the x axis incrementing based
> on when the data is read in, and then trying to place labels showing
> simulation time.
> >
> > Does anyone have any ideas how I could do this?
> > Kurt
>

Kurt,

You need to show ax3's xticklabels somewhere. Like this:
import numpy as np
from matplotlib import rc
import matplotlib.pyplot as plt
import matplotlib.mlab as mlab
import re
from matplotlib.ticker import EngFormatter
xdat=np.arange(1,11)
simtimedata = np.array([0, 1, 5, 9, 13, 18, 21, 24, 25, 28])
idatanp = np.array([-1,0, 1, 2, 3, 2, 1, 0, -1, -2])


fig = plt.figure()
ax1 = fig.add_subplot(211)
ax1.plot(xdat,idatanp)

ax2 = fig.add_subplot(212)
ax3 = ax2.twiny()

ax2.plot(xdat, idatanp.real,'k-o')
ax3.plot(simtimedata, idatanp,'k--',alpha=0)

 # ---- show ax3's xticklabels
ax3.xaxis.tick_top()
ax2.set_title("time domain")
ax2.grid(True)
fig.tight_layout()

I'm including the code below to demonstrate the problem.  The top should have simtimedata (0 through 28) labeling the points.  As you can see, MATPLOTLIB just distributes those values evenly instead of assigning them properly.
Any ideas?
 
#!/usr/bin/env python
import numpy as np
from matplotlib import rc
import matplotlib.pyplot as plt
import matplotlib.mlab as mlab
import re
from matplotlib.ticker import EngFormatter
xdat=np.arange(1,11)
simtimedata = np.array([0, 1, 5, 9, 13, 18, 21, 24, 25, 28])
idatanp = np.array([-1,0, 1, 2, 3, 2, 1, 0, -1, -2])
print idatanp.shape
print simtimedata.shape
print xdat.shape
fig = plt.figure()

ax1 = fig.add_subplot(211)
ax1.plot(xdat,idatanp)
ax2 = fig.add_subplot(212)
#ax1.plot(x1, x1,'b--')
ax3 = ax2.twiny()
ax2.plot(xdat, idatanp.real,'k-o')
ax3.plot(simtimedata, idatanp,'k--',alpha=0)
ax2.set_title("time domain")
ax2.grid(True)
plt.show()

> 
> I'm trying to find a glitch in an FPGA simulation.  The data stored in a file is:
> (simulation time, y)
>  
> In reality, if I plot that I get large gaps because the simulation time continues and data is only output periodically.  In other words simulation time is not continuous.  I'd like to view the data without the gaps, but with simulation time annotating the x-axis so I can determine where the glitch occurs.  
> I've tried a variety of things:
> #ax1.plot(x1, x1,'b--')
> #ax3 = ax2.twiny()
> ax2.set_xticklabels(simtimedata, fontdict=None, minor=False, rotation = 45)
> ax2.plot( idatanp.real,'k--',idatanp.imag,'g.-')
> #ax2.plot(xdat, idatanp.real,'k--',xdat,idatanp.imag,'g.-')
> #ax3.plot(simtimedata, idatanp.real,'k--',alpha=0)
>  
> but cannot get the axis to both show the data all together AND show where the glitch occurs.  I thought the twiny might help to put another x axis up so I could plot the data first with the x axis incrementing based on when the data is read in, and then trying to place labels showing simulation time.
>  
> Does anyone have any ideas how I could do this?
> Kurt