matplotlib-users — Discussion related to using matplotlib

[Matplotlib-users] error installing basemap

[Michael R. <raw...@ya...>]

Following instructions here:

http://matplotlib.org/basemap/users/installing.html

Got this error and termination after issuing python setup.py install from the basemap directory.


src/_proj.c:4:20: fatal error: Python.h: No such file or directory
compilation terminated.
error: Command "gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC -Isrc -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c src/_proj.c -o build/temp.linux-i686-2.7/src/_proj.o" failed with exit status 1



I'm running a new installation of Ubuntu 12.04. I installed Python and Matplotlib through package manager. Several examples tested fine. I see no Python.h file on my system. Thanks in advance for suggestions.

MR

Re: [Matplotlib-users] Font compatibility issue with Adobe Illustrator and MPL PDF's

[Michael D. <md...@st...>]

Have you tried setting pdf.fonttype to "42", which will include the font 
verbatim rather than trying to subset it?  That may help with 
illustrator.  You may also have better luck importing an SVG into 
Illustrator.

Mike

On 09/13/2012 02:46 AM, florisvb wrote:
> I'm trying to get my pdf outputs from matplotlib to work properly in
> illustrator, but keep having the issue that illustrator does not recognize
> the computer modern fonts (eg. CMR10 etc). Everything else seems to work
> perfectly.
>
> I'm running matplotlib (1.1.1) in ubuntu precise, and illustrator (CS3) on
> my mac. I installed the fonts-cmu package on my ubuntu machine, and I have
> the cm fonts installed in illustrator (eg. cmr10 etc. as well as CMU Serif
> etc). I've been using the following options in matplotlib for pdf rendering,
> and haven't been able to make the fonts work in illustrator:
>
> backend: Agg (also tried pdf)
> usedistiller: xpdf
> font.family: serif
> font.serif: CMU Serif
> text.usetex: True
> text.latex.unicode: True (also tried the default)
>
> After some searching it seemed like I should try the Pgf backend project,
> which supports xelatex:
> https://github.com/pwuertz
>
> But after importing that pgf backend with:
>
> import matplotlib as mpl
> mpl.use("module://backend_pgf")
>
> then importing matplotlib.pyplot yields this error:
>
> from matplotlib.cbook import check_output
> ImportError: cannot import name check_output
>
> All I could find after search was that I needed python 2.7+... but I am
> using python 2.7.3.
>
> Any suggestions for how to get my matplotlib/pdf fonts to work properly in
> Illustrator would be much appreciated... via whatever method is easiest!
>
> Thanks,
>
> - Floris
>
>
>
>
>
>
>
> --
> View this message in context: http://matplotlib.1069221.n5.nabble.com/Font-compatibility-issue-with-Adobe-Illustrator-and-MPL-PDF-s-tp38904.html
> Sent from the matplotlib - users mailing list archive at Nabble.com.
>
> ------------------------------------------------------------------------------
> Live Security Virtual Conference
> Exclusive live event will cover all the ways today's security and
> threat landscape has changed and how IT managers can respond. Discussions
> will include endpoint security, mobile security and the latest in malware
> threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users

Re: [Matplotlib-users] linestyles in matplotlib.pyplot.plot

[Goutam P. <gou...@ie...>]

Can we use the markers as alternatives for linestyles?
Consider the following in sage:

Suppose I have defined f(x) for a range already, say by the following:

x = np.arange(0,1,0.001)

import matplotlib.pyplot as plt

plt.plot(x,f(x), color='magenta', linestyle='--', linewidth=4,
label="$f(x)$")

I want to know the equivalent syntax for '++' marker for the same plot of
f(x) against (x).

On Thu, Sep 13, 2012 at 1:02 AM, Damon McDougall
<dam...@gm...>wrote:

> On Wed, Sep 12, 2012 at 11:31 PM, Goutam Paul <gou...@ie...>
> wrote:
> > It seems that there are only five line-styles:
> >
> > "-" (solid) – default
> > "--" (dashed)
> > "-." (dash dot)
> > ":" (dotted)
> > "None" or " " or "" (nothing)
> >
> > What if I want to have more linestyles? Say, ++, **, xx, ~~, etc. Is it
> > possible to have user-defined linestyles? How?
> >
>
> User-defined line styles is difficult. There is an open github issue
> on this topic: https://github.com/matplotlib/matplotlib/issues/346
>
> Though, porting some of the existing markers over as linestyles would
> be a nice addition, I think.
>
> --
> Damon McDougall
> http://www.damon.is-a-geek.com
> B2.39
> Mathematics Institute
> University of Warwick
> Coventry
> West Midlands
> CV4 7AL
> United Kingdom
>

Re: [Matplotlib-users] zoomed in detail box

[darkside <in....@gm...>]

Exactly, changing (0.5, 0.5) to something like  (0.6, 0.5) has no effect in
my side.

My python version is: 2.7.2
and matplotlib: 1.1.0

So maybe is a version problem, but it's the work computer so I can't update
easily anything. I will try other computer.

Thank you all for your help,
Illa


2012/9/12 Dale Chayes <dal...@he...>

> [replying only to the list -Dale]
>
> On Sep 12, 2012, at 07:02 , Jae-Joon Lee wrote:
>
> > Your code works as expected in my side.
>
> I wasn't quite sure what to expect, but based on Jae-Joon's note:
>
> > So, changing (0.5, 0.5) to something like  (0.6, 0.5) has no effect in
> > your side?
>
> It seems to work on my installation. I actually changed to (0.3,0.5) which
> made a nice view.
>
> > Hmm, what is you matplotlib version?
>
> OS X 10.7.4 using python and tools from fink:
> i   python27                         1:2.7.3-1
> i   python27-shlibs                  1:2.7.3-1
> i   matplotlib-basemap-py27          1.0.2-1
> i   matplotlib-py27                  1.1.1-1
> i   numpy-py27                       1.6.1-1
>
> Thanks to the folks who make this work,
> -Dale
>
>
> > Maybe this is a bug in old version of matplotlib.
> >
> > Regards,
> >
> > -JJ
> >
> >
> > On Wed, Sep 12, 2012 at 6:16 PM, darkside <in....@gm...>
> wrote:
> >> Thank you for your help.
> >>
> >> A simple example that doesn't work for me is:
> >> ----------------------------------------
> >> import pylab as p
> >> import numpy as np
> >> from mpl_toolkits.axes_grid.inset_locator import zoomed_inset_axes
> >> from mpl_toolkits.axes_grid.inset_locator import mark_inset
> >> from mpl_toolkits.axes_grid.anchored_artists import AnchoredSizeBar
> >> from matplotlib.ticker import MaxNLocator
> >>
> >> fig = p.figure(figsize=(12,8))
> >> ax = p.subplot(111)
> >>
> >> z = p.arange(0,1.415,0.01)
> >> d = z**2+np.random.random(len(z))
> >>
> >> ax.plot(z,d,'ro',label='text')
> >>
> >> p.xlabel('z',fontsize=18)
> >> p.ylabel('Luminosity distance',fontsize=18)
> >> p.grid(True)
> >>
> >> axins = zoomed_inset_axes(ax,
> >> 3,bbox_to_anchor=(0.5,0.5),bbox_transform=ax.figure.transFigure, loc=2)
> >>
> >>
> >> axins.plot(z,d,'r.')
> >>
> >> ax.legend(loc=2,bbox_to_anchor=(1,1))
> >>
> >> x,y = (0.86,1.3)
> >> x2,y2 = (1,1.7)
> >> axins.set_xlim(x,x2)
> >> axins.set_ylim(y,y2)
> >> axins.tick_params(axis='both',labelsize=12)
> >> axins.xaxis.set_major_locator(MaxNLocator(2))
> >> axins.yaxis.set_major_locator(MaxNLocator(3))
> >>
> >> mark_inset(ax,axins,loc1=1,loc2=3, fc="none", ec="0.5")
> >>
> >> p.draw()
> >> p.show()
> >> -----------------------------------------------------------
> >> The "bbox_to_anchor" label is supposed to move the zoomed axis, but it
> does
> >> nothing, no matter what two numbers I place there.
> >> I guess that I miss something, but I can't figure out what. I really
> >> appreciate your help.
> >>
> >> Best regards,
> >> Illa
> >>
> >>
> >>
> >> 2012/9/5 Jae-Joon Lee <lee...@gm...>
> >>>
> >>> On Mon, Aug 20, 2012 at 10:50 PM, darkside <in....@gm...>
> >>> wrote:
> >>>> I am using zoomed_inset_axes, but the default position overlaps the
> >>>> yticks
> >>>> and the parent axe ticks, so I am trying:
> >>>> axins = zoomed_inset_axes(ax,
> >>>> 3,bbox_to_anchor(0.5,1),bbox_transform=ax.figure.transFigure, loc=2)
> >>>
> >>> This is supposed to work, and my quick test did work. Can you post a
> >>> complete but simple exampl?
> >>>
> >>> Regards,
> >>>
> >>> -JJ
> >>
> >>
> >
> >
> ------------------------------------------------------------------------------
> > Live Security Virtual Conference
> > Exclusive live event will cover all the ways today's security and
> > threat landscape has changed and how IT managers can respond. Discussions
> > will include endpoint security, mobile security and the latest in malware
> > threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/
> > _______________________________________________
> > Matplotlib-users mailing list
> > Mat...@li...
> > https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>
>
> ------------------------------------------------------------------------------
> Live Security Virtual Conference
> Exclusive live event will cover all the ways today's security and
> threat landscape has changed and how IT managers can respond. Discussions
> will include endpoint security, mobile security and the latest in malware
> threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>

[Matplotlib-users] Font compatibility issue with Adobe Illustrator and MPL PDF's

[florisvb <flo...@gm...>]

I'm trying to get my pdf outputs from matplotlib to work properly in
illustrator, but keep having the issue that illustrator does not recognize
the computer modern fonts (eg. CMR10 etc). Everything else seems to work
perfectly.

I'm running matplotlib (1.1.1) in ubuntu precise, and illustrator (CS3) on
my mac. I installed the fonts-cmu package on my ubuntu machine, and I have
the cm fonts installed in illustrator (eg. cmr10 etc. as well as CMU Serif
etc). I've been using the following options in matplotlib for pdf rendering,
and haven't been able to make the fonts work in illustrator:

backend: Agg (also tried pdf)
usedistiller: xpdf
font.family: serif
font.serif: CMU Serif
text.usetex: True
text.latex.unicode: True (also tried the default)

After some searching it seemed like I should try the Pgf backend project,
which supports xelatex:
https://github.com/pwuertz

But after importing that pgf backend with:

import matplotlib as mpl
mpl.use("module://backend_pgf")

then importing matplotlib.pyplot yields this error:

from matplotlib.cbook import check_output
ImportError: cannot import name check_output

All I could find after search was that I needed python 2.7+... but I am
using python 2.7.3.

Any suggestions for how to get my matplotlib/pdf fonts to work properly in
Illustrator would be much appreciated... via whatever method is easiest!

Thanks,

- Floris







--
View this message in context: http://matplotlib.1069221.n5.nabble.com/Font-compatibility-issue-with-Adobe-Illustrator-and-MPL-PDF-s-tp38904.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

Re: [Matplotlib-users] linestyles in matplotlib.pyplot.plot

[Damon M. <dam...@gm...>]

On Wed, Sep 12, 2012 at 11:31 PM, Goutam Paul <gou...@ie...> wrote:
> It seems that there are only five line-styles:
>
> "-" (solid) – default
> "--" (dashed)
> "-." (dash dot)
> ":" (dotted)
> "None" or " " or "" (nothing)
>
> What if I want to have more linestyles? Say, ++, **, xx, ~~, etc. Is it
> possible to have user-defined linestyles? How?
>

User-defined line styles is difficult. There is an open github issue
on this topic: https://github.com/matplotlib/matplotlib/issues/346

Though, porting some of the existing markers over as linestyles would
be a nice addition, I think.

-- 
Damon McDougall
http://www.damon.is-a-geek.com
B2.39
Mathematics Institute
University of Warwick
Coventry
West Midlands
CV4 7AL
United Kingdom

[Matplotlib-users] linestyles in matplotlib.pyplot.plot

[Goutam P. <gou...@ie...>]

It seems that there are only five line-styles:

"-" (solid) – default
"--" (dashed)
"-." (dash dot)
":" (dotted)
"None" or " " or "" (nothing)

What if I want to have more linestyles? Say, ++, **, xx, ~~, etc. Is it
possible to have user-defined linestyles? How?

Re: [Matplotlib-users] Drag, add, remove points from a plot with the mouse

[Filipe P. A. F. <oc...@gm...>]

OK, a little bit more of manual reading I got the "drag point"
working.  Now, even though it works, I would like the opinion of
someone with more experience on event handling to improve that.

Thanks, Filipe

On Wed, Sep 12, 2012 at 6:14 PM, Filipe Pires Alvarenga Fernandes
<oc...@gm...> wrote:
> After some modifications and manual reading I got "insert" point and
> "delete" point working, but I still cannot make the "drag" point
> work...
>
> -Filipe
>
>
> On Wed, Sep 12, 2012 at 4:04 PM, Filipe Pires Alvarenga Fernandes
> <oc...@gm...> wrote:
>> Hi all,
>>
>> I am trying to create a class to edit the points of a plot based on
>> the poly_editor.py example.  However, I have very little experience
>> with even handling and I need some help.
>>
>> Here is what I did so far, the "toggle" on/off works fine.  Also I
>> believe that actions "press", "release", "insert", "delete" are OK.
>> However, I am stuck at the drawing part of the problem.
>>
>> if anyone have an example of that to share or it you want to check
>> what I made so far:
>>
>> http://dl.dropbox.com/u/4411725/point_editor.py
>>
>> Thanks, Filipe.

Re: [Matplotlib-users] Drag, add, remove points from a plot with the mouse

[Filipe P. A. F. <oc...@gm...>]

After some modifications and manual reading I got "insert" point and
"delete" point working, but I still cannot make the "drag" point
work...

-Filipe


On Wed, Sep 12, 2012 at 4:04 PM, Filipe Pires Alvarenga Fernandes
<oc...@gm...> wrote:
> Hi all,
>
> I am trying to create a class to edit the points of a plot based on
> the poly_editor.py example.  However, I have very little experience
> with even handling and I need some help.
>
> Here is what I did so far, the "toggle" on/off works fine.  Also I
> believe that actions "press", "release", "insert", "delete" are OK.
> However, I am stuck at the drawing part of the problem.
>
> if anyone have an example of that to share or it you want to check
> what I made so far:
>
> http://dl.dropbox.com/u/4411725/point_editor.py
>
> Thanks, Filipe.

[Matplotlib-users] Drag, add, remove points from a plot with the mouse

[Filipe P. A. F. <oc...@gm...>]

Hi all,

I am trying to create a class to edit the points of a plot based on
the poly_editor.py example.  However, I have very little experience
with even handling and I need some help.

Here is what I did so far, the "toggle" on/off works fine.  Also I
believe that actions "press", "release", "insert", "delete" are OK.
However, I am stuck at the drawing part of the problem.

if anyone have an example of that to share or it you want to check
what I made so far:

http://dl.dropbox.com/u/4411725/point_editor.py

Thanks, Filipe.

Re: [Matplotlib-users] legend(loc='best') not so great

[Damon M. <dam...@gm...>]

On Wed, Sep 12, 2012 at 5:57 PM, Aronne Merrelli
<aro...@gm...> wrote:
> On Tue, Sep 11, 2012 at 10:49 AM, Damon McDougall
> <dam...@gm...> wrote:
>> On Tue, Sep 11, 2012 at 3:34 PM, Neal Becker <ndb...@gm...> wrote:
>>> OK, I've attached my sanitized example
>>>
>>
>> ImportError: No module named pandas.
>>
>> Can you provide an example that doesn't depend on pandas?
>>
>
> I was playing with this example to remove the pandas stuff, and It
> looks a lot like the check for the best legend location is just not
> accounting correctly for the multiple legend entries in this case.
> Here is an even more minimal example, that I think reproduces the same
> problem as Neal's original example.
>
> colors = ['b','g','r']
> for n in range(3):
>     plt.scatter([n,],[n,],color=colors[n])
> plt.legend(['foo','foo','foo'],loc='best')
>
>
> Note that if you just put one legend name in there, the location is
> perfectly fine, it is just as it extends downward for the second and
> third names, that it covers over the point.
>
> FYI: Im using v1.1.0 mpl, in EPD 7.2.
>
> HTH,
> Aronne
>

Aronne, thanks for taking the time to produce a nice example. I can
now recreate the problem. I'm not sure how invasive it will be to fix
this, so it possibly won't make it in for version 1.2, but possibly a
bugfix release after the fact.

For anyone who's interested, here's the github issue:
https://github.com/matplotlib/matplotlib/issues/1235

-- 
Damon McDougall
http://www.damon.is-a-geek.com
B2.39
Mathematics Institute
University of Warwick
Coventry
West Midlands
CV4 7AL
United Kingdom

Re: [Matplotlib-users] legend(loc='best') not so great

[Aronne M. <aro...@gm...>]

On Tue, Sep 11, 2012 at 10:49 AM, Damon McDougall
<dam...@gm...> wrote:
> On Tue, Sep 11, 2012 at 3:34 PM, Neal Becker <ndb...@gm...> wrote:
>> OK, I've attached my sanitized example
>>
>
> ImportError: No module named pandas.
>
> Can you provide an example that doesn't depend on pandas?
>

I was playing with this example to remove the pandas stuff, and It
looks a lot like the check for the best legend location is just not
accounting correctly for the multiple legend entries in this case.
Here is an even more minimal example, that I think reproduces the same
problem as Neal's original example.

colors = ['b','g','r']
for n in range(3):
    plt.scatter([n,],[n,],color=colors[n])
plt.legend(['foo','foo','foo'],loc='best')


Note that if you just put one legend name in there, the location is
perfectly fine, it is just as it extends downward for the second and
third names, that it covers over the point.

FYI: Im using v1.1.0 mpl, in EPD 7.2.

HTH,
Aronne

Re: [Matplotlib-users] a memory leak in matplotlib plot embedded inwxpython

[Barraclough, D. \(e. 414\) <dj...@qv...>]

 

Happiness - Upgrading numpy to v 1.6.2 - I had been using 1.6.0b - seems
to have fixed things - my app's memory usage is now flat.

 

Dominic

 

________________________________

From: Barraclough, Dominic (ext. 414) [mailto:dj...@qv...] 
Sent: Tuesday, September 11, 2012 4:28 PM
To: mat...@li...
Subject: [Matplotlib-users] a memory leak in matplotlib plot embedded
inwxpython

 

 

I'm using matplotlib plots embedded in a wxpython application to display
a stream of data. The application works effectively but I have noticed
that memory usage rises substantially over time (if left long enough the
process can go from 50MB to near 1GB of RAM). After some
experimentation, I have tracked the problem down to the canvas.draw()
call needed to refresh my matplotlib plos. Thinking that the problem may
be due to how I coded up my plots I looked to see if the problem was
present in the examples given at

 

http://matplotlib.sourceforge.net/examples/user_interfaces

 

and found that the problem seem to be present in some the examples
posted there if I added a timer to cause the canvas draw to be
repeatedly performed. 

 

 

The example below is based on  

 

http://matplotlib.sourceforge.net/examples/user_interfaces/embedding_in_
wx2.html

 

and has been instrumented to report memory usage when running in
Windows. My tests indicate that working set memory rises by 11 to 12
Kbytes at each plot. 

 

Some what to my surprise, I found the same issue when I ran an even
simpler version on a linux mint virtual box running on my win7 system.
(I have not explored this much so somebody else might want to test
things on a non virtual linux box)  I assume this implies that python is
probably keeping something alive that was expected to be automatically
cleaned up at each draw. I have made some effort to localize the problem
further but right now I don't have the necessary  time to get heavily
into the inner workings of matplotlib or wxpython 

 

Has any body else seen this problem before, and if so, has any body a
work around that allows rapid replotting - I would guess that I could
periodically flush the figure and re build my plots but this would cause
periodic glitches in plotting? 

 

 

Dominic

 

 

System details

 

Win7 ultimate service pack1

Python 2.6.6 (but I've seen the problem with python2.5 and 2.7)

Matplotlib 1.1.1 (but also in earlier versions)

Wxpython 2.9.4.0 msw (classic) (put also on 2.8.12.0 unicode)

 

 

Example 

------------------------------------------------------------------------
-----------------------------------------------------------

import wxversion

wxversion.ensureMinimal('2.8')

 

from numpy import arange, sin, pi

 

import matplotlib

 

# uncomment the following to use wx rather than wxagg

#matplotlib.use('WX')

#from matplotlib.backends.backend_wx import FigureCanvasWx as
FigureCanvas

 

# comment out the following to use wx rather than wxagg

matplotlib.use('WXAgg')

from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg as
FigureCanvas

 

from matplotlib.backends.backend_wx import NavigationToolbar2Wx

 

from matplotlib.figure import Figure

import win32process

import wx

 

class CanvasFrame(wx.Frame):

 

    def __init__(self):

        wx.Frame.__init__(self,None,-1,

                         'CanvasFrame',size=(550,350))

 

        #self.SetBackgroundColour(wx.NamedColor("WHITE")) # 2.9 does not
like

 

        self.figure = Figure()

        self.axes = self.figure.add_subplot(111)

        t = arange(0.0,3.0,0.01)

        s = sin(2*pi*t)

 

        self.axes.plot(t,s)

        self.canvas = FigureCanvas(self, -1, self.figure)

 

        self.sizer = wx.BoxSizer(wx.VERTICAL)

        self.sizer.Add(self.canvas, 1, wx.LEFT | wx.TOP | wx.GROW)

        self.SetSizer(self.sizer)

        self.Fit()

 

        self.add_toolbar()  # comment this out for no toolbar

        self.timer = wx.Timer(self, -1)

        

        self.Bind(wx.EVT_TIMER, self.OnUpdate)

        self.delay = 200

        self.timer.Start(self.delay, oneShot = False)

        self.proc_id = win32process.GetCurrentProcess()

        adict = win32process.GetProcessMemoryInfo(self.proc_id)

        self.memory_old = adict["WorkingSetSize"]

        self.i = 0

        

    def add_toolbar(self):

        self.toolbar = NavigationToolbar2Wx(self.canvas)

        self.toolbar.Realize()

        if wx.Platform == '__WXMAC__':

            # Mac platform (OSX 10.3, MacPython) does not seem to cope
with

            # having a toolbar in a sizer. This work-around gets the
buttons

            # back, but at the expense of having the toolbar at the top

            self.SetToolBar(self.toolbar)

        else:

            # On Windows platform, default window size is incorrect, so
set

            # toolbar width to figure width.

            tw, th = self.toolbar.GetSizeTuple()

            fw, fh = self.canvas.GetSizeTuple()

            # By adding toolbar in sizer, we are able to put it at the
bottom

            # of the frame - so appearance is closer to GTK version.

            # As noted above, doesn't work for Mac.

            self.toolbar.SetSize(wx.Size(fw, th))

            self.sizer.Add(self.toolbar, 0, wx.LEFT | wx.EXPAND)

        # update the axes menu on the toolbar

        self.toolbar.update()

 

 

    def OnUpdate(self, evt):

        self.OnPaint( evt)

        self.i +=1

        the_count =25

        if self.i %the_count ==0:            

            adict_now = win32process.GetProcessMemoryInfo(self.proc_id)

            memory_now = adict_now["WorkingSetSize"]

            delta = (memory_now - self.memory_old )/ (the_count *1024.0)
#convert to kbytes per update

            self.memory_old = memory_now

            print "memory now = %i delta = %f\n" %(memory_now, delta)

        

    def OnPaint(self, event):

        self.canvas.draw()

 

class App(wx.App):

 

    def OnInit(self):

        'Create the main window and insert the custom frame'

        frame = CanvasFrame()

        frame.Show(True)

 

        return True

 

app = App(0)

app.MainLoop()

Re: [Matplotlib-users] zoomed in detail box

[Dale C. <dal...@he...>]

[replying only to the list -Dale]

On Sep 12, 2012, at 07:02 , Jae-Joon Lee wrote:

> Your code works as expected in my side.

I wasn't quite sure what to expect, but based on Jae-Joon's note:

> So, changing (0.5, 0.5) to something like  (0.6, 0.5) has no effect in
> your side?

It seems to work on my installation. I actually changed to (0.3,0.5) which made a nice view.
 
> Hmm, what is you matplotlib version?

OS X 10.7.4 using python and tools from fink: 
i   python27                         1:2.7.3-1
i   python27-shlibs                  1:2.7.3-1
i   matplotlib-basemap-py27          1.0.2-1
i   matplotlib-py27                  1.1.1-1
i   numpy-py27                       1.6.1-1

Thanks to the folks who make this work,
-Dale


> Maybe this is a bug in old version of matplotlib.
> 
> Regards,
> 
> -JJ
> 
> 
> On Wed, Sep 12, 2012 at 6:16 PM, darkside <in....@gm...> wrote:
>> Thank you for your help.
>> 
>> A simple example that doesn't work for me is:
>> ----------------------------------------
>> import pylab as p
>> import numpy as np
>> from mpl_toolkits.axes_grid.inset_locator import zoomed_inset_axes
>> from mpl_toolkits.axes_grid.inset_locator import mark_inset
>> from mpl_toolkits.axes_grid.anchored_artists import AnchoredSizeBar
>> from matplotlib.ticker import MaxNLocator
>> 
>> fig = p.figure(figsize=(12,8))
>> ax = p.subplot(111)
>> 
>> z = p.arange(0,1.415,0.01)
>> d = z**2+np.random.random(len(z))
>> 
>> ax.plot(z,d,'ro',label='text')
>> 
>> p.xlabel('z',fontsize=18)
>> p.ylabel('Luminosity distance',fontsize=18)
>> p.grid(True)
>> 
>> axins = zoomed_inset_axes(ax,
>> 3,bbox_to_anchor=(0.5,0.5),bbox_transform=ax.figure.transFigure, loc=2)
>> 
>> 
>> axins.plot(z,d,'r.')
>> 
>> ax.legend(loc=2,bbox_to_anchor=(1,1))
>> 
>> x,y = (0.86,1.3)
>> x2,y2 = (1,1.7)
>> axins.set_xlim(x,x2)
>> axins.set_ylim(y,y2)
>> axins.tick_params(axis='both',labelsize=12)
>> axins.xaxis.set_major_locator(MaxNLocator(2))
>> axins.yaxis.set_major_locator(MaxNLocator(3))
>> 
>> mark_inset(ax,axins,loc1=1,loc2=3, fc="none", ec="0.5")
>> 
>> p.draw()
>> p.show()
>> -----------------------------------------------------------
>> The "bbox_to_anchor" label is supposed to move the zoomed axis, but it does
>> nothing, no matter what two numbers I place there.
>> I guess that I miss something, but I can't figure out what. I really
>> appreciate your help.
>> 
>> Best regards,
>> Illa
>> 
>> 
>> 
>> 2012/9/5 Jae-Joon Lee <lee...@gm...>
>>> 
>>> On Mon, Aug 20, 2012 at 10:50 PM, darkside <in....@gm...>
>>> wrote:
>>>> I am using zoomed_inset_axes, but the default position overlaps the
>>>> yticks
>>>> and the parent axe ticks, so I am trying:
>>>> axins = zoomed_inset_axes(ax,
>>>> 3,bbox_to_anchor(0.5,1),bbox_transform=ax.figure.transFigure, loc=2)
>>> 
>>> This is supposed to work, and my quick test did work. Can you post a
>>> complete but simple exampl?
>>> 
>>> Regards,
>>> 
>>> -JJ
>> 
>> 
> 
> ------------------------------------------------------------------------------
> Live Security Virtual Conference
> Exclusive live event will cover all the ways today's security and 
> threat landscape has changed and how IT managers can respond. Discussions 
> will include endpoint security, mobile security and the latest in malware 
> threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users

Re: [Matplotlib-users] Fwd: zoomed in detail box

[Jae-Joon L. <lee...@gm...>]

Your code works as expected in my side.
So, changing (0.5, 0.5) to something like  (0.6, 0.5) has no effect in
your side?
Hmm, what is you matplotlib version? Maybe this is a bug in old
version of matplotlib.

Regards,

-JJ


On Wed, Sep 12, 2012 at 6:16 PM, darkside <in....@gm...> wrote:
> Thank you for your help.
>
> A simple example that doesn't work for me is:
> ----------------------------------------
> import pylab as p
> import numpy as np
> from mpl_toolkits.axes_grid.inset_locator import zoomed_inset_axes
> from mpl_toolkits.axes_grid.inset_locator import mark_inset
> from mpl_toolkits.axes_grid.anchored_artists import AnchoredSizeBar
> from matplotlib.ticker import MaxNLocator
>
> fig = p.figure(figsize=(12,8))
> ax = p.subplot(111)
>
> z = p.arange(0,1.415,0.01)
> d = z**2+np.random.random(len(z))
>
> ax.plot(z,d,'ro',label='text')
>
> p.xlabel('z',fontsize=18)
> p.ylabel('Luminosity distance',fontsize=18)
> p.grid(True)
>
> axins = zoomed_inset_axes(ax,
> 3,bbox_to_anchor=(0.5,0.5),bbox_transform=ax.figure.transFigure, loc=2)
>
>
> axins.plot(z,d,'r.')
>
> ax.legend(loc=2,bbox_to_anchor=(1,1))
>
> x,y = (0.86,1.3)
> x2,y2 = (1,1.7)
> axins.set_xlim(x,x2)
> axins.set_ylim(y,y2)
> axins.tick_params(axis='both',labelsize=12)
> axins.xaxis.set_major_locator(MaxNLocator(2))
> axins.yaxis.set_major_locator(MaxNLocator(3))
>
> mark_inset(ax,axins,loc1=1,loc2=3, fc="none", ec="0.5")
>
> p.draw()
> p.show()
> -----------------------------------------------------------
> The "bbox_to_anchor" label is supposed to move the zoomed axis, but it does
> nothing, no matter what two numbers I place there.
> I guess that I miss something, but I can't figure out what. I really
> appreciate your help.
>
> Best regards,
> Illa
>
>
>
> 2012/9/5 Jae-Joon Lee <lee...@gm...>
>>
>> On Mon, Aug 20, 2012 at 10:50 PM, darkside <in....@gm...>
>> wrote:
>> > I am using zoomed_inset_axes, but the default position overlaps the
>> > yticks
>> > and the parent axe ticks, so I am trying:
>> > axins = zoomed_inset_axes(ax,
>> > 3,bbox_to_anchor(0.5,1),bbox_transform=ax.figure.transFigure, loc=2)
>>
>> This is supposed to work, and my quick test did work. Can you post a
>> complete but simple exampl?
>>
>> Regards,
>>
>> -JJ
>
>

Re: [Matplotlib-users] Fwd: zoomed in detail box

[darkside <in....@gm...>]

Thank you for your help.

A simple example that doesn't work for me is:
----------------------------------------
import pylab as p
import numpy as np
from mpl_toolkits.axes_grid.inset_locator import zoomed_inset_axes
from mpl_toolkits.axes_grid.inset_locator import mark_inset
from mpl_toolkits.axes_grid.anchored_artists import AnchoredSizeBar
from matplotlib.ticker import MaxNLocator

fig = p.figure(figsize=(12,8))
ax = p.subplot(111)

z = p.arange(0,1.415,0.01)
d = z**2+np.random.random(len(z))

ax.plot(z,d,'ro',label='text')

p.xlabel('z',fontsize=18)
p.ylabel('Luminosity distance',fontsize=18)
p.grid(True)

axins = zoomed_inset_axes(ax,
3,bbox_to_anchor=(0.5,0.5),bbox_transform=ax.figure.transFigure, loc=2)


axins.plot(z,d,'r.')

ax.legend(loc=2,bbox_to_anchor=(1,1))

x,y = (0.86,1.3)
x2,y2 = (1,1.7)
axins.set_xlim(x,x2)
axins.set_ylim(y,y2)
axins.tick_params(axis='both',labelsize=12)
axins.xaxis.set_major_locator(MaxNLocator(2))
axins.yaxis.set_major_locator(MaxNLocator(3))

mark_inset(ax,axins,loc1=1,loc2=3, fc="none", ec="0.5")

p.draw()
p.show()
-----------------------------------------------------------
The "bbox_to_anchor" label is supposed to move the zoomed axis, but it does
nothing, no matter what two numbers I place there.
I guess that I miss something, but I can't figure out what. I really
appreciate your help.

Best regards,
Illa


2012/9/5 Jae-Joon Lee <lee...@gm...>

> On Mon, Aug 20, 2012 at 10:50 PM, darkside <in....@gm...>
> wrote:
> > I am using zoomed_inset_axes, but the default position overlaps the
> yticks
> > and the parent axe ticks, so I am trying:
> > axins = zoomed_inset_axes(ax,
> > 3,bbox_to_anchor(0.5,1),bbox_transform=ax.figure.transFigure, loc=2)
>
> This is supposed to work, and my quick test did work. Can you post a
> complete but simple exampl?
>
> Regards,
>
> -JJ
>

[Matplotlib-users] a memory leak in matplotlib plot embedded in wxpython

[Barraclough, D. \(e. 414\) <dj...@qv...>]

 

I'm using matplotlib plots embedded in a wxpython application to display
a stream of data. The application works effectively but I have noticed
that memory usage rises substantially over time (if left long enough the
process can go from 50MB to near 1GB of RAM). After some
experimentation, I have tracked the problem down to the canvas.draw()
call needed to refresh my matplotlib plos. Thinking that the problem may
be due to how I coded up my plots I looked to see if the problem was
present in the examples given at

 

http://matplotlib.sourceforge.net/examples/user_interfaces

 

and found that the problem seem to be present in some the examples
posted there if I added a timer to cause the canvas draw to be
repeatedly performed. 

 

 

The example below is based on  

 

http://matplotlib.sourceforge.net/examples/user_interfaces/embedding_in_
wx2.html

 

and has been instrumented to report memory usage when running in
Windows. My tests indicate that working set memory rises by 11 to 12
Kbytes at each plot. 

 

Some what to my surprise, I found the same issue when I ran an even
simpler version on a linux mint virtual box running on my win7 system.
(I have not explored this much so somebody else might want to test
things on a non virtual linux box)  I assume this implies that python is
probably keeping something alive that was expected to be automatically
cleaned up at each draw. I have made some effort to localize the problem
further but right now I don't have the necessary  time to get heavily
into the inner workings of matplotlib or wxpython 

 

Has any body else seen this problem before, and if so, has any body a
work around that allows rapid replotting - I would guess that I could
periodically flush the figure and re build my plots but this would cause
periodic glitches in plotting? 

 

 

Dominic

 

 

System details

 

Win7 ultimate service pack1

Python 2.6.6 (but I've seen the problem with python2.5 and 2.7)

Matplotlib 1.1.1 (but also in earlier versions)

Wxpython 2.9.4.0 msw (classic) (put also on 2.8.12.0 unicode)

 

 

Example 

------------------------------------------------------------------------
-----------------------------------------------------------

import wxversion

wxversion.ensureMinimal('2.8')

 

from numpy import arange, sin, pi

 

import matplotlib

 

# uncomment the following to use wx rather than wxagg

#matplotlib.use('WX')

#from matplotlib.backends.backend_wx import FigureCanvasWx as
FigureCanvas

 

# comment out the following to use wx rather than wxagg

matplotlib.use('WXAgg')

from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg as
FigureCanvas

 

from matplotlib.backends.backend_wx import NavigationToolbar2Wx

 

from matplotlib.figure import Figure

import win32process

import wx

 

class CanvasFrame(wx.Frame):

 

    def __init__(self):

        wx.Frame.__init__(self,None,-1,

                         'CanvasFrame',size=(550,350))

 

        #self.SetBackgroundColour(wx.NamedColor("WHITE")) # 2.9 does not
like

 

        self.figure = Figure()

        self.axes = self.figure.add_subplot(111)

        t = arange(0.0,3.0,0.01)

        s = sin(2*pi*t)

 

        self.axes.plot(t,s)

        self.canvas = FigureCanvas(self, -1, self.figure)

 

        self.sizer = wx.BoxSizer(wx.VERTICAL)

        self.sizer.Add(self.canvas, 1, wx.LEFT | wx.TOP | wx.GROW)

        self.SetSizer(self.sizer)

        self.Fit()

 

        self.add_toolbar()  # comment this out for no toolbar

        self.timer = wx.Timer(self, -1)

        

        self.Bind(wx.EVT_TIMER, self.OnUpdate)

        self.delay = 200

        self.timer.Start(self.delay, oneShot = False)

        self.proc_id = win32process.GetCurrentProcess()

        adict = win32process.GetProcessMemoryInfo(self.proc_id)

        self.memory_old = adict["WorkingSetSize"]

        self.i = 0

        

    def add_toolbar(self):

        self.toolbar = NavigationToolbar2Wx(self.canvas)

        self.toolbar.Realize()

        if wx.Platform == '__WXMAC__':

            # Mac platform (OSX 10.3, MacPython) does not seem to cope
with

            # having a toolbar in a sizer. This work-around gets the
buttons

            # back, but at the expense of having the toolbar at the top

            self.SetToolBar(self.toolbar)

        else:

            # On Windows platform, default window size is incorrect, so
set

            # toolbar width to figure width.

            tw, th = self.toolbar.GetSizeTuple()

            fw, fh = self.canvas.GetSizeTuple()

            # By adding toolbar in sizer, we are able to put it at the
bottom

            # of the frame - so appearance is closer to GTK version.

            # As noted above, doesn't work for Mac.

            self.toolbar.SetSize(wx.Size(fw, th))

            self.sizer.Add(self.toolbar, 0, wx.LEFT | wx.EXPAND)

        # update the axes menu on the toolbar

        self.toolbar.update()

 

 

    def OnUpdate(self, evt):

        self.OnPaint( evt)

        self.i +=1

        the_count =25

        if self.i %the_count ==0:            

            adict_now = win32process.GetProcessMemoryInfo(self.proc_id)

            memory_now = adict_now["WorkingSetSize"]

            delta = (memory_now - self.memory_old )/ (the_count *1024.0)
#convert to kbytes per update

            self.memory_old = memory_now

            print "memory now = %i delta = %f\n" %(memory_now, delta)

        

    def OnPaint(self, event):

        self.canvas.draw()

 

class App(wx.App):

 

    def OnInit(self):

        'Create the main window and insert the custom frame'

        frame = CanvasFrame()

        frame.Show(True)

 

        return True

 

app = App(0)

app.MainLoop()

Re: [Matplotlib-users] legend(loc='best') not so great

[Damon M. <dam...@gm...>]

On Tue, Sep 11, 2012 at 3:34 PM, Neal Becker <ndb...@gm...> wrote:
> OK, I've attached my sanitized example
>

ImportError: No module named pandas.

Can you provide an example that doesn't depend on pandas?

> Benjamin Root wrote:
>
>> On Tue, Sep 11, 2012 at 9:29 AM, Neal Becker
>> <ndb...@gm...> wrote:
>>
>>> I tried a scatterplot with legend(loc='best'), but the legend
>>> appears on the upper right, covering a data point.  There is nothing
>>> anywhere
>>> in the graph on the upper left, which is where 'best' should go.
>>>
>>>
>> A small, self-contained example would be most useful.  The logic for 'best'
>> isn't the greatest, but it should work in most cases.  If you could provide
>> an example of where this blatantly breaks, it might uncover a bug.
>>
>> Cheers!
>> Ben Root
>
> ------------------------------------------------------------------------------
> Live Security Virtual Conference
> Exclusive live event will cover all the ways today's security and
> threat landscape has changed and how IT managers can respond. Discussions
> will include endpoint security, mobile security and the latest in malware
> threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>



-- 
Damon McDougall
http://www.damon.is-a-geek.com
B2.39
Mathematics Institute
University of Warwick
Coventry
West Midlands
CV4 7AL
United Kingdom

Re: [Matplotlib-users] legend(loc='best') not so great

[Neal B. <ndb...@gm...>]

OK, I've attached my sanitized example

Benjamin Root wrote:

> On Tue, Sep 11, 2012 at 9:29 AM, Neal Becker
> <ndb...@gm...> wrote:
> 
>> I tried a scatterplot with legend(loc='best'), but the legend
>> appears on the upper right, covering a data point.  There is nothing
>> anywhere
>> in the graph on the upper left, which is where 'best' should go.
>>
>>
> A small, self-contained example would be most useful.  The logic for 'best'
> isn't the greatest, but it should work in most cases.  If you could provide
> an example of where this blatantly breaks, it might uncover a bug.
> 
> Cheers!
> Ben Root

Re: [Matplotlib-users] legend(loc='best') not so great

[Benjamin R. <ben...@ou...>]

On Tue, Sep 11, 2012 at 9:29 AM, Neal Becker <ndb...@gm...> wrote:

> I tried a scatterplot with legend(loc='best'), but the legend
> appears on the upper right, covering a data point.  There is nothing
> anywhere
> in the graph on the upper left, which is where 'best' should go.
>
>
A small, self-contained example would be most useful.  The logic for 'best'
isn't the greatest, but it should work in most cases.  If you could provide
an example of where this blatantly breaks, it might uncover a bug.

Cheers!
Ben Root

[Matplotlib-users] legend(loc='best') not so great

[Neal B. <ndb...@gm...>]

I tried a scatterplot with legend(loc='best'), but the legend
appears on the upper right, covering a data point.  There is nothing anywhere
in the graph on the upper left, which is where 'best' should go.

Re: [Matplotlib-users] python question from matlab user

[Daπid <dav...@gm...>]

On Sunday, September 9, 2012, Eric Firing wrote:

> Regarding the need to pre-allocate: yes, matlab is slicker in this
> regard, and every now and then there is discussion about implementing
> equivalent behavior in numpy, or in an add-on module.
>

Technically, you don´t have to preallocate the memory, but every time you
expand your array, the whole of it will be copied to a new contiguous piece
of memory. This works, but it can be slow if you do it many times, or you
are handling big data.

Using a Python list is not much more flexible, but you could use carrays
(for chunked arrays), that are structures NumPyArrays-compatible (AFAIK)
that are stored non contiguosly in memory. Adding data only needs to move
one of those small pieces, instead of the whole array.

Re: [Matplotlib-users] numpoints in legend() function for scatter plot is not working in matplotlib 1.1.0?

[Chao Y. <cha...@gm...>]

Hi Ben,

I guess it's this:

commit 8c57e4fe4909815092af470f4a036c80b407382c
Merge: cf53d4c b6c5625
Author: Eric Firing <ef...@ha...>
Date:   Mon Jul 9 15:25:16 2012 -0700

    Merge pull request #994 from efiring/fix_pcolorfast_quadmesh

    Fix bug in pcolorfast introduced by #901

cheers,

Chao

On Mon, Sep 10, 2012 at 4:30 PM, Phil Elson <pel...@gm...> wrote:

> Ben, on master scatter legends are broken. A pull request (I can't
> remember which, and github is down, possibly #1176) fixes this (obviously,
> the PR is marked as release critical for 1.2).
>
> I have confirmed, that even once fixed on master, the scatter legend
> handler does not take notice of the "numpoints" kwarg.
>
> Hope that helps clarify the matter,
>
> Regards,
>
> Phil
>
>
> On 10 September 2012 14:51, Benjamin Root <ben...@ou...> wrote:
>
>>
>>
>> On Mon, Sep 10, 2012 at 9:33 AM, Chao YUE <cha...@gm...> wrote:
>>
>>> Hi Ben,
>>>
>>> I think I installed this version by following the instructions on
>>> matplotlib website. But when I try to use git log, I get:
>>>
>>> chaoyue@chaoyue-Aspire-4750:/usr/local/lib/python2.7/dist-packages/matplotlib$
>>> pwd
>>> /usr/local/lib/python2.7/dist-packages/matplotlib
>>>
>>> chaoyue@chaoyue-Aspire-4750:/usr/local/lib/python2.7/dist-packages/matplotlib$
>>> git log
>>> fatal: Not a git repository (or any of the parent directories): .git
>>>
>>> I tried to have a look at __init__.py, it has:
>>>
>>> from __future__ import print_function
>>>
>>> __version__  = '1.2.x'
>>> __version__numpy__ = '1.4' # minimum required numpy version
>>>
>>> So it's the correct directory I am going. could you give some further
>>> instructions?
>>>
>>> Chao
>>>
>>>
>> Which directions? We have several for different kinds of installs.  We
>> have not released v1.2.0 yet, so I was guessing you checked out mpl from
>> github.  If that is the case, then you run "git log" from the source
>> directory, not the install directory.
>>
>> Ben
>>
>>
>>>
>>> On Mon, Sep 10, 2012 at 3:05 PM, Benjamin Root <ben...@ou...> wrote:
>>>
>>>>
>>>>
>>>> On Mon, Sep 10, 2012 at 2:56 AM, Chao YUE <cha...@gm...> wrote:
>>>>
>>>>> Hi Ben,
>>>>>
>>>>> I tried the "numpoints" in legend function for scatter plot, in dev
>>>>> version and GTKAgg backend it works.
>>>>>
>>>>> In [3]: mat.__version__
>>>>> Out[3]: '1.2.x'
>>>>>
>>>>> In [4]: mat.get_backend()
>>>>> Out[4]: 'GTKAgg'
>>>>>
>>>>> Chao
>>>>>
>>>>>
>>>> Strange, when I tested it last night, I was using a build of mpl from
>>>> master of a couple weeks ago, and I saw three markers in the legend.  Now,
>>>> I am trying it again with the latest master:
>>>> 1478a1be70b3077b71350cecaccb774f76a76656, and I now see *zero* markers.
>>>> Something is seriously broken.
>>>>
>>>> Can you tell me what commit (and the date for that commit) shows up at
>>>> top when you run "git log" in the mpl source directory?
>>>>
>>>> Ben Root
>>>>
>>>>
>>>
>>>
>>> --
>>>
>>> ***********************************************************************************
>>> Chao YUE
>>> Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL)
>>> UMR 1572 CEA-CNRS-UVSQ
>>> Batiment 712 - Pe 119
>>> 91191 GIF Sur YVETTE Cedex
>>> Tel: (33) 01 69 08 29 02; Fax:01.69.08.77.16
>>>
>>> ************************************************************************************
>>>
>>>
>>
>>
>> ------------------------------------------------------------------------------
>> Live Security Virtual Conference
>> Exclusive live event will cover all the ways today's security and
>> threat landscape has changed and how IT managers can respond. Discussions
>> will include endpoint security, mobile security and the latest in malware
>> threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/
>> _______________________________________________
>> Matplotlib-users mailing list
>> Mat...@li...
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>
>>
>


-- 
***********************************************************************************
Chao YUE
Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL)
UMR 1572 CEA-CNRS-UVSQ
Batiment 712 - Pe 119
91191 GIF Sur YVETTE Cedex
Tel: (33) 01 69 08 29 02; Fax:01.69.08.77.16
************************************************************************************

Re: [Matplotlib-users] numpoints in legend() function for scatter plot is not working in matplotlib 1.1.0?

[Phil E. <pel...@gm...>]

Ben, on master scatter legends are broken. A pull request (I can't remember
which, and github is down, possibly #1176) fixes this (obviously, the PR is
marked as release critical for 1.2).

I have confirmed, that even once fixed on master, the scatter legend
handler does not take notice of the "numpoints" kwarg.

Hope that helps clarify the matter,

Regards,

Phil


On 10 September 2012 14:51, Benjamin Root <ben...@ou...> wrote:

>
>
> On Mon, Sep 10, 2012 at 9:33 AM, Chao YUE <cha...@gm...> wrote:
>
>> Hi Ben,
>>
>> I think I installed this version by following the instructions on
>> matplotlib website. But when I try to use git log, I get:
>>
>> chaoyue@chaoyue-Aspire-4750:/usr/local/lib/python2.7/dist-packages/matplotlib$
>> pwd
>> /usr/local/lib/python2.7/dist-packages/matplotlib
>>
>> chaoyue@chaoyue-Aspire-4750:/usr/local/lib/python2.7/dist-packages/matplotlib$
>> git log
>> fatal: Not a git repository (or any of the parent directories): .git
>>
>> I tried to have a look at __init__.py, it has:
>>
>> from __future__ import print_function
>>
>> __version__  = '1.2.x'
>> __version__numpy__ = '1.4' # minimum required numpy version
>>
>> So it's the correct directory I am going. could you give some further
>> instructions?
>>
>> Chao
>>
>>
> Which directions? We have several for different kinds of installs.  We
> have not released v1.2.0 yet, so I was guessing you checked out mpl from
> github.  If that is the case, then you run "git log" from the source
> directory, not the install directory.
>
> Ben
>
>
>>
>> On Mon, Sep 10, 2012 at 3:05 PM, Benjamin Root <ben...@ou...> wrote:
>>
>>>
>>>
>>> On Mon, Sep 10, 2012 at 2:56 AM, Chao YUE <cha...@gm...> wrote:
>>>
>>>> Hi Ben,
>>>>
>>>> I tried the "numpoints" in legend function for scatter plot, in dev
>>>> version and GTKAgg backend it works.
>>>>
>>>> In [3]: mat.__version__
>>>> Out[3]: '1.2.x'
>>>>
>>>> In [4]: mat.get_backend()
>>>> Out[4]: 'GTKAgg'
>>>>
>>>> Chao
>>>>
>>>>
>>> Strange, when I tested it last night, I was using a build of mpl from
>>> master of a couple weeks ago, and I saw three markers in the legend.  Now,
>>> I am trying it again with the latest master:
>>> 1478a1be70b3077b71350cecaccb774f76a76656, and I now see *zero* markers.
>>> Something is seriously broken.
>>>
>>> Can you tell me what commit (and the date for that commit) shows up at
>>> top when you run "git log" in the mpl source directory?
>>>
>>> Ben Root
>>>
>>>
>>
>>
>> --
>>
>> ***********************************************************************************
>> Chao YUE
>> Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL)
>> UMR 1572 CEA-CNRS-UVSQ
>> Batiment 712 - Pe 119
>> 91191 GIF Sur YVETTE Cedex
>> Tel: (33) 01 69 08 29 02; Fax:01.69.08.77.16
>>
>> ************************************************************************************
>>
>>
>
>
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>

Re: [Matplotlib-users] numpoints in legend() function for scatter plot is not working in matplotlib 1.1.0?

[Benjamin R. <ben...@ou...>]

On Mon, Sep 10, 2012 at 9:33 AM, Chao YUE <cha...@gm...> wrote:

> Hi Ben,
>
> I think I installed this version by following the instructions on
> matplotlib website. But when I try to use git log, I get:
>
> chaoyue@chaoyue-Aspire-4750:/usr/local/lib/python2.7/dist-packages/matplotlib$
> pwd
> /usr/local/lib/python2.7/dist-packages/matplotlib
>
> chaoyue@chaoyue-Aspire-4750:/usr/local/lib/python2.7/dist-packages/matplotlib$
> git log
> fatal: Not a git repository (or any of the parent directories): .git
>
> I tried to have a look at __init__.py, it has:
>
> from __future__ import print_function
>
> __version__  = '1.2.x'
> __version__numpy__ = '1.4' # minimum required numpy version
>
> So it's the correct directory I am going. could you give some further
> instructions?
>
> Chao
>
>
Which directions? We have several for different kinds of installs.  We have
not released v1.2.0 yet, so I was guessing you checked out mpl from
github.  If that is the case, then you run "git log" from the source
directory, not the install directory.

Ben


>
> On Mon, Sep 10, 2012 at 3:05 PM, Benjamin Root <ben...@ou...> wrote:
>
>>
>>
>> On Mon, Sep 10, 2012 at 2:56 AM, Chao YUE <cha...@gm...> wrote:
>>
>>> Hi Ben,
>>>
>>> I tried the "numpoints" in legend function for scatter plot, in dev
>>> version and GTKAgg backend it works.
>>>
>>> In [3]: mat.__version__
>>> Out[3]: '1.2.x'
>>>
>>> In [4]: mat.get_backend()
>>> Out[4]: 'GTKAgg'
>>>
>>> Chao
>>>
>>>
>> Strange, when I tested it last night, I was using a build of mpl from
>> master of a couple weeks ago, and I saw three markers in the legend.  Now,
>> I am trying it again with the latest master:
>> 1478a1be70b3077b71350cecaccb774f76a76656, and I now see *zero* markers.
>> Something is seriously broken.
>>
>> Can you tell me what commit (and the date for that commit) shows up at
>> top when you run "git log" in the mpl source directory?
>>
>> Ben Root
>>
>>
>
>
> --
>
> ***********************************************************************************
> Chao YUE
> Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL)
> UMR 1572 CEA-CNRS-UVSQ
> Batiment 712 - Pe 119
> 91191 GIF Sur YVETTE Cedex
> Tel: (33) 01 69 08 29 02; Fax:01.69.08.77.16
>
> ************************************************************************************
>
>