Re: [Matplotlib-users] Fwd: zoomed in detail box
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
> On Mon, Aug 20, 2012 at 10:50 PM, darkside
> 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
>
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Re: [Matplotlib-users] Fwd: zoomed in detail box
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 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
>>
>> On Mon, Aug 20, 2012 at 10:50 PM, darkside
>> 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
>
>
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Re: [Matplotlib-users] zoomed in detail box
[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 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
>>>
>>> On Mon, Aug 20, 2012 at 10:50 PM, darkside
>>> 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
>>
>>
>
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Re: [Matplotlib-users] a memory leak in matplotlib plot embedded inwxpython
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:[email protected]] Sent: Tuesday, September 11, 2012 4:28 PM To: [email protected] 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 t
Re: [Matplotlib-users] legend(loc='best') not so great
On Tue, Sep 11, 2012 at 10:49 AM, Damon McDougall wrote: > On Tue, Sep 11, 2012 at 3:34 PM, Neal Becker 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 -- 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 [email protected] https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] legend(loc='best') not so great
On Wed, Sep 12, 2012 at 5:57 PM, Aronne Merrelli wrote: > On Tue, Sep 11, 2012 at 10:49 AM, Damon McDougall > wrote: >> On Tue, Sep 11, 2012 at 3:34 PM, Neal Becker 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 -- 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 [email protected] https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Drag, add, remove points from a plot with the mouse
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. -- 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 [email protected] https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Drag, add, remove points from a plot with the mouse
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 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. -- 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 [email protected] https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Drag, add, remove points from a plot with the mouse
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 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 > 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. -- 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 [email protected] https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] linestyles in matplotlib.pyplot.plot
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? -- 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 [email protected] https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] linestyles in matplotlib.pyplot.plot
On Wed, Sep 12, 2012 at 11:31 PM, Goutam Paul 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 -- 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 [email protected] https://lists.sourceforge.net/lists/listinfo/matplotlib-users
