Re: [Matplotlib-users] Matplotlib conflicts with IDLE
Date: Fri, 05 Feb 2010 12:59:41 -0800 From: Christopher Barker chris.bar...@noaa.gov Subject: Re: [Matplotlib-users] Matplotlib conflicts with IDLE To: matplotlib-users@lists.sourceforge.net Message-ID: 4b6c86bd.3090...@noaa.gov Content-Type: text/plain; charset=ISO-8859-1; format=flowed David MacQuigg wrote: I can't get Matplotlib to work with IDLE. Sorry, I don't know anything about IDLE, but... I'm running on Mac OS-X, so it looks like IPython is not an option. Why not? I use Ipython on OS-X all the time, and it is fabulous, really fabulous. Also, I would rather stick with IDLE. It is the perfect IDE for non-CS students who shouldn't be spending their time on the complexities of a plotting package. Spyder: http://packages.python.org/spyder/ Looks really promising, but I don't think they've got OS-X packages yet. -Chris Hi there, I can confirm that Spyder will make these GUI event loop issues go away (BTW I saw it running on OS-X, 2 days ago -- note that it requires PyQt to be installed). If you are familiar with MATLAB's IDE, you won't be disappointed because it works almost the same way (it even communicates well with MATLAB thanks to .mat files import/export features). The great advantage of Spyder over other Python IDEs is the exclusive Workspace feature: like MATLAB's workspace, that is a global variable explorer allowing GUI-based edition of the most used Python objects (integers, floats, strings, dictionaries, lists, NumPy arrays, ...). It seems unbelievable, but Spyder is really the only IDE providing this feature which is IMHO essential for scientific users. Cheers, Pierre -- The Planet: dedicated and managed hosting, cloud storage, colocation Stay online with enterprise data centers and the best network in the business Choose flexible plans and management services without long-term contracts Personal 24x7 support from experience hosting pros just a phone call away. http://p.sf.net/sfu/theplanet-com ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Uninstalling MatPlotLib (win7)? {Site-Packages?]
Depending on the version and installer used, manually remove C:\Python25\Lib\site-packages\pylab.py C:\Python25\Lib\site-packages\matplotlib C:\Python25\Lib\site-packages\mpl_toolkits C:\Python25\Lib\site-packages\matplotlib*.egg-info C:\Python25\Removematplotlib.exe C:\Python25\matplotlib-wininst.log The packages dateutil and pytz are also installed along with matplotlib but might be used by other packages too. Christoph On 2/5/2010 12:11 PM, Wayne Watson wrote: I'm working in IDLE in Win7. It seems to me it gets stuck in site-packages under C:\Python25. Maybe this is as simple as deleting the entry? Well, yes there's a MPL folder under site-packages and an info MPL file of 540 bytes. There are also pylab.py, pyc,and py0 files under site. What to do next? On 2/5/2010 7:13 AM, Wayne Watson wrote: I should have installed numpy first, and got some errors installing MPL. I don't see an uninstall in Control Panel Add/Rmv. -- The Planet: dedicated and managed hosting, cloud storage, colocation Stay online with enterprise data centers and the best network in the business Choose flexible plans and management services without long-term contracts Personal 24x7 support from experience hosting pros just a phone call away. http://p.sf.net/sfu/theplanet-com ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Matplotlib conflicts with IDLE
On Sat, Feb 06, 2010 at 11:27:50AM +0100, Pierre Raybaut wrote: Why not? I use Ipython on OS-X all the time, and it is fabulous, really fabulous. Also, I would rather stick with IDLE. It is the perfect IDE for non-CS students who shouldn't be spending their time on the complexities of a plotting package. Spyder: http://packages.python.org/spyder/ Looks really promising, but I don't think they've got OS-X packages yet. [snip] I'd like to pitch here the reason why I think there is a huge gain in using IPython, because I think that not everybody realizes this. For me, the killing feature is '%debug'. It enables you to drop in the debugger post mortem. That means that if there is an exception raised during a calculation, I can drop right where the exception occurred and inspect the variables there. I can for instance check if a numpy array has NaNs, and if so where they are, or if a matrix that is supposed to be symmetric really is. I can also go up the call stack, and see what the variables are at each level of function calls. Here is a trivial example: In [1]: def f(x, y=0): ...: z = x+y ...: return 1/z ...: In [2]: f(0) --- ZeroDivisionError Traceback (most recent call last) /home/varoquau/ipython console in module() /home/varoquau/ipython console in f(x, y) ZeroDivisionError: integer division or modulo by zero In [3]: %debug ipython console(3)f() ipdb print x 0 ipdb print y 0 ipdb print z 0 ipdb Jose Unpinco has written a nice video introducing these features: http://showmedo.com/videotutorials/video?name=7200060fromSeriesID=720 When you start having a somewhat complex set of functions that call each other, or when you are getting failures with somebody else's code, this is priceless. This is so useful that to debug some code that, when I am trying to understand why some code is not working the way it should be, I will purposely add an exception, to be able to introspect the code. Granted, adding pdb.set_trace() will work without IPython[*], but I find it very useful. I am to the point where the post-mortem debugging of IPython may be the killing feature of Python that I lack with every other work flow. The reason being that I develop data processing code, and that I am always experiment and trying to implement new algorithms. As a result, my code is seldom mature, and I often spend time tracking down where bugs lie. Also, running my various processing steps take a while. This is why I rely a lot on post-mortem: I find bugs after minutes or hours of number crunching, and I want to be as efficient as possible. Post-portem enables me not to restart the script that crashed. My 2 cents, Gaël [*] It will not work in Spyder as it is quite challenging to have these features requiring user terminal interaction in a GUI. -- The Planet: dedicated and managed hosting, cloud storage, colocation Stay online with enterprise data centers and the best network in the business Choose flexible plans and management services without long-term contracts Personal 24x7 support from experience hosting pros just a phone call away. http://p.sf.net/sfu/theplanet-com ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Comet
Hi Eric, Matlab has two commands, comet and comet3, that animate the path. They are used as in the following Matlab code: t=linspace(0,2*pi,2000); x=-sin(t); y=cos(t); comet(x,y) What then happens is the path is drawn live, as in my python code below. This is especially useful when teaching parametric equations in calculus. A typical question in that section might be: find a parametrization for the unit circle that starts at (0,1) and moves around the circle one time in the counterclockwise direction. In this situation, the following is not helpful: t=linspace(0,2*pi,2000); x=-sin(t); y=cos(t); plot(x,y) Because the student just sees sees the finished path. The comet command, on the other hand, allows the student to see that path as it is traced out in real time. David. On Feb 6, 2010, at 9:09 AM, Eric Firing wrote: David Arnold wrote: All, I am still wondering why there is no comet command in matplotlib. I was successful with the following: import matplotlib.pyplot as plt import numpy as np len=200 t=np.linspace(0,2*np.pi,len) x=np.cos(t) y=np.sin(t) xd=[x[0]] yd=[y[0]] l,=plt.plot(xd,yd) plt.axis([-1,1,-1,1]) for i in np.arange(1,len): xd.append(x[i]) yd.append(y[i]) l.set_xdata(xd) l.set_ydata(yd) plt.draw() plt.show() But it seems that a comet function added to the matplotlib library would greatly simplify things for students using the interactive pylab in ipython. I don't understand--what's the point of the example? What is comet, and how does it simplify anything? Eric -- The Planet: dedicated and managed hosting, cloud storage, colocation Stay online with enterprise data centers and the best network in the business Choose flexible plans and management services without long-term contracts Personal 24x7 support from experience hosting pros just a phone call away. http://p.sf.net/sfu/theplanet-com ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] MatPlotLib Usage FAQ Page Needs Some Work.
I can write some fairly decent Python code. In fact, I've recently written 400-500 lines often using numpy. There are still a number of concepts that are fuzzy. I have a modest familiarity of OOP from years ago with C++, and a few things I've picked up from Python. Five years ago, I was working with Matlab, but my knowledge has diminished. Nevertheless, I finally decided to graphics, MPL, to display what I'm doing. I've had some modest success using very basic operations, sometime guessing at usage along the way. I've looked through the bewildering array of MPL, pylab, pyplot docs and examples. It's slowly fitting together. I decided to give the following web page a closer look to see what are the differences between the MPL players. http://matplotlib.sourceforge.net/faq/usage_faq.html. I've copied a few paragraphs at the start of the FAQ below. I've studied it fairly carefully, and more or less comprehend it. However, why does it need words like state-machine, convenience functions, and object-oriented. I'm familiar with them all, but the concepts really aren't presented clearly in relationship to the code below. I'm not even sure if we are pro-pylab or pyplot as the preferred-style. What part of some of the code is pyplot or otherwise? Highlight it. Not everyone is clear on some of the assumed Python concepts here. It seems as though Python has a way of aligning itself with other tools, For example, Matlab and Tk. Despite the apparent appeal of MPL and Tkinter, seldom, maybe never, is anyone who is attracted to these ideas really familiar with the tools on which they are based. (Perhaps its the other way. Everyone knows them )Yet no explanation is offered. What would that take, 3 pages each? Matplotlib, pylab, and pyplot: how are they related? Matplotlib is the whole package; pylab is a module in matplotlib that gets installed alongside matplotlib; and matplotlib.pyplot is a module in matplotlib. Pyplot provides a Matlab-style state-machine interface to the underlying object-oriented plotting library in matplotlib. Pylab combines the pyplot functionality (for plotting) with the numpy functionality (for mathematics and for working with arrays) in a single namespace, making that namespace (or environment) even more Matlab-like. This is what you get if you use the ipython shell with the -pylab option, which imports everything from pylab and makes plotting fully interactive. ... And using pyplot convenience functions, but object-orientation for the rest: import matplotlib.pyplot as plt import numpy as np x = np.arange(0, 10, 0.2) y = np.sin(x) fig = plt.figure() ax = fig.add_subplot(111) ax.plot(x, y) plt.show() So, why do all the extra typing required as one moves away from... = -- My life in two words. "Interrupted Projects." -- WTW (quote originator) -- The Planet: dedicated and managed hosting, cloud storage, colocation Stay online with enterprise data centers and the best network in the business Choose flexible plans and management services without long-term contracts Personal 24x7 support from experience hosting pros just a phone call away. http://p.sf.net/sfu/theplanet-com___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Surface Plot
Hi I'd like to generate a surface plot using mplot3d. However, Z is not a function of X and/or Y. It's just a set of scalar values. So, the following doesn't work: X = np.arange(2, 102, 2) Y = np.arange(0, 15.15, 0.15) X, Y = np.meshgrid(X, Y) Z = f[2] ax.plot_surface(X, Y, Z, rstride=1, cstride=1, cmap=cm.jet) Is there a way that I can do this? Thank you. Ted -- The Planet: dedicated and managed hosting, cloud storage, colocation Stay online with enterprise data centers and the best network in the business Choose flexible plans and management services without long-term contracts Personal 24x7 support from experience hosting pros just a phone call away. http://p.sf.net/sfu/theplanet-com___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Matplotlib conflicts with IDLE
2010/2/6 Gael Varoquaux gael.varoqu...@normalesup.org: On Sat, Feb 06, 2010 at 11:27:50AM +0100, Pierre Raybaut wrote: When you start having a somewhat complex set of functions that call each other, or when you are getting failures with somebody else's code, this is priceless. This is so useful that to debug some code that, when I am trying to understand why some code is not working the way it should be, I will purposely add an exception, to be able to introspect the code. Granted, adding pdb.set_trace() will work without IPython[*], but I find it very useful. [*] It will not work in Spyder as it is quite challenging to have these features requiring user terminal interaction in a GUI. Actually it works in Spyder too (in the external console which is executed in a another process). ;-) -Pierre -- The Planet: dedicated and managed hosting, cloud storage, colocation Stay online with enterprise data centers and the best network in the business Choose flexible plans and management services without long-term contracts Personal 24x7 support from experience hosting pros just a phone call away. http://p.sf.net/sfu/theplanet-com ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Comet
Hi David, El sáb, 06-02-2010 a las 10:21 -0800, David Arnold escribió: Hi Eric, Matlab has two commands, comet and comet3, that animate the path. They are used as in the following Matlab code: t=linspace(0,2*pi,2000); x=-sin(t); y=cos(t); comet(x,y) You can just write the function: import matplotlib.pyplot as plt def comet(x, y, fmt='', step=1, **kwargs): l, = plt.plot(x, y, fmt, **kwargs) num_points = len(x) for i in xrange(1, num_points + 1, step): l.set_data(x[:i], y[:i]) plt.draw() l.set_data(x, y) plt.draw() I think this could be better done using animation features of matplotlib, but I never used them and I think they varies across toolkits. Search the docs for animation examples anyway. Goyo What then happens is the path is drawn live, as in my python code below. This is especially useful when teaching parametric equations in calculus. A typical question in that section might be: find a parametrization for the unit circle that starts at (0,1) and moves around the circle one time in the counterclockwise direction. In this situation, the following is not helpful: t=linspace(0,2*pi,2000); x=-sin(t); y=cos(t); plot(x,y) Because the student just sees sees the finished path. The comet command, on the other hand, allows the student to see that path as it is traced out in real time. David. On Feb 6, 2010, at 9:09 AM, Eric Firing wrote: David Arnold wrote: All, I am still wondering why there is no comet command in matplotlib. I was successful with the following: import matplotlib.pyplot as plt import numpy as np len=200 t=np.linspace(0,2*np.pi,len) x=np.cos(t) y=np.sin(t) xd=[x[0]] yd=[y[0]] l,=plt.plot(xd,yd) plt.axis([-1,1,-1,1]) for i in np.arange(1,len): xd.append(x[i]) yd.append(y[i]) l.set_xdata(xd) l.set_ydata(yd) plt.draw() plt.show() But it seems that a comet function added to the matplotlib library would greatly simplify things for students using the interactive pylab in ipython. I don't understand--what's the point of the example? What is comet, and how does it simplify anything? Eric -- The Planet: dedicated and managed hosting, cloud storage, colocation Stay online with enterprise data centers and the best network in the business Choose flexible plans and management services without long-term contracts Personal 24x7 support from experience hosting pros just a phone call away. http://p.sf.net/sfu/theplanet-com ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- The Planet: dedicated and managed hosting, cloud storage, colocation Stay online with enterprise data centers and the best network in the business Choose flexible plans and management services without long-term contracts Personal 24x7 support from experience hosting pros just a phone call away. http://p.sf.net/sfu/theplanet-com ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] clabel manual
This is a known bug, and I think I fixed it in the svn. Meanwhile, you
may use the monkey patching.
Insert these lines in your script (before you call clabel).
Regards,
-JJ
import matplotlib.blocking_input as blocking_input
def mouse_event_stop(self, event ):
blocking_input.BlockingInput.pop(self,-1)
self.fig.canvas.stop_event_loop()
def add_click(self, event):
self.button1(event)
def pop_click(self, event, index=-1):
if self.inline:
pass
else:
self.cs.pop_label()
self.cs.ax.figure.canvas.draw()
blocking_input.BlockingMouseInput.mouse_event_stop = mouse_event_stop
blocking_input.BlockingMouseInput.add_click = add_click
blocking_input.BlockingMouseInput.pop_click = pop_click
On Sat, Feb 6, 2010 at 2:01 AM, David Arnold dwarnol...@suddenlink.net wrote:
Hi,
I'm trying to get manual labeling of contours to work:
import numpy as np
import matplotlib.mlab as mlab
import matplotlib.pyplot as plt
delta = 0.025
x = np.arange(-3.0, 3.0, delta)
y = np.arange(-2.0, 2.0, delta)
X, Y = np.meshgrid(x, y)
Z1 = mlab.bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)
Z2 = mlab.bivariate_normal(X, Y, 1.5, 0.5, 1, 1)
# difference of Gaussians
Z = 10.0 * (Z2 - Z1)
plt.figure()
CS = plt.contour(X, Y, Z, 6,
linewidths=np.arange(.5, 4, .5),
colors=('r', 'green', 'blue', (1,1,0), '#af', '0.5')
)
plt.clabel(CS, fontsize=9, inline=1, manual=True)
plt.title('Crazy lines')
plt.show()
On my macbook, clicking with the touchpad does not seem to work.
Any ideas?
David.
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Re: [Matplotlib-users] clabel manual
JJ,
Very nice repair, as this works precisely as it should. I use this tool in
Matlab all the time when teaching multivariable calculus.
D.
On Feb 6, 2010, at 2:41 PM, Jae-Joon Lee wrote:
This is a known bug, and I think I fixed it in the svn. Meanwhile, you
may use the monkey patching.
Insert these lines in your script (before you call clabel).
Regards,
-JJ
import matplotlib.blocking_input as blocking_input
def mouse_event_stop(self, event ):
blocking_input.BlockingInput.pop(self,-1)
self.fig.canvas.stop_event_loop()
def add_click(self, event):
self.button1(event)
def pop_click(self, event, index=-1):
if self.inline:
pass
else:
self.cs.pop_label()
self.cs.ax.figure.canvas.draw()
blocking_input.BlockingMouseInput.mouse_event_stop = mouse_event_stop
blocking_input.BlockingMouseInput.add_click = add_click
blocking_input.BlockingMouseInput.pop_click = pop_click
On Sat, Feb 6, 2010 at 2:01 AM, David Arnold dwarnol...@suddenlink.net
wrote:
Hi,
I'm trying to get manual labeling of contours to work:
import numpy as np
import matplotlib.mlab as mlab
import matplotlib.pyplot as plt
delta = 0.025
x = np.arange(-3.0, 3.0, delta)
y = np.arange(-2.0, 2.0, delta)
X, Y = np.meshgrid(x, y)
Z1 = mlab.bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)
Z2 = mlab.bivariate_normal(X, Y, 1.5, 0.5, 1, 1)
# difference of Gaussians
Z = 10.0 * (Z2 - Z1)
plt.figure()
CS = plt.contour(X, Y, Z, 6,
linewidths=np.arange(.5, 4, .5),
colors=('r', 'green', 'blue', (1,1,0), '#af', '0.5')
)
plt.clabel(CS, fontsize=9, inline=1, manual=True)
plt.title('Crazy lines')
plt.show()
On my macbook, clicking with the touchpad does not seem to work.
Any ideas?
David.
--
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Re: [Matplotlib-users] Axes3D rotation not working when embedded in backend
I looked into this issue a little bit and found that the FigureCanvas must be
set on the Figure before the 3D axes is instantiated. A simple re-ordering of
the lines in the code below makes mouse rotation work again.
# ...
self.figure = Figure()
self.canvas = FigureCanvas(self, -1, self.figure)
#You must set up the canvas before creating the 3D axes
self.axes = Axes3D(self.figure)
# ...
Perhaps this should be documented somehow? Or maybe a new mplot3d example code
should be added. Or maybe
Axes3D.mouse_init() should warn the user if self.figure.canvas is None.
-Ben
-Original Message-
From: Ben Axelrod [mailto:baxel...@coroware.com]
Sent: Monday, February 01, 2010 3:56 PM
To: matplotlib-users@lists.sourceforge.net
Subject: [Matplotlib-users] Axes3D rotation not working when embedded in backend
I would like to use Axes3D embedded in Wx. This works, but there is no mouse
rotation. Clicking and dragging the mouse on the plot does not rotate the 3D
axes like it does in the scatter3d_demo.py. I tried: WX, WXAgg, and TkAgg
with similar results. Can this be fixed soon, or can someone point me to where
I can try to fix it?
I tested with the latest SVN tree on Linux and Windows.
Thanks,
-Ben
Below is some sample code adapted from embedding_in_wx2.py, but with an
Axes3D instead of the regular plot:
#!/usr/bin/env python
# adapted from example code embedding_in_wx2.py
# Used to guarantee to use at least Wx2.8 import wxversion
wxversion.ensureMinimal('2.8')
import numpy as np
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
from mpl_toolkits.mplot3d import Axes3D
import wx
class CanvasFrame(wx.Frame):
def __init__(self):
wx.Frame.__init__(self,None,-1,
'CanvasFrame',size=(550,350))
self.SetBackgroundColour(wx.NamedColor(WHITE))
self.figure = Figure()
self.axes = Axes3D(self.figure)
xs = np.random.rand(100)
ys = np.random.rand(100)
zs = np.random.rand(100)
self.axes.scatter(xs, ys, zs)
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
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 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()
#end code
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Re: [Matplotlib-users] clabel manual
The above version has some typos (while it works it had some
side-effects), here is the corrected one.
-JJ
import matplotlib.blocking_input as blocking_input
if blocking_input.BlockingMouseInput.add_click ==
blocking_input.BlockingContourLabeler.add_click:
def mouse_event_stop(self, event ):
blocking_input.BlockingInput.pop(self,-1)
self.fig.canvas.stop_event_loop()
def add_click(self, event):
self.button1(event)
def pop_click(self, event, index=-1):
if self.inline:
pass
else:
self.cs.pop_label()
self.cs.ax.figure.canvas.draw()
blocking_input.BlockingMouseInput.mouse_event_stop = mouse_event_stop
blocking_input.BlockingContourLabeler.add_click = add_click
blocking_input.BlockingContourLabeler.pop_click = pop_click
On Sat, Feb 6, 2010 at 5:52 PM, David Arnold dwarnol...@suddenlink.net wrote:
JJ,
Very nice repair, as this works precisely as it should. I use this tool in
Matlab all the time when teaching multivariable calculus.
D.
On Feb 6, 2010, at 2:41 PM, Jae-Joon Lee wrote:
This is a known bug, and I think I fixed it in the svn. Meanwhile, you
may use the monkey patching.
Insert these lines in your script (before you call clabel).
Regards,
-JJ
import matplotlib.blocking_input as blocking_input
def mouse_event_stop(self, event ):
blocking_input.BlockingInput.pop(self,-1)
self.fig.canvas.stop_event_loop()
def add_click(self, event):
self.button1(event)
def pop_click(self, event, index=-1):
if self.inline:
pass
else:
self.cs.pop_label()
self.cs.ax.figure.canvas.draw()
blocking_input.BlockingMouseInput.mouse_event_stop = mouse_event_stop
blocking_input.BlockingMouseInput.add_click = add_click
blocking_input.BlockingMouseInput.pop_click = pop_click
On Sat, Feb 6, 2010 at 2:01 AM, David Arnold dwarnol...@suddenlink.net
wrote:
Hi,
I'm trying to get manual labeling of contours to work:
import numpy as np
import matplotlib.mlab as mlab
import matplotlib.pyplot as plt
delta = 0.025
x = np.arange(-3.0, 3.0, delta)
y = np.arange(-2.0, 2.0, delta)
X, Y = np.meshgrid(x, y)
Z1 = mlab.bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)
Z2 = mlab.bivariate_normal(X, Y, 1.5, 0.5, 1, 1)
# difference of Gaussians
Z = 10.0 * (Z2 - Z1)
plt.figure()
CS = plt.contour(X, Y, Z, 6,
linewidths=np.arange(.5, 4, .5),
colors=('r', 'green', 'blue', (1,1,0), '#af', '0.5')
)
plt.clabel(CS, fontsize=9, inline=1, manual=True)
plt.title('Crazy lines')
plt.show()
On my macbook, clicking with the touchpad does not seem to work.
Any ideas?
David.
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