Re: [Matplotlib-users] Plotting loop refuses to update display on OS X
functions like raw_input blok the mianloop of some gui backends (e.g., gtk) but work fine with some other backend (although Tk is the only backend I know of). So my guess is that you used a different backend with 0.98.1. I guess you have a few options. * try different backend (Tk) with 0.98.3 * use ginput * or try a ginput-like routine that I made sometime ago which works okay with raw_input. http://sourceforge.net/mailarchive/message.php?msg_id=6e8d907b0803101609s7bd8fecaj851a6ecf1ab2a316%40mail.gmail.com IHTH, -JJ On Thu, Oct 2, 2008 at 5:18 PM, Zane Selvans [EMAIL PROTECTED] wrote: I have a Python module that I've written with some pylab plotting routines in it. One of them loops over a list of objects, generating some plots based on the data associated with each list member in turn. It's meant to be an interactive way to step through the list and see what the things look like. I have the loop set up to wait for user input before going on to the next object, using x = raw_input(press return for next fit: ) but for some reason, the plot window never updates. I've tried putting both draw() and show() immediately before the raw_input() line, and neither works. The plot only seems to update when I ctrl-C out of the loop, and otherwise, I just get the spinning beachball when I mouseover the plot. I'm using Matplotlib 0.98.3 on OS X (10.5.5) with the built-in python from Apple I think (2.5.1). I'm calling the plotting routine from ipython 0.8.3 using the -pylab option. The same script previously worked fine under Matplotlib 0.98.1 Other plotting routines from the same module seem to work fine - it's only this plot within a loop that's giving me trouble. Any ideas? -- Zane Selvans Amateur Earthling [EMAIL PROTECTED] 303/815-6866 http://zaneselvans.org PGP Key: 55E0815F - This SF.Net email is sponsored by the Moblin Your Move Developer's challenge Build the coolest Linux based applications with Moblin SDK win great prizes Grand prize is a trip for two to an Open Source event anywhere in the world http://moblin-contest.org/redirect.php?banner_id=100url=/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users - This SF.Net email is sponsored by the Moblin Your Move Developer's challenge Build the coolest Linux based applications with Moblin SDK win great prizes Grand prize is a trip for two to an Open Source event anywhere in the world http://moblin-contest.org/redirect.php?banner_id=100url=/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Clear Figure
Hi Guys, I need to clear the Figure after the user has clicked the some button in PyQt, but when I try to plot the graphics again nothing appear. In ipython it works, but when I try it inside my application it does not work. What am I missing? Inside my MplCanvas class (actually it is a QWidget - see embedding_in_qt4.py in matplotlib examples file - user_interface) I have this code: self.fig = Figure(figsize=(self.width, self.height), dpi=dpi) And then in my main application I'm trying to do: self.canvas.figure.clf() self.canvas.draw() self.canvas.axes.plot([1.,2.,4.]) and nothing is plotted. The Figure is totally gray. I tried to do the same thing in embedding_in_qt4.py example, modifying some parts, but it didn't work too. Do you have any suggestions? Thanks! Best regards, Bernardo M. Rocha - This SF.Net email is sponsored by the Moblin Your Move Developer's challenge Build the coolest Linux based applications with Moblin SDK win great prizes Grand prize is a trip for two to an Open Source event anywhere in the world http://moblin-contest.org/redirect.php?banner_id=100url=/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] formatting figures for publciation
John Hunter wrote: On Sat, Sep 27, 2008 at 1:04 PM, Eric Firing [EMAIL PROTECTED] wrote: Good answer, but there may be one exception. The Matlab function description indicates that it can produce eps files with the cmyk color space, which is indeed something that publishers tend to want, and something that we don't do. Whether Matlab does it well, and whether with some reasonable modification to the mpl ps backend we could do at least as well, I don't know. This is certainly something that would be nice to have. There was some recent work on agg to support different colorspaces, I think CMYK was among them, but it hasn't yet been contributed into the mainline as far as I know. It would take quite a bit of work for us to support a generic colorspace model, but it would be a nice feature John, Is it still true that we will not be able to take advantage of any agg improvements because of the agg license change? Eric - This SF.Net email is sponsored by the Moblin Your Move Developer's challenge Build the coolest Linux based applications with Moblin SDK win great prizes Grand prize is a trip for two to an Open Source event anywhere in the world http://moblin-contest.org/redirect.php?banner_id=100url=/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Clear Figure
I guess you need to put draw() after plot() self.canvas.figure.clf() self.canvas.axes.plot([1.,2.,4.]) self.canvas.draw() Let us know if it does not help. -JJ On Sat, Oct 4, 2008 at 7:17 PM, rocha [EMAIL PROTECTED] wrote: Hi Guys, I need to clear the Figure after the user has clicked the some button in PyQt, but when I try to plot the graphics again nothing appear. In ipython it works, but when I try it inside my application it does not work. What am I missing? Inside my MplCanvas class (actually it is a QWidget - see embedding_in_qt4.py in matplotlib examples file - user_interface) I have this code: self.fig = Figure(figsize=(self.width, self.height), dpi=dpi) And then in my main application I'm trying to do: self.canvas.figure.clf() self.canvas.draw() self.canvas.axes.plot([1.,2.,4.]) and nothing is plotted. The Figure is totally gray. I tried to do the same thing in embedding_in_qt4.py example, modifying some parts, but it didn't work too. Do you have any suggestions? Thanks! Best regards, Bernardo M. Rocha - This SF.Net email is sponsored by the Moblin Your Move Developer's challenge Build the coolest Linux based applications with Moblin SDK win great prizes Grand prize is a trip for two to an Open Source event anywhere in the world http://moblin-contest.org/redirect.php?banner_id=100url=/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users - This SF.Net email is sponsored by the Moblin Your Move Developer's challenge Build the coolest Linux based applications with Moblin SDK win great prizes Grand prize is a trip for two to an Open Source event anywhere in the world http://moblin-contest.org/redirect.php?banner_id=100url=/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] vertical padding in legend
John Hunter wrote: On Tue, Sep 30, 2008 at 5:07 PM, Jae-Joon Lee [EMAIL PROTECTED] wrote: The problem is already well explained by Eric. And my solution is to interpret the legend.pad as a fraction of the textsize (pad=0.3 seems to work fine in my eyes). Note that this breaks the backward compatibility. I personally think the original behavior may have produced unsatisfactory results in most of the cases and keeping it as a default may not be a good idea. While I hope others come out with an elegant solution, I prefer to break the API in this case. How about using a new kwarg and raising an exception if the old one is passed in, with the exception pointing to the new arg? I am a little uncomfortable silently changing the meaning of the old arg. Done, except that it just raises a warning, and still works with the old kwarg. The new kwarg is borderpad; it is used if pad==0, which is the new rc default. I set the default borderpad=0.5. There is still too much other positioning in legend that is based on axes units. I briefly tried to start changing others, again with additional kwargs, and things quickly fell apart. Legend needs considerable reworking to take full advantage of the transforms framework (and maybe other mpl improvements since the original legend) and to put all positioning kwargs and code in sensible units. It is amazing that the present code works as well as it does. The way to make a transition may be via a separate version for a while. There could be a single interface, with a kwarg to choose the version. Eric - This SF.Net email is sponsored by the Moblin Your Move Developer's challenge Build the coolest Linux based applications with Moblin SDK win great prizes Grand prize is a trip for two to an Open Source event anywhere in the world http://moblin-contest.org/redirect.php?banner_id=100url=/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] plotting numbers on axes in scientific notation
Fabrice Silva wrote: Le mardi 09 septembre 2008 à 08:26 -0400, Michael Droettboom a écrit : You can use def ticklabel_format(self, **kwargs): It did not figure how to use that! I've tried in ipython : import numpy as np t = np.linspace(0,1,1024) f = np.sin(10*t)/1e5 plot(t,f) ax = gca() ax.ticklabel_format(style='sci', axis='y') ax.yaxis.major.formatter.set_powerlimits((0,0)) show() but the yticklabels are still in plain notation... I've googled, but I still can not find where I am wrong! Yes, this is confusing. The problem is that the scientific style uses scientific notation only for sufficiently large or small numbers, with thresholds determined by the powerlimits parameter. The line I added above will force scientific notation. The ticklabel_format method needs another kwarg to enable setting the powerlimits. Eric - This SF.Net email is sponsored by the Moblin Your Move Developer's challenge Build the coolest Linux based applications with Moblin SDK win great prizes Grand prize is a trip for two to an Open Source event anywhere in the world http://moblin-contest.org/redirect.php?banner_id=100url=/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] plotting numbers on axes in scientific notation
Eric Firing wrote: Fabrice Silva wrote: Le mardi 09 septembre 2008 à 08:26 -0400, Michael Droettboom a écrit : You can use def ticklabel_format(self, **kwargs): It did not figure how to use that! I've tried in ipython : import numpy as np t = np.linspace(0,1,1024) f = np.sin(10*t)/1e5 plot(t,f) ax = gca() ax.ticklabel_format(style='sci', axis='y') ax.yaxis.major.formatter.set_powerlimits((0,0)) show() but the yticklabels are still in plain notation... I've googled, but I still can not find where I am wrong! Yes, this is confusing. The problem is that the scientific style uses scientific notation only for sufficiently large or small numbers, with thresholds determined by the powerlimits parameter. The line I added above will force scientific notation. The ticklabel_format method needs another kwarg to enable setting the powerlimits. Done in svn 6148. I called the kwarg 'scilimits' to emphasize that it works with the 'sci' style; if there are comments to the effect that I should have called it 'powerlimits' for consistency with the corresponding ScalarFormatter method, I can change it. With the change in svn, instead of the line I added above, your call to ticklabel_format would be: ax.ticklabel_format(style='sci', scilimits=(0,0), axis='y') Eric - This SF.Net email is sponsored by the Moblin Your Move Developer's challenge Build the coolest Linux based applications with Moblin SDK win great prizes Grand prize is a trip for two to an Open Source event anywhere in the world http://moblin-contest.org/redirect.php?banner_id=100url=/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
