Re: [Matplotlib-users] Different between canvas.draw() and canvas.restore_region()??
Thanks for your help. I get it work. However, an interesting thing appears. The following two codes(code 1 and code 2) makes different result??? Only set background in different place. Anyone can tell me why? I am eager to know it. ##code 1 import wx from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg from matplotlib.figure import Figure class Temp: def __init__(self): self.step=0 app = wx.PySimpleApp() frame=wx.Frame(None,size=(700,500)) frame.Show(True) ##Creat figure , canvas , axe. fig = Figure((8.8,6),facecolor='w') self.canvas = FigureCanvasWxAgg(frame, -1, fig) self.ax=fig.add_axes([0.1,0.15,0.7,0.7],axisbg='#dedff7') ##Create line on axe. self.y=[1,1] self.x=[0,10] self.line,=self.ax.plot(self.x,self.y,animated=True) ##Bind timer to refresh line timer=wx.Timer() timer.Bind(wx.EVT_TIMER, self.OnTimer, timer) timer.Start(1000) app.MainLoop() def OnTimer(self,event): self.step=self.step+1 if self.step==1: self.background=self.canvas.copy_from_bbox(self.ax.bbox) self.y=[self.y[0]+0.005,self.y[1]+0.005] self.canvas.restore_region(self.background) self.line.set_data(self.x,self.y) self.ax.draw_artist(self.line) self.canvas.blit(self.ax.bbox) Temp() ##Code 2 import wx from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg from matplotlib.figure import Figure class Temp: def __init__(self): self.step=0 app = wx.PySimpleApp() frame=wx.Frame(None,size=(700,500)) frame.Show(True) ##Creat figure , canvas , axe. fig = Figure((8.8,6),facecolor='w') self.canvas = FigureCanvasWxAgg(frame, -1, fig) self.ax=fig.add_axes([0.1,0.15,0.7,0.7],axisbg='#dedff7') ##Create line on axe. self.y=[1,1] self.x=[0,10] self.line,=self.ax.plot(self.x,self.y,animated=True) self.background=self.canvas.copy_from_bbox(self.ax.bbox) ##Bind timer to refresh line timer=wx.Timer() timer.Bind(wx.EVT_TIMER, self.OnTimer, timer) timer.Start(1000) app.MainLoop() def OnTimer(self,event): self.step=self.step+1 self.y=[self.y[0]+0.005,self.y[1]+0.005] self.canvas.restore_region(self.background) self.line.set_data(self.x,self.y) self.ax.draw_artist(self.line) self.canvas.blit(self.ax.bbox) Temp() -- View this message in context: http://www.nabble.com/Different-between-canvas.draw%28%29-and-canvas.restore_region%28%29---tp16790656p16801603.html Sent from the matplotlib - users mailing list archive at Nabble.com. - This SF.net email is sponsored by the 2008 JavaOne(SM) Conference Don't miss this year's exciting event. There's still time to save $100. Use priority code J8TL2D2. http://ad.doubleclick.net/clk;198757673;13503038;p?http://java.sun.com/javaone ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Compiler error on OS X 10.5.2 in agg
John Hunter wrote: > On Mon, Mar 24, 2008 at 2:48 PM, Charlie Moad <[EMAIL PROTECTED]> wrote: >> This is a compiler problem the with the gcc on 10.5.2 (and 10.5.1 >> I think). I found the same error message on many google hits outside of >> matplotlib. Your suggestion of compiling with -Os for the two problem files >> worked fine for me. > > > What is the best way to set this flag? Can it be done with an > environment variable or by editing a config file? http://docs.python.org/inst/tweak-flags.html#SECTION00061 Have you tried the methods above? (I have not.) They would apply to the whole build, but for mpl I don't see that as a problem, provided they make the build work. Eric - This SF.net email is sponsored by the 2008 JavaOne(SM) Conference Don't miss this year's exciting event. There's still time to save $100. Use priority code J8TL2D2. http://ad.doubleclick.net/clk;198757673;13503038;p?http://java.sun.com/javaone ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Compiler error on OS X 10.5.2 in agg
On Mon, Mar 24, 2008 at 2:48 PM, Charlie Moad <[EMAIL PROTECTED]> wrote: > This is a compiler problem the with the gcc on 10.5.2 (and 10.5.1 > I think). I found the same error message on many google hits outside of > matplotlib. Your suggestion of compiling with -Os for the two problem files > worked fine for me. What is the best way to set this flag? Can it be done with an environment variable or by editing a config file? JDH - This SF.net email is sponsored by the 2008 JavaOne(SM) Conference Don't miss this year's exciting event. There's still time to save $100. Use priority code J8TL2D2. http://ad.doubleclick.net/clk;198757673;13503038;p?http://java.sun.com/javaone ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Different between canvas.draw() and canvas.restore_region()??
On Sun, Apr 20, 2008 at 3:33 AM, hjc520070 <[EMAIL PROTECTED]> wrote: > > canvas.draw() is slow in animation, I have succeed in replacing it with > canvas.restore_region(). And it is wonderful. > However, in the following, I fail to make it work the same as > canvas.draw().The following code can work. And creat a dynamic line. When I > work with the statement "#self.canvas.draw()" .The result is exactly what I > want. > > However, canvas.restore_region() fail to do as canvas.draw() here. The > problem is when I refresh the line, the previous line is not clear as I want > to.Could anyone help me? Thanks. The basic idiom is show in the attached example animation_blit.py. You create a line with the "amimated" property set True. Then calling draw will draw everything but the animated objects line, = p.plot(x, npy.sin(x), animated=True, lw=2) Then you copy the drawn region minus the animated parts as a background. On the first draw, do .background = canvas.copy_from_bbox(ax.bbox) Then to animate your line, restore the background, update your line data, and blit the region: canvas.restore_region(background) line.set_ydata(ydata) ax.draw_artist(line) canvas.blit(ax.bbox) There are animation blit examples for most GUI toolkits in the examples directory. JDH animation_blit.py Description: Binary data - This SF.net email is sponsored by the 2008 JavaOne(SM) Conference Don't miss this year's exciting event. There's still time to save $100. Use priority code J8TL2D2. http://ad.doubleclick.net/clk;198757673;13503038;p?http://java.sun.com/javaone___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] [n00b] removing y axis and keeping x
On 4/19/08, Eric Firing <[EMAIL PROTECTED]> wrote: > Daniel Fetchinson wrote: > [...] > > Yes, this would be really useful. For the moment I'll just turn off > > all axis, I managed to do that. By the way is it possible to just turn > > off the axis and not the tick labels? > > In your example below you could try > graph.set_frame_on(False) > That will leave the ticks and the tick labels but remove the box and > the axes background, leaving the figure background (which you can set if > needed). If you also want to knock out the ticks, you can do this: > > tl = graph.xaxis.get_ticklines() > for t in tl: > t.set_visible(False) > > and similarly for yaxis. > > [...] > > Maybe I'm misunderstanding something but this doesn't really work as > > intended. I have this: > > > > figure = pylab.figure( ) > > figure.add_axes( [0,0,1,1] ) # this I added following your advice > > graph = figure.add_subplot(111) > > Replace the last two lines above with the single line: >graph = figure.add_axes( [0,0,1,1] ) > and the rest should work. > > Eric > Great, thanks very much! Cheers, Daniel - This SF.net email is sponsored by the 2008 JavaOne(SM) Conference Don't miss this year's exciting event. There's still time to save $100. Use priority code J8TL2D2. http://ad.doubleclick.net/clk;198757673;13503038;p?http://java.sun.com/javaone ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Different between canvas.draw() and canvas.restore_region()??
canvas.draw() is slow in animation, I have succeed in replacing it with canvas.restore_region(). And it is wonderful. However, in the following, I fail to make it work the same as canvas.draw().The following code can work. And creat a dynamic line. When I work with the statement "#self.canvas.draw()" .The result is exactly what I want. However, canvas.restore_region() fail to do as canvas.draw() here. The problem is when I refresh the line, the previous line is not clear as I want to.Could anyone help me? Thanks. import wx from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg from matplotlib.figure import Figure class Temp: def __init__(self): app = wx.PySimpleApp() frame=wx.Frame(None,size=(700,500)) frame.Show(True) ##Creat figure , canvas , axe. fig = Figure((8.8,6),facecolor='w') self.canvas = FigureCanvasWxAgg(frame, -1, fig) self.ax=fig.add_axes([0.1,0.15,0.7,0.7],axisbg='#dedff7') ##Get background for OnTimer function. self.background=self.canvas.copy_from_bbox(self.ax.bbox) ##Create line on axe. self.y=[1,1] self.x=[0,10] self.line,=self.ax.plot(self.x,self.y) ##Bind timer to refresh line timer=wx.Timer() timer.Bind(wx.EVT_TIMER, self.OnTimer, timer) timer.Start(1000) app.MainLoop() def OnTimer(self,event): self.y=[self.y[0]+0.005,self.y[1]+0.005] self.line.set_data(self.x,self.y) self.canvas.restore_region(self.background) self.ax.draw_artist(self.line) self.canvas.blit(self.ax.bbox) self.canvas.gui_repaint() #self.canvas.draw() Temp() -- View this message in context: http://www.nabble.com/Different-between-canvas.draw%28%29-and-canvas.restore_region%28%29---tp16790656p16790656.html Sent from the matplotlib - users mailing list archive at Nabble.com. - This SF.net email is sponsored by the 2008 JavaOne(SM) Conference Don't miss this year's exciting event. There's still time to save $100. Use priority code J8TL2D2. http://ad.doubleclick.net/clk;198757673;13503038;p?http://java.sun.com/javaone ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
