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Bryan Fodness wrote: > i have used this command on windows vista with no problem. > > fill([x1,x2,x2,x1], [y1,y1,y2,y2], fc='None', ec='r') > > but when i run on fedora 8, i receive the following. [...] > File "/usr/lib/python2.5/site-packages/matplotlib/colors.py", line > 429, in tob > raise ValueError('to_rgb: Invalid rgb arg "%s"\n%s' % (str(arg), > exc)) > ValueError: to_rgb: Invalid rgb arg "None" > invalid literal for float(): None > could someone tell me if i am missing something? > Sounds like you have an older mpl version on the Fedora machine than on the Win box. Eric
i have used this command on windows vista with no problem. fill([x1,x2,x2,x1], [y1,y1,y2,y2], fc='None', ec='r') but when i run on fedora 8, i receive the following. (most recent call last): File "./program.py", line 361, in <module> savefig(outfile) File "/usr/lib/python2.5/site-packages/matplotlib/pylab.py", line 796, in savg return fig.savefig(*args, **kwargs) File "/usr/lib/python2.5/site-packages/matplotlib/figure.py", line 727, in sag self.canvas.print_figure(*args, **kwargs) File "/usr/lib/python2.5/site-packages/matplotlib/backends/backend_agg.py", le self.draw() File "/usr/lib/python2.5/site-packages/matplotlib/backends/backend_agg.py", lw self.figure.draw(renderer) File "/usr/lib/python2.5/site-packages/matplotlib/figure.py", line 569, in drw for a in self.axes: a.draw(renderer) File "/usr/lib/python2.5/site-packages/matplotlib/axes.py", line 1155, in draw a.draw(renderer) File "/usr/lib/python2.5/site-packages/matplotlib/patches.py", line 209, in dw else: rgbFace = colorConverter.to_rgb(self._facecolor) File "/usr/lib/python2.5/site-packages/matplotlib/colors.py", line 429, in tob raise ValueError('to_rgb: Invalid rgb arg "%s"\n%s' % (str(arg), exc)) ValueError: to_rgb: Invalid rgb arg "None" invalid literal for float(): None could someone tell me if i am missing something? -- "The game of science can accurately be described as a never-ending insult to human intelligence." - João Magueijo
On Fri, May 9, 2008 at 2:31 PM, Bryan Fodness <bry...@gm...> wrote: > i have been using the fill function to highlight a region on my plot, but > now i do not want it to be filled. i have tried using alpha=0.1, but that > also makes my edgecolor transparent. is there a "box" function that does > not fill a region yet still has the outline of the "box". i tried using > patch.rectangle, but it was not what i needed. Use a matplotlib.patches.Rectangle, and set the facecolor='None': import matplotlib.pyplot as plt import matplotlib.patches as patches fig = plt.figure() ax = fig.add_subplot(111) ax.plot([1,2,3], [1,2,3]) # use zorder to make sure it is over the line rect = patches.Rectangle((1.5, 1.5), 1.0, 1.0, facecolor='None', zorder=10) ax.add_patch(rect) plt.show() Hope this helps, JDH
i have been using the fill function to highlight a region on my plot, but now i do not want it to be filled. i have tried using alpha=0.1, but that also makes my edgecolor transparent. is there a "box" function that does not fill a region yet still has the outline of the "box". i tried using patch.rectangle, but it was not what i needed. -- "The game of science can accurately be described as a never-ending insult to human intelligence." - João Magueijo
Hallo, thank you for this huge amount of input. I think, that is what I needed. Have a nice weekend. Regards.. Thomas John Hunter-4 wrote: > > On Thu, May 8, 2008 at 10:10 AM, dertom <tw...@ar...> wrote: > >> Please, can anybody tell me, if there is a solution, to call the show() >> method more than one time,while my main script is running? > > To do this right, you will probably need to write a tk application and > embed matplotlib in it, rather than try to use pylab. See the > embedding_in_tk*.py examples at http://matplotlib.sf.net/examples/. > There is also a tutorial on working with the matplotlib artist API at > http://matplotlib.sf.net/pycon > > http://matplotlib.sourceforge.net/pycon/artist_api_tut.pdf > > There are a couple of other FAQs that are relevant > > http://matplotlib.sf.net/faq.html#OO > http://matplotlib.sf.net/faq.html#SHOW > > 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ドル. > Use priority code J8TL2D2. > http://ad.doubleclick.net/clk;198757673;13503038;p?http://java.sun.com/javaone > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > > -- View this message in context: http://www.nabble.com/How-to-handle-different-Figures%2C-created-from-different-instances-tp17127297p17153058.html Sent from the matplotlib - users mailing list archive at Nabble.com.
Hi John, JH> or you can manually change this with JH> JH> fig.subplots_adjust(bottom=0.2) Aha! I had been using rc('figure.subplot', bottom=0.2), but I was looking for a better way. Thanks! -- Chris
On Fri, May 9, 2008 at 9:38 AM, Neal Becker <ndb...@gm...> wrote: > I have sets of data to plot on semilogy. I want the minimum y axis set to > some value, say 10e-10. > > I do: > axis([0,1,1e-10,1]) > hold(True) > for (whatever): > semilogy (x, y) > grid() > legend() > show() semilogy calls the autoscale machinery, so you either need to call "axis" at the end, or turn off autoscaling after you have set it: ax.set_autoscale_on(False) JDH
I have sets of data to plot on semilogy. I want the minimum y axis set to some value, say 10e-10. I do: axis([0,1,1e-10,1]) hold(True) for (whatever): semilogy (x, y) grid() legend() show() But the data is not clipped in y from [1e-10..1] as I wanted. What's wrong here?
On Thu, May 8, 2008 at 10:10 AM, dertom <tw...@ar...> wrote: > Please, can anybody tell me, if there is a solution, to call the show() > method more than one time,while my main script is running? To do this right, you will probably need to write a tk application and embed matplotlib in it, rather than try to use pylab. See the embedding_in_tk*.py examples at http://matplotlib.sf.net/examples/. There is also a tutorial on working with the matplotlib artist API at http://matplotlib.sf.net/pycon http://matplotlib.sourceforge.net/pycon/artist_api_tut.pdf There are a couple of other FAQs that are relevant http://matplotlib.sf.net/faq.html#OO http://matplotlib.sf.net/faq.html#SHOW JDH
On Thu, May 8, 2008 at 11:39 PM, Tim Mitchell <tim...@gm...> wrote: > I can use the axes position to work I guess but that seems rather > unsatisfactory as I'll have to figure out when it's being displayed or > not, font sizing and spacing blah blah blah. > Is there an easier way around this (or a fix?)? I'm using v0.90.0 There is no current way to automate this easily -- Michael has done some experimental work for autosizing the axes to make room for the text on the svn trunk, but it is not complete. There is a parameter that you can set in your matplotlibrc figure.subplot.bottom to make the bottom of the axes higher by default, or you can manually change this with fig.subplots_adjust(bottom=0.2) JDH
Søren Nielsen wrote: > > Søren Nielsen wrote: > > Also, if I want to use matplotlib.patches on a canvas where I > can actually see individual pixels, is it possible to only > draw on the available pixels showing, and not just make a nice > high resolution line that is plotted on top of my image? > > I'm not sure I understand the question. You mean to draw a line > using large pixels, rather than as a vector? I don't think > there's an easy way on that one -- but maybe someone else here can > think of a creative way to do it. > > > Yes you understod it correctly, I guess I could figure out what pixels > are involved in a line or a circle for instance, and then do a scatter > plot on those pixels to form the shape.. but it sounds really > computationally heavy.. and I need something that works fast, (the > user should be able to mask a circle in an image using the pixels > available in the image) Also the circle should be shown as it is > created (like choosing a center and moving the mouse enlarges the > circle). > > Maybe someone tried this? masking stuff in an image seems like a > fairly common thing :) Of the top of my head and hand waving over all of the gory details -- you could try drawing the line to one plot, saving the image (to a CStringIO in-memory "file"), and then loading that into another plot using imshow(). (Easier said than done, but should be theoretically possible, and not extremely slow). Mike > > Thanks for the help! > Soren > > > > > > Cheers, > Mike > > > Thanks, > Soren > > > ------------------------------------------------------------------------ > > ------------------------------------------------------------------------- > 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ドル. Use priority code J8TL2D2. > http://ad.doubleclick.net/clk;198757673;13503038;p?http://java.sun.com/javaone > ------------------------------------------------------------------------ > > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > <mailto:Mat...@li...> > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > > > > -- > Michael Droettboom > Science Software Branch > Operations and Engineering Division > Space Telescope Science Institute > Operated by AURA for NASA > > -- Michael Droettboom Science Software Branch Operations and Engineering Division Space Telescope Science Institute Operated by AURA for NASA
Jouni K. Seppänen wrote: > Christopher Brown <c-...@as...> writes: > > >> I have read a little bit online about the difference between types 1 >> and 3, but I can't find a description of which font is which type. So >> what font should I use? >> > > Try setting the pdf.fonttype parameter in your matplotlibrc file to 42 > and see if the resulting file passes validation. Matplotlib currently > only uses TrueType fonts, which can be embedded in either Type 3 or Type > 42 format. I seem to recall there was some problem with the Type 42 > format so Type 3 was made the default; Michael Droettboom probably > remembers it better. Type 42 fonts are currently working, as far as I know. There was a transient problem with them but I think that's fixed. Type 3 is the default just because it makes the files smaller. Cheers, Mike -- Michael Droettboom Science Software Branch Operations and Engineering Division Space Telescope Science Institute Operated by AURA for NASA
Hi, First I want to thanks for this amazing Matplotlib. It's fantastic! My newbie question is how I can show the (zoom, pan, etc) toolbar in embedding_in_qt.py example? I have noticed that in animation_blit_qt.py the toolbar is available, but it seems to be done in a different way. Appreciate your help! Thank you, /Behnam
Hi, When matplotlib uses an axis multiplier, as in x-axis in the script below, the scale factor is not positioned properly on the figure as is shown in the attached picture. The 'x1e+30' in the bottom right corner is clipped unless I enlarge the window. -------------------- import Numeric, gtk import matplotlib matplotlib.use('GTK') import matplotlib.figure, matplotlib.axes, matplotlib.backends.backend_gtk # data values = Numeric.array([-1e30, -1e30, 0,1,2,3,4,5,6,7,8,9], 'd') # figure figsize=(6,3) figure = matplotlib.figure.Figure(figsize=figsize) canvas = matplotlib.backends.backend_gtk.FigureCanvasGTK(figure) axes = matplotlib.axes.Subplot(figure, 111) figure.add_axes(axes) axes.hist(values, bins=10) axes.set_title('X-scale multiplier is hidden', fontsize=10) # window to display window = gtk.Window() window.connect('destroy', gtk.main_quit) window.add(canvas) window.show_all() gtk.main() -------------------- I can use the axes position to work I guess but that seems rather unsatisfactory as I'll have to figure out when it's being displayed or not, font sizing and spacing blah blah blah. Is there an easier way around this (or a fix?)? I'm using v0.90.0 Thanks Tim -- Tim Mitchell Software Engineer Applied Research Associates (NZ) Ltd. (www.aranz.com) Ph: +64 (3) 374-6120 ext: 203 Fax: +64 (3) 374-6130 Skype: tim-mitchell
Hi, When matplotlib uses an axis multiplier, as in x-axis in the script below, the scale factor is not positioned properly on the figure as is shown in the attached picture. The 'x1e+30' in the bottom right corner is clipped unless I enlarge the window. -------------------- import Numeric, gtk import matplotlib matplotlib.use('GTK') import matplotlib.figure, matplotlib.axes, matplotlib.backends.backend_gtk # data values = Numeric.array([-1e30, -1e30, 0,1,2,3,4,5,6,7,8,9], 'd') # figure figsize=(6,3) figure = matplotlib.figure.Figure(figsize=figsize) canvas = matplotlib.backends.backend_gtk.FigureCanvasGTK(figure) axes = matplotlib.axes.Subplot(figure, 111) figure.add_axes(axes) axes.hist(values, bins=10) axes.set_title('X-scale multiplier is hidden', fontsize=10) # window to display window = gtk.Window() window.connect('destroy', gtk.main_quit) window.add(canvas) window.show_all() gtk.main() -------------------- I can use the axes position to work I guess but that seems rather unsatisfactory as I'll have to figure out when it's being displayed or not, font sizing and spacing blah blah blah. Is there an easier way around this (or a fix?)? I'm using v0.90.0 Thanks Tim