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<html> <head> <meta content="text/html; charset=utf-8" http-equiv="Content-Type"> </head> <body bgcolor="#FFFFFF" text="#000000"> <div class="moz-cite-prefix">Tom,<br> <br> I just updated to 1.4.3, and yes, the bug is still there. I am attaching the PDF and PNG outputs, the python script, as well as the output from 'python textbox_padding_pdf.py --verbose-helpful > output.txt'.<br> <br> -Sourish<br> <br> On 05/07/2015 11:19 AM, Thomas Caswell wrote:<br> </div> <blockquote cite="mid:CAA48SF-o=+ci_aj+zM1J=cTD...@ma..." type="cite"> <div dir="ltr">Sourish,<br> <br> We no longer are updating the 1.3.x releases. Can you reproduce this problem using 1.4.3? <div><br> </div> <div>Tom</div> </div> <br> <div class="gmail_quote">On Thu, May 7, 2015 at 11:14 AM Sourish Basu <<a moz-do-not-send="true" href="mailto:sou...@gm...">sou...@gm...</a>> wrote:<br> <blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"> <div bgcolor="#FFFFFF" text="#000000"> Hello,<br> <br> I have been fighting with this problem for some time. It seems that if, on a plot, I have some text inside a bounding box, it displays fine on the screen, saves OK as a PNG, but when I save the plot as a PDF the padding on the right side between the text and the box disappears. I have attached a minimal example with a text box, but this problem occurs for legends as well, if the legend text is long-ish. I am also attaching a PNG and a PDF output, as well as how the PDF shows up on my viewer. Has anyone else experienced this?<br> <br> Other relevant info:<br> <br> <b>$ uname -a</b><br> Linux Merlin 3.2.0-77-generic #114-Ubuntu SMP Tue Mar 10 17:26:03 UTC 2015 x86_64 x86_64 x86_64 GNU/Linux<br> <br> <b>$ python -c 'import matplotlib; print matplotlib.__version__'</b><br> 1.3.1<br> <br> <b>Where I obtained matplotlib:</b> <br> The matplotlib SourceForge site<br> <br> <b>Customisations to </b><b>matplotlibrc:</b><br> backend : Qt4Agg<br> lines.markersize : 10 # markersize, in points<br> font.sans-serif : Ubuntu, Calibri, Liberation Sans<br> font.monospace : Consolas, Inconsolata, Ubuntu Mono, Droid Sans Mono<br> axes.color_cycle : e41a1c, 377eb8, 4daf4a, 984ea3, ff7f00, ffff33, a65628, f781bf, 999999<br> pdf.fonttype : 42 # Output Type 3 (Type3) or Type 42 (TrueType) # I have tried with fonttype=3 as well, and the bug still exists<br> <br> <b>$ python bug_test.py --verbose-helpful > output.txt</b><br> output.txt attached<br> <br> Thanks,<br> Sourish<br> <br> </div> ------------------------------------------------------------------------------<br> One dashboard for servers and applications across Physical-Virtual-Cloud<br> Widest out-of-the-box monitoring support with 50+ applications<br> Performance metrics, stats and reports that give you Actionable Insights<br> Deep dive visibility with transaction tracing using APM Insight.<br> <a moz-do-not-send="true" href="http://ad.doubleclick.net/ddm/clk/290420510;117567292;y" target="_blank">http://ad.doubleclick.net/ddm/clk/290420510;117567292;y</a>_______________________________________________<br> Matplotlib-users mailing list<br> <a moz-do-not-send="true" href="mailto:Mat...@li..." target="_blank">Mat...@li...</a><br> <a moz-do-not-send="true" href="https://lists.sourceforge.net/lists/listinfo/matplotlib-users" target="_blank">https://lists.sourceforge.net/lists/listinfo/matplotlib-users</a><br> </blockquote> </div> </blockquote> <br> <br> <div class="moz-signature">-- <br> <b>Q:</b> What if you strapped C4 to a boomerang? Could this be an effective weapon, or would it be as stupid as it sounds?<br> <b>A:</b> Aerodynamics aside, I’m curious what tactical advantage you’re expecting to gain by having the high explosive fly back at you if it misses the target.<br> </div> </body> </html>
It is doing it every where. Also look at the tick above the 2 on the bottom it is slightly clipped. It is definitely seems worse on the top, which might be showing a fence-post issue in the clipping/Agg rendering. As the OP points out zooming in on http://matplotlib.org/mpl_examples/pylab_examples/zorder_demo_01.pdf makes it really obvious that this is the case everywhere. That said, I don't think that this is a 'bug' persay. We have to pick _some_ zorder for the frame and 2.5 is is good as any other. We do have a documentation problem as I don't know where that information is other than in the source. Tom On Thu, May 7, 2015 at 11:38 AM Benjamin Root <ben...@ou...> wrote: > But, why is it doing that only along the top edge and not the other edges > (or are my eyes that bad)? > > On Thu, May 7, 2015 at 11:30 AM, Thomas Caswell <tca...@gm...> > wrote: > >> zorder can be negative, if you want to ensure that all of your lines are >> always below all of the standard axis components simple decrease the >> zorder of the elements you want behind rather than increasing the zorder of >> the elements you want in front. >> >> @ben look at the top left of >> http://matplotlib.org/mpl_examples/pylab_examples/zorder_demo_01.hires.png >> and compare where it looks like the red and green lines are clipped. >> >> Tom >> >> On Thu, May 7, 2015 at 11:14 AM plotter <pl...@tr...> wrote: >> >>> The second example on >>> http://matplotlib.org/examples/pylab_examples/zorder_demo.html seems to >>> expose a bug, which is clearly visible in the vector version: >>> >>> The blue curve with zorder=2 is plotted below the frame and all others >>> with >>> zorder >= 3 are plotted above the frame. This is because the frame >>> zorder is >>> hardcoded to be 2.5. This behaviour is certainly unexpected by most >>> users. >>> How can one modify the mutual zorder of lines without conflicting with >>> standard axis elements? >>> >>> >>> >>> -- >>> View this message in context: >>> http://matplotlib.1069221.n5.nabble.com/bug-in-zorder-example-tp45342.html >>> Sent from the matplotlib - users mailing list archive at Nabble.com. >>> >>> >>> ------------------------------------------------------------------------------ >>> One dashboard for servers and applications across Physical-Virtual-Cloud >>> Widest out-of-the-box monitoring support with 50+ applications >>> Performance metrics, stats and reports that give you Actionable Insights >>> Deep dive visibility with transaction tracing using APM Insight. >>> http://ad.doubleclick.net/ddm/clk/290420510;117567292;y >>> _______________________________________________ >>> Matplotlib-users mailing list >>> Mat...@li... >>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users >>> >> >> >> ------------------------------------------------------------------------------ >> One dashboard for servers and applications across Physical-Virtual-Cloud >> Widest out-of-the-box monitoring support with 50+ applications >> Performance metrics, stats and reports that give you Actionable Insights >> Deep dive visibility with transaction tracing using APM Insight. >> http://ad.doubleclick.net/ddm/clk/290420510;117567292;y >> _______________________________________________ >> Matplotlib-users mailing list >> Mat...@li... >> https://lists.sourceforge.net/lists/listinfo/matplotlib-users >> >> >
But, why is it doing that only along the top edge and not the other edges (or are my eyes that bad)? On Thu, May 7, 2015 at 11:30 AM, Thomas Caswell <tca...@gm...> wrote: > zorder can be negative, if you want to ensure that all of your lines are > always below all of the standard axis components simple decrease the > zorder of the elements you want behind rather than increasing the zorder of > the elements you want in front. > > @ben look at the top left of > http://matplotlib.org/mpl_examples/pylab_examples/zorder_demo_01.hires.png > and compare where it looks like the red and green lines are clipped. > > Tom > > On Thu, May 7, 2015 at 11:14 AM plotter <pl...@tr...> wrote: > >> The second example on >> http://matplotlib.org/examples/pylab_examples/zorder_demo.html seems to >> expose a bug, which is clearly visible in the vector version: >> >> The blue curve with zorder=2 is plotted below the frame and all others >> with >> zorder >= 3 are plotted above the frame. This is because the frame zorder >> is >> hardcoded to be 2.5. This behaviour is certainly unexpected by most users. >> How can one modify the mutual zorder of lines without conflicting with >> standard axis elements? >> >> >> >> -- >> View this message in context: >> http://matplotlib.1069221.n5.nabble.com/bug-in-zorder-example-tp45342.html >> Sent from the matplotlib - users mailing list archive at Nabble.com. >> >> >> ------------------------------------------------------------------------------ >> One dashboard for servers and applications across Physical-Virtual-Cloud >> Widest out-of-the-box monitoring support with 50+ applications >> Performance metrics, stats and reports that give you Actionable Insights >> Deep dive visibility with transaction tracing using APM Insight. >> http://ad.doubleclick.net/ddm/clk/290420510;117567292;y >> _______________________________________________ >> Matplotlib-users mailing list >> Mat...@li... >> https://lists.sourceforge.net/lists/listinfo/matplotlib-users >> > > > ------------------------------------------------------------------------------ > One dashboard for servers and applications across Physical-Virtual-Cloud > Widest out-of-the-box monitoring support with 50+ applications > Performance metrics, stats and reports that give you Actionable Insights > Deep dive visibility with transaction tracing using APM Insight. > http://ad.doubleclick.net/ddm/clk/290420510;117567292;y > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > >
Looks like nabble swallowed your code snippet. Here it is: ``` import matplotlib.pyplot as plt import mpl_toolkits.mplot3d.axes3d as p3 import numpy.random as rnd import numpy as np TILL = 200 # just to have an end in the for loop def SSI(t): #Simulated Serial Input T = np.asarray(t) X = np.sin(T) Y = np.cos(T) return X,Y,T t = range(0,TILL/2) plt.ion() fig = plt.figure() ax = p3.Axes3D(fig) #ax = fig.gca(projection='3d') # same result as Axes3D X,Y,T = SSI(t) g, = ax.plot(X,Y,T) # for set_data method #ax.plot(X,Y,T) # not using set_data method plt.ylim([-1.5,1.5]) plt.xlim([-1.5,1.5]) for i in range(TILL): val = rnd.random(1) t.append(val) t.pop(0) X,Y,T = SSI(t) #plt.plot(X,Y,T) g.set_data(X,Y) # #ax.set_zlim(i,i+100) # to make the time axis sliding plt.draw() #g.axes.figure.canvas.draw() # Same result as plt.draw() ``` Unfortunately, IIRC, set_data() for the 3d objects is probably not what you want. See https://github.com/matplotlib/matplotlib/issues/1483. Ben Root On Sat, May 2, 2015 at 7:05 AM, arjunascagnetto <arj...@gm...> wrote: > hi, > > > I try to make my question as clear as possible. I need to plot 2 > dimensional > data coming from the serial onto a 3d plot with the third axes made of time > flowing. > > I wrote this code (it's just one of the many tries). It's about the > plotting > only, not worring about buffer from serial etc etc... > > > > > With set_data i have a static picture, with ax.plot at every for index I > can't understand what's happening. > > any help would be really appreciate. > > > > -- > View this message in context: > http://matplotlib.1069221.n5.nabble.com/2D-data-plotted-in-a-3D-plot-by-adding-time-flow-dimension-tp45468.html > Sent from the matplotlib - users mailing list archive at Nabble.com. > > > ------------------------------------------------------------------------------ > One dashboard for servers and applications across Physical-Virtual-Cloud > Widest out-of-the-box monitoring support with 50+ applications > Performance metrics, stats and reports that give you Actionable Insights > Deep dive visibility with transaction tracing using APM Insight. > http://ad.doubleclick.net/ddm/clk/290420510;117567292;y > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users >
zorder can be negative, if you want to ensure that all of your lines are always below all of the standard axis components simple decrease the zorder of the elements you want behind rather than increasing the zorder of the elements you want in front. @ben look at the top left of http://matplotlib.org/mpl_examples/pylab_examples/zorder_demo_01.hires.png and compare where it looks like the red and green lines are clipped. Tom On Thu, May 7, 2015 at 11:14 AM plotter <pl...@tr...> wrote: > The second example on > http://matplotlib.org/examples/pylab_examples/zorder_demo.html seems to > expose a bug, which is clearly visible in the vector version: > > The blue curve with zorder=2 is plotted below the frame and all others with > zorder >= 3 are plotted above the frame. This is because the frame zorder > is > hardcoded to be 2.5. This behaviour is certainly unexpected by most users. > How can one modify the mutual zorder of lines without conflicting with > standard axis elements? > > > > -- > View this message in context: > http://matplotlib.1069221.n5.nabble.com/bug-in-zorder-example-tp45342.html > Sent from the matplotlib - users mailing list archive at Nabble.com. > > > ------------------------------------------------------------------------------ > One dashboard for servers and applications across Physical-Virtual-Cloud > Widest out-of-the-box monitoring support with 50+ applications > Performance metrics, stats and reports that give you Actionable Insights > Deep dive visibility with transaction tracing using APM Insight. > http://ad.doubleclick.net/ddm/clk/290420510;117567292;y > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users >
A quick-n-dirty way would be to use markers via the scatter() function. Just set the facecolor to 'none', and some very large markersize value. Ben Root On Wed, Apr 8, 2015 at 12:49 PM, LowDepth <Hag...@gm...> wrote: > Hello, > > how can I plot circles or other shapes in plots which have logarithmic > axis? > I have a grid of 3 plots and want to plot some kind of sketches in the > lower > right corner of > each subplot. How should I do that? > > import numpy as np > from matplotlib import pyplot as plt > from matplotlib import gridspec > > fig = plt.figure(figsize=(6, 10)) > gs = gridspec.GridSpec(3, 1, height_ratios=[1.5, 1, 1])#, height_ratios=[2, > 1, 1]) > ax0 = plt.subplot(gs[0]) > ax1 = plt.subplot(gs[1]) > ax2 = plt.subplot(gs[2]) > plt.setp(ax_new.get_yticklabels(), visible=False) > plt.setp(ax_new.get_xticklabels(), visible=False) > ax_new = fig.add_axes([0,0,1,1], frameon=False,aspect="equal") > ax_new.axes.get_yaxis().set_visible(False) > ax_new.axes.get_xaxis().set_visible(False) > circle1=plt.Circle((0.2,0.0),0.05, color="0.8") > circle2=plt.Circle((0.4,0.0),0.05, color="0.8") > ax_new.add_artist(circle1) > ax_new.add_artist(circle2) > > ax0.semilogx(x,x**2, "k-", linewidth=2) > ax1.semilogx(x,x**3, "k--", linewidth=2) > ax2.semilogx(x,np.exp(-x)+x**4, "k-.", linewidth=2) > plt.tight_layout() > plt.show() > > > > -- > View this message in context: > http://matplotlib.1069221.n5.nabble.com/How-to-draw-circles-in-logscale-plots-tp45367.html > Sent from the matplotlib - users mailing list archive at Nabble.com. > > > ------------------------------------------------------------------------------ > One dashboard for servers and applications across Physical-Virtual-Cloud > Widest out-of-the-box monitoring support with 50+ applications > Performance metrics, stats and reports that give you Actionable Insights > Deep dive visibility with transaction tracing using APM Insight. > http://ad.doubleclick.net/ddm/clk/290420510;117567292;y > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users >
you can always change the zorder of the frame using set_zorder(). Are you talking about the frame of the legend or the plotting area? On Mon, Apr 6, 2015 at 11:23 AM, plotter <pl...@tr...> wrote: > The second example on > http://matplotlib.org/examples/pylab_examples/zorder_demo.html seems to > expose a bug, which is clearly visible in the vector version: > > The blue curve with zorder=2 is plotted below the frame and all others with > zorder >= 3 are plotted above the frame. This is because the frame zorder > is > hardcoded to be 2.5. This behaviour is certainly unexpected by most users. > How can one modify the mutual zorder of lines without conflicting with > standard axis elements? > > > > -- > View this message in context: > http://matplotlib.1069221.n5.nabble.com/bug-in-zorder-example-tp45342.html > Sent from the matplotlib - users mailing list archive at Nabble.com. > > > ------------------------------------------------------------------------------ > One dashboard for servers and applications across Physical-Virtual-Cloud > Widest out-of-the-box monitoring support with 50+ applications > Performance metrics, stats and reports that give you Actionable Insights > Deep dive visibility with transaction tracing using APM Insight. > http://ad.doubleclick.net/ddm/clk/290420510;117567292;y > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users >
Sourish, We no longer are updating the 1.3.x releases. Can you reproduce this problem using 1.4.3? Tom On Thu, May 7, 2015 at 11:14 AM Sourish Basu <sou...@gm...> wrote: > Hello, > > I have been fighting with this problem for some time. It seems that if, on > a plot, I have some text inside a bounding box, it displays fine on the > screen, saves OK as a PNG, but when I save the plot as a PDF the padding on > the right side between the text and the box disappears. I have attached a > minimal example with a text box, but this problem occurs for legends as > well, if the legend text is long-ish. I am also attaching a PNG and a PDF > output, as well as how the PDF shows up on my viewer. Has anyone else > experienced this? > > Other relevant info: > > *$ uname -a* > Linux Merlin 3.2.0-77-generic #114-Ubuntu SMP Tue Mar 10 17:26:03 UTC 2015 > x86_64 x86_64 x86_64 GNU/Linux > > *$ python -c 'import matplotlib; print matplotlib.__version__'* > 1.3.1 > > *Where I obtained matplotlib:* > The matplotlib SourceForge site > > *Customisations to **matplotlibrc:* > backend : Qt4Agg > lines.markersize : 10 # markersize, in points > font.sans-serif : Ubuntu, Calibri, Liberation Sans > font.monospace : Consolas, Inconsolata, Ubuntu Mono, Droid Sans Mono > axes.color_cycle : e41a1c, 377eb8, 4daf4a, 984ea3, ff7f00, ffff33, a65628, > f781bf, 999999 > pdf.fonttype : 42 # Output Type 3 (Type3) or Type 42 > (TrueType) # I have tried with fonttype=3 as well, and the bug still exists > > *$ python bug_test.py --verbose-helpful > output.txt* > output.txt attached > > Thanks, > Sourish > > > ------------------------------------------------------------------------------ > One dashboard for servers and applications across Physical-Virtual-Cloud > Widest out-of-the-box monitoring support with 50+ applications > Performance metrics, stats and reports that give you Actionable Insights > Deep dive visibility with transaction tracing using APM Insight. > http://ad.doubleclick.net/ddm/clk/290420510;117567292;y > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users >
