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Hi. I have a data set like following: x = [2.06, 2.07, 2.14, 2.09, 2.2, 2.05, 1.92, 2.06, 2.11, 2.07] y = [171.82, 170.8, 159.59, 164.28, 169.98, 162.23, 167.37, 173.81,166.66, 155.13] z = [-1.41, -1.26, -1.07, -1.07, -1.46, -0.95, -0.08, -1.28, -1.2, -0.86] Using matplotlib, scipy.linalg.lstsq function I've got a surface-fit model. But is it possible to print the "equation of the surface ??" Found no clue in documentation page. Please help ! thank you. -- View this message in context: http://matplotlib.1069221.n5.nabble.com/getting-equation-from-a-surface-fit-model-tp45490.html Sent from the matplotlib - users mailing list archive at Nabble.com.
<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 >
Thomas Caswell wrote: > winreg looks like it is for programmatic access to the windows registry which mpl uses to find fonts in windows (https://github.com/matplotlib/matplotlib/blob/master/lib/matplotlib/font_manager.py#L173). > > > I suspect this is a problem with pychecker being too enthusiastic about checking imports. FYI: +*six-1.9.0-r1 (06 May 2015) + + 06 May 2015; Justin Lecher <jl...@ge...> +files/six-1.9.0-winreg.patch, + +six-1.9.0-r1.ebuild, metadata.xml, six-9999.ebuild: + Backport fix for windows only modules, bug #547928 + https://bugs.gentoo.org/show_bug.cgi?id=547928 > > > Tom > > > On Tue, Apr 28, 2015, 08:14 Martin MOKREJŠ <mmo...@gm... <mailto:mmo...@gm...>> wrote: > > Hi Thomas, > thank you for your thoughts. But numpy is installed: > > $ python > Python 2.7.9 (default, Apr 10 2015, 16:21:10) > [GCC 4.9.2] on linux2 > Type "help", "copyright", "credits" or "license" for more information. > >>> import pylab > >>> import numpy > >>> > > Probably you are right that the warnings (reported only by pychecker) are coming from numpy. They appear with *either* of: > > import pylab > import numpy > import matplotlib > > > But, what I really asked for was where does the _winreg come from? It happens only with any of "import pylab" or "import matplotlib". > > Martin > > Thomas Caswell wrote: > > Those look like they are coming up out of numpy. I am not familiar with gentoo, but it looks like numpy is not in the dependencies list. > > > > Tom > > > > > > On Mon, Apr 27, 2015, 16:59 Martin MOKREJŠ <mmo...@gm... <mailto:mmo...@gm...> <mailto:mmo...@gm... <mailto:mmo...@gm...>>> wrote: > > > > Hi, > > I use dev-python/matplotlib-1.4.3 and I suspect this is a recent regression in it. Can anybody reproduce this? > > > > $ pychecker test.py > > Processing module test (test.py)... > > warning: couldn't find real module for class <class 'fftpack.error'> (module name: fftpack) > > warning: couldn't find real module for class <class 'lapack_lite.LapackError'> (module name: lapack_lite) > > warning: couldn't find real module for class <type 'mtrand.RandomState'> (module name: mtrand) > > warning: couldn't find real module for class <type 'mtrand.RandomState'> (module name: mtrand) > > ImportError: No module named _winreg > > warning: couldn't find real module for class <type 'cntr.Cntr'> (module name: cntr) > > > > Warnings... > > > > test.py:3: Imported module (pylab) not used > > $ cat test.py > > #! /usr/bin/python > > > > import pylab > > $
Dear Eric, Thanks for your nice answer. Exactly what I need. Best regards, Jiacong Huang -- View this message in context: http://matplotlib.1069221.n5.nabble.com/Visulization-of-orthogonal-grid-tp45473p45476.html Sent from the matplotlib - users mailing list archive at Nabble.com.
On 2015年05月05日 6:03 PM, GoogleWind wrote: > Dear all, > > Matplotlib currently support the visuliaztion of triangular mesh and > square-cell map. Is there any solutions to support the visulization of > orthogonal grid as follows, > <http://matplotlib.1069221.n5.nabble.com/file/n45473/%E6%8D%95%E8%8E%B7.png> Does pcolormesh do what you need? http://matplotlib.org/examples/pylab_examples/quadmesh_demo.html http://matplotlib.org/api/pyplot_api.html?highlight=pcolormesh#matplotlib.pyplot.pcolormesh Eric > > Thanks in advances for your hints. > > Best regards, > Jiacong Huang > --------------------------------------------------------------------------------------- > Nanjing Institute of Geography & Limnology > Chinese Academy of Sciences > 73 East Beijing Road, Nanjing 210008, China > Tel./Fax: +86-25-86882127 > Homepage: http://www.escience.cn/people/elake/index.html > > > > > -- > View this message in context: http://matplotlib.1069221.n5.nabble.com/Visulization-of-orthogonal-grid-tp45473.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 >
Hi. I am using matplotlib to plot a wireframe over a 3D list data I have. X = [2.06, 2.07, 2.14, 2.09, 2.2, 2.05, 1.92, 2.06, 2.11, 2.07, 2.15, 2.29, 2.06, 2.09, 2.19, 2.19, 2.26, 2.15, 2.15, 2.06, 2.29, 2.27, 2.46, 2.2, 2.01, 2.11, 2.03, 2.1, 2.17, 2.1] Y = [171.82, 170.8, 159.59, 164.28, 169.98, 162.23, 167.37, 173.81, 166.66, 155.13, 156.56, 156.78, 158.15, 163.31, 150.97, 133.91, 142.36, 152.48, 138.6, 153.88, 155.13, 146.09, 147.84, 167.9, 161.82, 168.39, 163.73, 164.03, 169.33, 159.42] Z = [-1.41173660883, -1.26977354468, -1.07436015752, -1.07522326036, -1.46114949754, -0.955999769503, -0.0826570511052, -1.25171489428, -1.2005961876, -0.862264432276, -1.27266152624, -1.55152901892, -0.939999658603, -1.2470594709, 0.40793102312, -1.5375122067, -1.02404937182, -1.38113558714, -0.842054259969, -0.908694881796, -1.57965851609, -1.35631827259, -2.0568110654, -0.783657274668, -0.329844805297, -1.37033049146, -0.853410578988, -1.47048937914, -1.65570962873, -1.21419612238] I am trying to plot it using: ` *data = np.c_[cumualtive_dist,cumulative_ang,cumulative_energ] # regular grid covering the domain of the data... mn = np.min(data, axis=0) mx = np.max(data, axis=0) X,Y = np.meshgrid(np.linspace(mn[0], mx[0], 50), np.linspace(mn[1], mx[1], 50)) XX = X.flatten() YY = Y.flatten() # best-fit quadratic curve A = np.c_[np.ones(data.shape[0]), data[:,:2], np.prod(data[:,:2], axis=1), data[:,:2]**2] C,_,_,_ = scipy.linalg.lstsq(A, data[:,2]) # evaluate it on a grid Z = np.dot(np.c_[np.ones(XX.shape), XX, YY, XX*YY, XX**2, YY**2], C).reshape(X.shape) # Plot scatter-points and fitted 3D surface #----------------------------------------- fig3 = plt.figure(figsize=(10,6)) ax3 = fig3.gca(projection='3d') surf = ax3.plot_surface(X, Y, Z, rstride=1, cstride=1, alpha=0.5, cmap=cm.jet) #Adding a color-bar... fig3.colorbar(surf, shrink=0.6, aspect=6) #ax3.plot_wireframe(X, Y, Z, rstride=1, cstride=1, alpha=0.4) ax3.scatter(data[:,0], data[:,1], data[:,2], c='r', s=5) ax3.set_zlim3d(-5, 5) #Limiting Z-axis... * ` This code is giving a plot looks like(shown below): <http://matplotlib.1069221.n5.nabble.com/file/n45474/figure_3.png> But I was looking for a fitted-graph somewhat-looks like(however not exactly) this: <http://matplotlib.1069221.n5.nabble.com/file/n45474/wire3d_demo1.png> I mean the stretching-of-thread appearance w.r.t. distribution of points, I'm not being able to get such things in mine. -- View this message in context: http://matplotlib.1069221.n5.nabble.com/issue-with-wireframe-plot-tp45474.html Sent from the matplotlib - users mailing list archive at Nabble.com.
Dear all, Matplotlib currently support the visuliaztion of triangular mesh and square-cell map. Is there any solutions to support the visulization of orthogonal grid as follows, <http://matplotlib.1069221.n5.nabble.com/file/n45473/%E6%8D%95%E8%8E%B7.png> Thanks in advances for your hints. Best regards, Jiacong Huang --------------------------------------------------------------------------------------- Nanjing Institute of Geography & Limnology Chinese Academy of Sciences 73 East Beijing Road, Nanjing 210008, China Tel./Fax: +86-25-86882127 Homepage: http://www.escience.cn/people/elake/index.html -- View this message in context: http://matplotlib.1069221.n5.nabble.com/Visulization-of-orthogonal-grid-tp45473.html Sent from the matplotlib - users mailing list archive at Nabble.com.
Hello, I noticed that a Basemap instance yields 1e30 when projecting lat/lon NaN coordinates. In the following, nav is a pandas data frame with navigation coordinates: llcrnrlon=np.round(np.min(nav['longitude'])) llcrnrlat=np.round(np.min(nav['latitude'])) urcrnrlon=np.round(np.max(nav['longitude'])) urcrnrlat=np.round(np.max(nav['latitude'])) lat_0=(llcrnrlat + urcrnrlat) / 2 lon_0=(llcrnrlon + urcrnrlon) / 2 lat_1=llcrnrlat + ((urcrnrlat - llcrnrlat) / 6) lat_2=urcrnrlat - ((urcrnrlat - llcrnrlat) / 6) m=Basemap(projection="aea", lon_0=lon_0, lat_0=lat_0, lat_1=lat_1, lat_2=lat_2, width=6000000, height=5000000, resolution="h") x, y = m(nav['longitude'].values, nav['latitude'].values) Wherever the coordinates are NaN in the nav object, Basemap projects them to 1e30 in x and y. Is this a bug in my Debian sid python 2.7.9 version? Thanks, -- Seb
Thanks for giving this info on conference room <https://eventup.com/> updates. Well I hire a big hall for meeting and I always take care for everything in meetings. Hey do you know when it will be next meeting on financial planning? I would like to attend that. -- View this message in context: http://matplotlib.1069221.n5.nabble.com/SciPy-2015-Conference-Updates-LAST-CALL-for-talks-4-10-extension-John-Hunter-Plotting-Contest-regist-tp45326p45469.html Sent from the matplotlib - users mailing list archive at Nabble.com.
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.
I have the paths of the hexbins=hexbin.get_paths(), but I have generated my own counts within each of these hexbins. These counts are now in the array: "counts", that is of the same length as hexbin.get_paths(). Could someone please spell out (with lines of python code) an easy way so I can make a hexbin map for this using "matplotlib.pyplot.hexbin", with colorbar and colorbar label? with many thanks & happy labour day! - Sebastian
-------------------------------- Extended deadline: 15th May 2015 -------------------------------- EuroScipy 2015, the annual conference on Python in science will take place in Cambridge, UK on 26-30 August 2015. The conference features two days of tutorials followed by two days of scientific talks & posters and an extra day dedicated to developer sprints. It is the major event in Europe in the field of technical/scientific computing within the Python ecosystem. Data scientists, analysts, quants, PhD's, scientists and students from more than 20 countries attended the conference last year. The topics presented at EuroSciPy are very diverse, with a focus on advanced software engineering and original uses of Python and its scientific libraries, either in theoretical or experimental research, from both academia and the industry. Submissions for posters, talks & tutorials (beginner and advanced) are welcome on our website at http://www.euroscipy.org/2015/ Sprint proposals should be addressed directly to the organisation at eur...@py... Important dates =============== Mar 24, 2015 Call for talks, posters & tutorials Apr 30, 2015 Talk and tutorials submission deadline May 15, 2015 EXTENDED DEADLINE May 1, 2015 Registration opens May 30, 2015 Final program announced Jun 15, 2015 Early-bird registration ends Aug 26-27, 2015 Tutorials Aug 28-29, 2015 Main conference Aug 30, 2015 Sprints We look forward to an exciting conference and hope to see you in Cambridge The EuroSciPy 2015 Team - http://www.euroscipy.org/2015/
