Mailman 3 March 2016 - Matplotlib-users

Re: [Matplotlib-users] New matplotlib book: Mastering matplotlib
by jungleb77 April 18, 2016

April 18, 2016

Hi Duncan, I just bought your book, I'm excited to get through it. I'm wondering if the 'make' commands are supposed to work in OS X? I tried following the examples in the first couple of chapters and the make errors out with some files not found. Any ideas? thanks again, John Brodie -- View this message in context: http://matplotlib.1069221.n5.nabble.com/New-matplotlib-book-Mastering-matpl… Sent from the matplotlib - users mailing list archive at Nabble.com.

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perspective
by Eric Gayer April 17, 2016

April 17, 2016

Hi all, I am not sure this is the right place for my question, but I don’t really know where to ask… I would like to know if there is a chance for matplolib to provide the same 3D plot perspective as the perp() function in R or from the plot3D package from Karline Soetaert (based on persp()) in R http://www.r-bloggers.com/creating-surface-plots/ <http://www.r-bloggers.com/creating-surface-plots/> http://www.r-bloggers.com/3d-plots-in-r/ I found nothing on how to change perspective aspect in mplot3d. I am afraid it is not possible to work on the depth of the perspective in a mplot3d plot, is anyone knows how to do it ? Does anyone think it would be possible in a near future ? Thanks Eric

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by glory ghazr March 31, 2016

March 31, 2016

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having a 3d plot making a 2d plot
by Martin Hofsäß March 31, 2016

March 31, 2016

Hi all, i having a 3d plot and need only a view of the x-y plane. Is there a simple approach to get a nice looking 2d view of the 3d plot? Regards, Martin

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plt.hexbin underlying algorithm
by empet March 30, 2016

March 30, 2016

Hi all, Recently I experimented how plt.hexbin works. I read a little bit about the history of this method of binning, and I'm curious how it was implemented in matplotlib. Could someone, please, point out where in /site-packages/matplotlib is implemented the construction of the prototypical hexagon returned by: plt.hexbin(x, y, gridsize=25, cmap=my_cmap, mincnt=1).get_paths() as well as the computation of the PolyCollection offsets? I ran my code in a Jupyter notebook and noticed that if I don't set %matplotlib inline, then the PolyCollection instance HB=plt.hexbin(x, y, gridsize=25, cmap=my_cmap, mincnt=1) has only one facecolor initialized, i.e. len(Hb.get_facecolors())=1, while len(HB.get_offsets())=300. Is there a posibility to generate the facecolors without effective plotting of the hexbin object? Thanks, Em -- View this message in context: http://matplotlib.1069221.n5.nabble.com/plt-hexbin-underlying-algorithm-tp4… Sent from the matplotlib - users mailing list archive at Nabble.com.

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point right on axis limit not very visible
by Neal Becker March 30, 2016

March 30, 2016

I have a couple of semilogy line plots, with markers. One line has only 1 point, just the marker. It is right on the left vertical axis and is not very visible. It would be better if the xaxis limit was set a bit lower so the point marker was more visible (and not clipped). What's a good way to do this that hopefully doesn't involve a lot of manual tweaking?

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Line plot ending with arrow-head
by Benjamin Trendelkamp-Schroer March 29, 2016

March 29, 2016

Hello, my problem is the following: I want to plot an arrow-head onto the end of a line plot. So far I have been able to devise the following solution, which I find to be unsatisfactory. Minimal working example below. >>>import numpy as np >>>import matplotlib.pyplot as plt >>>x = np.linspace(0.5, 1.0, 50) >>>y = x**2 >>>fig = plt.figure(0) >>>ax = fig.add_subplot(111) >>>ax.plot(x[:-1], y[:-1], c='k') >>>ax.arrow(x[-2], y[-2], x[-1]-x[-2], y[-1]-y[-2], fc='k', ec='k) >>>plt.show() But the thickness of the tail of the arrow and the thickness of the line are not matching and I do not know which parameters I would need to tune in order to get a visual appealing match. I have looked into matplotlib.patches.FancyArrowPatch, but it was not clear to me how I can use it to add the arrowhead to the line plot. Unfortunately, I am not too familiar with the whole matplotlib object-structure so that it is likely that I have overlooked something that will make this relatively straightforward to achieve. Any suggestions would be very helpful. Thanks, Benjamin

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issues about the transform of AnnotationBbox
by 凤博 March 27, 2016

March 27, 2016

Hi, I am an user of matplotlib. AnnotationBbox has an API called "set_transform". However, when I use this API and set the rotation of AnnotationBbox, the AnnotationBbox is not transformed. My question is that whether this API is ignored by matplotlib. thanks 发自我的 iPad

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What changes from matplotlib 1.3.1 to matplotlib 1.5.1 break the following code?
by Jacob Barhak March 24, 2016

March 24, 2016

Greetings, Are there specific new changes in matplotlib 1.5.1 that break previous code? Below is a script that works nicely with matplotlib 1.3.1 and breaks on matplotlib 1.5.1 that comes with the new anaconda on Windows. I am trying to decide if a downgrade of the matplotlib version is the best solution or is there another simple fix that will make the code work again? Note that this is code generated by the MIST system test code, so do not look for logical output - the current goal is just to pass the test by not breaking on any commands. I will appreciate your insight. Jacob ############# Code that Breaks with 1.5.1 ############## from __future__ import division import matplotlib matplotlib.use('PDF') import matplotlib.pyplot as plt import matplotlib.font_manager import matplotlib.backends.backend_pdf import DataDef as DB Inf = DB.Inf NaN = DB.NaN inf = DB.inf nan = DB.nan HandlePDF = matplotlib.backends.backend_pdf.PdfPages('Temp\SelectedAssembledPlots.pdf') HandleFigure = plt.figure() HandleAxes = HandleFigure.add_subplot(111) DefaultLegendFontSize = matplotlib.font_manager.FontProperties(size=matplotlib.rcParams['legend.fontsize']).get_size_in_points() # New plot sequence HandleAxes.clear() HandleAxes.clear() HandleAxes.set_title('Age - Avg All') HandleAxes.set_xlabel('Time') HandleAxes.plot( [0, 0, 0, 0, 1, 1, 1, 1, 2, 2, 2, 2, 3, 3, 3, 3] ,[None, 30.0, None, 30.0, None, 31.0, None, 31.0, 32.0, 32.0, 32.0, 32.0, 33.0, 33.0, 33.0, 33.0], 'ko-' , label = 'File 1') HandleAxes.plot( [] ,[], 'k:' , label = 'File 2') HandleSmallerFont = matplotlib.font_manager.FontProperties(size= DefaultLegendFontSize*1.0 ) LineHandles, LabelHandles = HandleAxes.get_legend_handles_labels() TheLegend = HandleAxes.legend(LineHandles, LabelHandles, 0, prop = HandleSmallerFont, handlelength = 2.0/1.0) TheLegend.get_frame().set_alpha(0.5) HandlePDF.savefig(HandleFigure) HandleAxes.clear() HandleAxes.set_title("""Create Plots Warning: No parameter entry : ('Alive', 'Avg All', '')""") HandlePDF.savefig(HandleFigure) HandleAxes.clear() HandleAxes.set_title(' - Rec Count') HandleAxes.set_xlabel('Time') HandleAxes.plot( [0, 0, 0, 0, 1, 1, 1, 1, 2, 2, 2, 2, 3, 3, 3, 3] ,[None, 900, None, 1000, None, 900, None, 900, 63, 835, 772, 835, 61, 772, 711, 772], 'ko-' , label = 'File 1') HandleAxes.plot( [] ,[], 'k:' , label = 'File 2') HandleSmallerFont = matplotlib.font_manager.FontProperties(size= DefaultLegendFontSize*1.0 ) LineHandles, LabelHandles = HandleAxes.get_legend_handles_labels() TheLegend = HandleAxes.legend(LineHandles, LabelHandles, 0, prop = HandleSmallerFont, handlelength = 2.0/1.0) TheLegend.get_frame().set_alpha(0.5) HandlePDF.savefig(HandleFigure) # New plot sequence HandleAxes.clear() HandleAxes.set_title("""Create Plots Warning: No parameter entry : ('Alive', 'Avg All', '')""") HandlePDF.savefig(HandleFigure) HandleAxes.plot( [None, 30.0, None, 30.0, None, 31.0, None, 31.0, 32.0, 32.0, 32.0, 32.0, 33.0, 33.0, 33.0, 33.0] ,[None, 900, None, 1000, None, 900, None, 900, 63, 835, 772, 835, 61, 772, 711, 772], 'ko-' , label = 'File 1 - nested record count') HandleAxes.plot( [] ,[], 'k:' , label = 'File 2 - nested record count') HandleSmallerFont = matplotlib.font_manager.FontProperties(size= DefaultLegendFontSize*0.714285714286 ) LineHandles, LabelHandles = HandleAxes.get_legend_handles_labels() TheLegend = HandleAxes.legend(LineHandles, LabelHandles, 0, prop = HandleSmallerFont, handlelength = 2.0/0.714285714286) TheLegend.get_frame().set_alpha(0.5) HandlePDF.savefig(HandleFigure) HandleAxes.clear() HandleAxes.set_title("""Create Plots Warning: No parameter entry : ('AnError', 'Avg All', '')""") HandlePDF.savefig(HandleFigure) HandleAxes.clear() HandleAxes.set_title("""Create Plots Warning: No parameter entry : ('Alive', 'AlsoAnError', '')""") HandlePDF.savefig(HandleFigure) HandlePDF.close()

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Struggle with ticker.SymmetricalLogLocator()
by superchinchilla March 19, 2016

March 19, 2016

Hi, I want to make a symmetric logarithmic plot, but unfortunately the y-values are overlapping around 0. I don't want to display the first values around 0. I'm not sure how to use the ticker.SymmetricalLogLocator command to change the ticklocations or the tickfrequencies. I searched for a long time but didn't find any proper solution for it besides the examples for the normal Loglocater which didn't work. I tried to understand how the ticker.SymmetricalLogLocator(transform, subs=None) instance is working on the matplotlib documentation side which is not an easy target for me. I only want that the first ticklabes around zero are not displayed in my plot. I'm using the plt.yscale('symlog') command in order to plot it symmetrically around zero. My picture looks like <http://matplotlib.1069221.n5.nabble.com/file/n46753/heat1_raten1.png> Sorry for my bad English, thanx for any help in advance -- View this message in context: http://matplotlib.1069221.n5.nabble.com/Struggle-with-ticker-SymmetricalLog… Sent from the matplotlib - users mailing list archive at Nabble.com.

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