Mailman 3 June 2020 - Matplotlib-users

How to close plot window in interactive mode?
by Gilles Allard July 1, 2020

July 1, 2020

Hi! I'm searching for a way to close (programmatically) a plot window in interactive mode. What is the best way?

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subplots and xticklabels
by Kees Serier June 26, 2020

June 26, 2020

Hi, I have been making some graphs with multiple curves with Python 3.7.5 and Matplotlib 3.0.2. Now I want to plot 4 curves in 3 graphs with subplot. This works and the 3 graphs are plotted correctly, including the legends. Only I can't get my X values printed, like I did in my previous graphs with: labels = ax.get_xticklabels() plt.setp(labels, fontsize=6, rotation = 90.) My script is like: ax = plt.axes() name_list = tuple(X) pos_list = np.arange(len(name_list)) ax.xaxis.set_major_locator(ticker.FixedLocator((pos_list))) ax.xaxis.set_major_formatter(ticker.FixedFormatter((name_list))) grid_size = (3,1) fig = plt.figure() plt.subplot2grid(grid_size, (0, 0), rowspan = 1, colspan = 1) plt.plot(pos_list, value_list[0], label = "r/s") plt.plot(pos_list, value_list[1], label = "w/s") plt.title(plt_title) plt.legend(loc = 'lower left', fontsize=6) plt.grid(True) #plt.setp(labels, visible=False) # does not work plt.subplot2grid(grid_size, (1, 0), rowspan = 1, colspan = 1) plt.plot(pos_list, value_list[2], label = "blks/s (kB)") plt.legend(loc = 'lower left', fontsize=6) plt.grid(True) #plt.setp(labels, visible=False) # does not work plt.subplot2grid(grid_size, (2, 0), rowspan = 1, colspan = 1) plt.plot(pos_list, value_list[3], label = "avser (ms)") plt.legend(loc = 'lower left', fontsize=6) labels = ax.get_xticklabels() plt.setp(labels, fontsize=6, rotation = 90.) fig.subplots_adjust(hspace=0) plt.grid(True) plt.show() I have tried a lot of things, but can't get it working. Thank you in advance, Kees

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Third Y axis is like cryptonite to pyplot.
by Andre June 26, 2020

June 26, 2020

I modified https://matplotlib.org/3.2.1/gallery/ticks_and_spines/multiple_yaxis_with_s… to have a fourth data-set: https://gist.github.com/AndKe/c0c999a22a8daebafb62171b671bf131 With the offset of "1.35" par3.spines["right"].set_position(("axes", 1.35)) One can get a glimpse of that, any less, and it will overlap, and more it will be invisible. changing "right" to "left" does nothing. Also, the resulting spines placement does vary with the width of the window. - wasting more space the wider the window gets. -- Sent from: http://matplotlib.1069221.n5.nabble.com/matplotlib-users-f3.html

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Logarithmic scale in 3D surface
by Hedy BOUJELBEN June 26, 2020

June 26, 2020

Hello, I'm mechanical student and i'm using python for a project I don't find the logarithmic scale in python for 3D graphs can you help me please ?

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Cycler License
by Soheil Saifipour June 26, 2020

June 26, 2020

Dear Thomas I'm working for an organisation as a DevOp engineer. Our data-science team use Cycler library: https://pypi.org/project/Cycler/0.10.0/ I would like to know the exact license type for Cycler library: https://github.com/matplotlib/cycler/blob/master/LICENSE Is this a BSD-3 or BSD-2 library? I would appreciate it if you could help me with this. Kind regards, Soheil

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Question about ylims
by John Doucette June 26, 2020

June 26, 2020

I am trying to make a 2 x 2 figure with covid-19 graphs Upper left = cases Upper right = cumulative cases Lower left = deaths Lower right = cumulative deaths I have been having trouble with ylims. It appears that if I set a ylim it is applied to all four frames. I have been searching duckduckgo for hour including the matplotlib gallery and every set of multiple frame plots has the same ylim on every frame. I need different ylims for each individual frame. Is this even possible?

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[ANN] Matplotlib 3.3.0 release candidate 1
by Elliott Sales de Andrade June 19, 2020

June 19, 2020

Hi all, We are pleased to announce the issue of the first release candidate for 3.3.0. Please test widely so that we may correct any bugs before the final release. Pre-built wheels are available for most major platforms, and can be installed using `pip install matplotlib==3.3.0rc1`. Other packages may also be available already; please check with your preferred source. The 3.3.0 release represents the work of 150 authors over 992 pull requests, and we thank them for their contributions. Some highlights of this release include: * Adds provisional API for composing semantic axes layouts from text or nested lists. For a detailed tutorial, see https://matplotlib.org/3.3.0/tutorials/provisional/mosaic.html * Adds Turbo colormap, a spectral map (purple-blue-green-yellow-orange-red) with a bright center and darker endpoints, and is a smoother alternative to jet. See https://ai.googleblog.com/2019/08/turbo-improved-rainbow-colormap-for.html * Adds axline, a method for drawing infinite lines. * Axes3D supports minor ticks, view navigation buttons, and an improved aspect ratio. * Dates now use a modern epoch, enabling improved precision for recent dates. * Tick formatters now accept str or function inputs. * The pcolor and pcolormesh methods now accept shading='nearest' and 'auto'. * The alignment of titles and Axis labels can now be controlled more precisely. * The text color for legend labels can now be set, either as a whole, or individually based on the corresponding item. * Improved support for metadata when saving SVG or PDF. * Improved interactive tools and toolbar in various backends. For further details, please see the What's new in Matplotlib 3.3.0 page: https://matplotlib.org/3.3.0/users/whats_new.html and the milestone on GitHub: https://github.com/matplotlib/matplotlib/milestone/48?closed=1 For packagers, this release contains some changes to dependencies: * Pillow is now required. * jQuery and jQuery-UI are no longer used, nor downloaded as part of the build. * Compiled extensions are built with LTO if the compiler supports it. This release is signed by my GPG key. The fingerprint is: 23CA B59E 3332 F94D 26BE F037 8D86 E7FA E5EB 0C10 and it is also used to sign this message.

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hanging after import of pyplot
by Slavin, Jonathan June 19, 2020

June 19, 2020

Hi all, I've had this strange behavior occur, now for the second time, that I'm hoping someone can help me diagnose. What happens is that if I import pyplot, e.g. like import matplotlib.pyplot as plt the prompt becomes completely unresponsive. I can't even get out of it by ctrl-C or ctrl-Z. I have to actually kill the process. This happens in all my environments (which includes python 2.7, 3.6 and 3.7 and anaconda 2 and anaconda 3). Last time this happened it resolved itself somehow by itself. Because it happens with different versions of python, ipython, and matplotlib, I'm thinking that it must have to do with the backend. Any help would be appreciated. Thanks, Jon -- Jonathan D. Slavin Astrophysicist - High Energy Astrophysics Division Center for Astrophysics | Harvard & Smithsonian Office: (617) 496-7981 | Cell: (781) 363-0035 60 Garden Street | MS 83 | Cambridge, MA 02138

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[ANN] Matplotlib 3.2.2 release
by Elliott Sales de Andrade June 19, 2020

June 19, 2020

Hi all, Matplotlib 3.2.2 was released yesterday. This is the second bugfix release of the 3.2.x series. This release contains several critical bug-fixes: - support fractional HiDPI scaling with Qt backends - support new Python and fix syntax errors in legacy Python - support new Qt 5 and fix support for Qt 4 - fix animation writer fallback - fix figure resizing - fix handling of large arcs - fix issues with tight layout - fix saving figures after closing windows or under certain size conditions - fix scatter when specifying a single color - fix several memory leaks - fix unexpected autoscaling behavior - fix various issues with usetex - various minor bug and documentation fixes As a reminder, this was signed by my GPG key. The fingerprint is: 23CA B59E 3332 F94D 26BE F037 8D86 E7FA E5EB 0C10 and it is also used to sign this message.

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host_subplot figure argument
by Neal Becker June 11, 2020

June 11, 2020

I tried to use host_subplot with a figure argument. Why does this fail? ------------------------ import matplotlib.pyplot as plt fig,ax = plt.subplots() host = host_subplot(figure=fig) ------------------------ ValueError: Illegal argument(s) to subplot: ()

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