Mailman 3 November 2018 - Matplotlib-users

(no subject)
by Xiaosong Zhu Nov. 27, 2018

Nov. 27, 2018

Hi Everyone! May I ask a question. Is it possible to plot the 3D iso-surface figures? Like the figures plotted by isosurface in MATLAB? https://www.mathworks.com/help/matlab/ref/isosurface.html Or like the 1st figure in https://en.wikipedia.org/wiki/Atomic_orbital. I need this because I would like to plot the configure of target molecular orbitals using the data calculated from first-principle calculation. I have looked through the examples of the website. There are only examples similar to this but not the same? Thanks very much! Sincerely, Xiaosong

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How to overcome the hatchings getting cut in contour plots?
by navajyoth814 Nov. 27, 2018

Nov. 27, 2018

<http://matplotlib.1069221.n5.nabble.com/file/t5196/Screenshot_20181127-1310…> I have been using hatchings (dots) on top of contour plots. Tjese dots are getting cut at some places. How do I get rid of this? Please have a look at the image to see the error. -- Sent from: http://matplotlib.1069221.n5.nabble.com/matplotlib-users-f3.html

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[REL] Matplotlib v3.0.1 and v3.0.2
by Thomas Caswell Nov. 11, 2018

Nov. 11, 2018

Folks, Happy to announce the second bug-fix release for the Matplotlib 3.0 series. REL: v3.0.2 This is the second bug-fix release for the v3.0 series. - Un-breaks basemap which was broken by partially restoring private APIs for cartopy. - Fixes bug in warning code when used in an embedded context. - Fixes crash when using Tk and closing the first open window before showing it - Many documentation improvements. - Restore a corner case on ColorBar tick usage. - Change the default behavior of `matplotlib.use` to silently allow more 'safe' switching after auto-discovery, but before starting an event loop. - Improvements to bounding box calculations. - Provide the correct length for RcParams instances. Wheels and packages on the conda-forge are available and the docs should be available (modulo caching issues). Thank you to everyone who worked on this! Tom -- Thomas Caswell tcaswell(a)gmail.com

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Re: [Matplotlib-users] Using Matplotlib nbagg for _repr_html_ for notebooks
by Juan Nunez-Iglesias Nov. 9, 2018

Nov. 9, 2018

Thanks Tom! My question is, would it be possible for the html to contain the interactive MPL figure, as returned by the notebook backend? There's also _repr_javascript_ it turns out. But yes, this is already great, I can use this for _repr_png_. I'm targeting 3.0+ so "new enough matplotlib" shouldn't be an issue. =) Juan. On Thu, Nov 8, 2018, at 11:16 AM, Thomas Caswell wrote: > Something like: > > ``` > from matplotlib.figure import Figure > from matplotlib.backends.backend_agg import FigureCanvas > > fig = Figure() > canvas = FigureCanvas(fig) # this step will be optional in mpl 3.1 (and current master) > > ax = fig.subplots() # assuming new enough matplotlib > ``` > > or one of the other backends. If you are doing this for a htmlrepr you likely want to also do > > ``` > output = BytesIO() > fig.savefig(output, format='png') > ``` > > to get the image as a buffer you can inject into the repr (or SVG?) > > Hope that helps! > > Tom > > On Wed, Nov 7, 2018 at 4:38 PM Juan Nunez-Iglesias <jni.soma(a)gmail.com> wrote: >> __ >> Hi, >> >> I'm working on a class to which I would like to add a _repr_html_ [1] method for display in Jupyter notebooks. Is there a way to generate a matplotlib notebook backend view "offline" (not using pyplot, since that will behave differently depending on the currently active backend), and then return the corresponding html? >> >> Thanks, >> >> Juan. >> >> .. [1]: https://ipython.readthedocs.io/en/stable/config/integrating.html#rich-displ… >> _______________________________________________ >> Matplotlib-users mailing list >> Matplotlib-users(a)python.org >> https://mail.python.org/mailman/listinfo/matplotlib-users > > > -- > Thomas Caswell > tcaswell(a)gmail.com

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Using Matplotlib nbagg for _repr_html_ for notebooks
by Juan Nunez-Iglesias Nov. 7, 2018

Nov. 7, 2018

Hi, I'm working on a class to which I would like to add a _repr_html_ [1] method for display in Jupyter notebooks. Is there a way to generate a matplotlib notebook backend view "offline" (not using pyplot, since that will behave differently depending on the currently active backend), and then return the corresponding html? Thanks, Juan. .. [1]: https://ipython.readthedocs.io/en/stable/config/integrating.html#rich-displ…

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latex with graphical backend and svg savefig
by edgar＠openmail.cc Nov. 4, 2018

Nov. 4, 2018

Hello, 1. I want to report a possible issue (I don't want an account on GitHub... Micro$hit): texmanager.py has @ line 251: if rcParams['text.latex.unicode']: unicode_preamble = r""" \usepackage[utf8]{inputenc}""" else: unicode_preamble = '' @ line 299: if rcParams['text.latex.unicode']: fh.write(s.encode('utf8')) Due to font conflicts in my system [1], I need \usepackage{lmodern} \usepackage[QX]{fontenc} (I tried with DejaVu Sans, without success). Adding it to the rcParams in the text.latex.preamble does not help, because inputenc clashes with that. In another computer, if I disable text.latex.unicode , Matplotlib tries to use ASCII, which creates an error. I suggest that the first conditional is removed (since text.latex.unicode is depreceated anyway), but I don't know how the unicode characters are going to be handled once that depreciation happens (second conditional). Again, I didn't get that issue (ASCII) with Parabola. 2. I want a SVG and to be able to show the figure on screen (possibly save it from the new window). How can I achieve that? This [2] didn't work. ! Font TS1/cmr/m/it/16=tcti1728 at 17.28pt not loadable: Metric (TFM) file not found. <to be read again> relax l.14 ...0000}{\rmfamily \textit{Velocity (°/sec)} } My failed attempt is below [3] I tried to make this clear, but let me know if something needs clarification. Thanks! My system: Parabola GNU/Linux pdfTeX, Version 3.14159265-2.6-1.40.18 (TeX Live 2017/Debian) matplotlib._version.get_versions() {'dirty': False, 'error': None, 'full-revisionid': '682e5195fae83393a75c71e84d1434cc9ff255fb', 'version': '3.0.1'} (installed with pip) [1] https://wiki.parabola.nu/TeXLive [2] https://matplotlib.org/gallery/text_labels_and_annotations/tex_demo.html#sp… [3] import matplotlib as mpl from matplotlib import pyplot as pl # https://tex.stackexchange.com/a/391078 # https://3diagramsperpage.wordpress.com/category/matplotlib/ family = "DejaVu Sans" serif, sans_serif, mono = [family] * 3 size = 14 labelsize = 12 legfontsize = 10 ticksize = 10 pgf_with_latex = { # setup matplotlib to use latex for output "text.usetex": True, # use LaTeX to write all text # "text.latex.unicode": True, # https://github.com/MaxNoe/python-plotting/blob/master/source/siunitx_ticks.… "font.family": family, "font.serif": serif, # blank entries should cause plots "font.sans-serif": sans_serif, # to inherit fonts from the document "font.monospace": mono, # LaTeX default is 10pt font. "axes.labelsize": labelsize, "font.size": size, "legend.fontsize": legfontsize, # Make the legend/label fonts "xtick.labelsize": ticksize, # a little smaller "ytick.labelsize": ticksize, "text.latex.preamble": [ # plots will be generated using this preamble # r"\usepackage[utf8x]{inputenc}", # use utf8 fonts r"\usepackage{lmodern} \usepackage[QX]{fontenc}", r"\usepackage[detect-all]{siunitx}", ] } mpl.rcParams.update(pgf_with_latex) pl.plot([1e-6, 2e-6], label=r"μ") pl.legend() pl.show() ------------------------------------------------- ONLY AT VFEmail! - Use our Metadata Mitigator to keep your email out of the NSA's hands! $24.95 ONETIME Lifetime accounts with Privacy Features! 15GB disk! No bandwidth quotas! Commercial and Bulk Mail Options!

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