Mailman 3 - Matplotlib-devel

Recent spam
by Thomas Caswell July 28, 2025

July 28, 2025

Folks, I apologize for the recent waves of spam. I've moved the list to require moderation review before letting new email addresses join either matplotlib-user or matplotlib-devel. Tom -- Thomas Caswell tcaswell(a)gmail.com

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Considering changes to code of conduct response
by Hannah June 11, 2025

June 11, 2025

Hello all, NumFocus (the Matplotlib fiscal sponser) has adopted a new code of conduct and is standing up a CoC working group and response process. Matplotlib can opt-in to the NumFocus CoC and response process in March 2025, which would replace our current CoC and response process. There will be an informational session lead by NumFOCUS Tuesday, March 4th, 8:00 - 9:00 am PST / 16:00 - 17:00 UTC (zoom link <https://numfocus-org.zoom.us/j/87592551095?pwd=Kcabspakme5pNm3omCvgGP1aAMbC…>) for anyone interested. For more details, please see https://discourse.matplotlib.org/t/considering-changes-to-code-of-conduct-r… Please also share your feedback on this change at the discourse link. Thank you, Hannah

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[ANN] Matplotlib 3.10.1
by contact＠ksunden.space March 3, 2025

March 3, 2025

Hi all, We are pleased to announce the release of Matplotlib 3.10.1 This is the first bugfix release of the 3.10.x series. This release contains several bug-fixes and adjustments: Respect array alpha with interpolation_stage='rgba' in _Imagebase::_make_image Remove md5 usage to prevent issues on FIPS enabled systems Fix pyplot.matshow figure handling Fix modifying Axes' position also alters the original Bbox object used for initialization Fix title position for polar plots Add version gate to GTK4 calls when necessary Raise warning if both c and facecolors are used in scatter plot As well as several documentation improvements and corrections. For further details, please see the Release notes for Matplotlib 3.10.1: https://matplotlib.org/3.10.1/users/release_notes.html#version-3-10 and the milestone on GitHub: https://github.com/matplotlib/matplotlib/milestone/98?closed=1 --- Kyle Sunden Matplotlib RSE

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GSOC Mentorship
by Hannah Feb. 6, 2025

Feb. 6, 2025

Hello folks, We are in dire need of GSOC mentors this year and have to let numfocus know by February 10th If anything on the project list piques your interest ( https://hackmd.io/@matplotlib/projectslist) or there's a long standing project you'd like to mentor, please let me know. Being a mentor typically averages out to about 8-10hrs/wk of work: * a weekly or biweekly 1-2 hr check-in meeting * reviewing mentees PRs * being available on chat to answer the mentees questions * filling out two status reports for google Mentoring is always done with at least one other mentor, in this situation likely me, and you are welcome to limit your scope to just technical questions. If you are interested, please let me know. SIncerely, Hannah

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Matplotlib 3.10.0 Release
by contact＠ksunden.space Dec. 20, 2024

Dec. 20, 2024

Hi all, We are pleased to announce the release of 3.10.0. This is the first release of the 3.10.x series. Pre-built wheels are available for most major platforms, and can be installed using `pip install matplotlib==3.10.0`. Other packages may also be available already; please check with your preferred source. We thank the 128 authors for the 337 pull requests that comprise the 3.10.0 release. Highlights of this release include: - Preliminary support for free-threaded CPython 3.13 - New more-accessible color cycle - Dark-mode diverging colormaps - Exception handling control - InsetIndicator artist - FillBetweenPolyCollection - Fill between 3D lines - Data in 3D plots can now be dynamically clipped to the axes view limits - Rotating 3d plots with the mouse - Increased Figure limits with Agg renderer - Subfigures no longer provisional - Subfigures are now added in row-major order Please see the milestone on GitHub for more details: https://github.com/matplotlib/matplotlib/milestone/84?closed=1 This release is the third to have published attestations on both GitHub and PyPI. At this time, the infrastructure issue that affect 3.9.3 appears to be fixed, so attestations should be available for all wheels and the sdist. -- Kyle Sunden

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[ANN] Matplotlib 3.9.4
by Elliott Sales de Andrade Dec. 14, 2024

Dec. 14, 2024

Hi all, We are pleased to announce the release of 3.9.4. This is the fourth (and final planned) bugfix release of the 3.9.x series. Pre-built wheels are available for most major platforms, and can be installed using `pip install matplotlib==3.9.4`. Other packages may also be available already; please check with your preferred source. We thank the 3 authors for the 3 pull requests that comprise the 3.9.4 release. This release contains two bug-fixes and adjustments: * Fix toolbar icons in GTK backend * Fix Poly3DCollection initialization with list of lists As this release is mostly a packaging fix for the toolbar icons, and the 3.10 release is imminent, I did not build new docs for 3.9.4. Please see the milestone on GitHub for more details: https://github.com/matplotlib/matplotlib/milestone/95?closed=1 This release is the second to have published attestations on both GitHub and PyPI. At this time, the infrastructure issue that affect 3.9.3 appears to be fixed, so attestations should be available for all wheels and the sdist. -- Elliott

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[ANN] Matplotlib 3.9.3
by Elliott Sales de Andrade Dec. 7, 2024

Dec. 7, 2024

Hi all, Apologies for the delay in these release announcements. We are pleased to announce the release of 3.9.3 (and 3.9.2, below). This is the third bugfix release of the 3.9.x series. Pre-built wheels are available for most major platforms, and can be installed using `pip install matplotlib==3.9.3`. Other packages may also be available already; please check with your preferred source. We thank the 18 authors for the 62 pull requests that comprise the 3.9.3 release. This release contains several bug-fixes and adjustments: * Fix |axline| with extremely small slopes * Fix |axline| with non-linear axis scales * Fix |minimumSizeHint| with Qt backend * Fix config directory usage when it's behind a symlink * Fix draggable legend when blitting is enabled * Fix high CPU utilization in the |macosx| backend * Fix multiple hatch |edgecolors| passed to |contourf| * Improve compatibility with |pytest| 8.2.0 For further details, please see the Release notes for Matplotlib 3.9.3: https://matplotlib.org/3.9.3/users/release_notes.html#version-3-9 and the milestone on GitHub: https://github.com/matplotlib/matplotlib/milestone/95?closed=1 This release is the first to have published attestations on both GitHub and PyPI. Unfortunately, due to an infrastructure issue, attestations for PyPy wheels and the sdist are not available on PyPI, though those for all CPython wheels are available. For those that need them, alternative attestations are available from GitHub: https://github.com/matplotlib/matplotlib/attestations We hope that said infrastructure issues will be fixed for the 3.10.0 release. The following are the release notes for 3.9.2: * Be more resilient to I/O failures when writing font cache * Fix nondeterministic behavior with subplot spacing and constrained layout * Fix sticky edge tolerance relative to data range * Improve formatting of image values in cases of singular norms Windows wheels now bundle the MSVC runtime DLL statically to avoid inconsistencies with other wheels and random crashes depending on import order. For further details, please see the Release notes for Matplotlib 3.9.2: https://matplotlib.org/3.9.2/users/release_notes.html#version-3-9 and the milestone on GitHub: https://github.com/matplotlib/matplotlib/milestone/93?closed=1 -- Elliott

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[PyCon KR] Request for a Congratulatory Video for PyCon Korea's 10th Anniversary
by 박성민 July 8, 2024

July 8, 2024

Hello, This is the Session Team from PyCon Korea Organizing Team. PyCon Korea is celebrating its 10th anniversary this year, and we are preparing a special video to mark this milestone. In this regard, we would be honored to include a congratulatory message from you, as you have been a significant source of inspiration within the Python community. Your congratulatory message would be deeply meaningful and inspirational to the many people who have been part of PyCon Korea's history. If possible, we would greatly appreciate it if you could record a short video of about 5-10 minutes, including the following points: - A brief self-introduction and congratulations on PyCon Korea's 10th anniversary - Examples of how you have utilized Python - Your opinions on Python/the ecosystem (impact, interest, affection, etc.) - Personal experiences/impressive event content/what you hope for the event - Your thoughts on the future or strategies for industries utilizing Python - Closing remarks - Any additional comments you would like to add - Guide Link : https://docs.google.com/presentation/d/1_NIQkthjn0OWqrYT31F4CfgC5m1UopBD1GD… Please refer to the submission deadline and format below and reply to this email with your video. If you have any questions, please feel free to contact us at any time. - Submission deadline: 23:59:59 (KST), August 15, 2024 - Submission format: .mp4 or .mov (HEVC, H.265, or H.264) - Additional Information/Script: If you think that it contains information that is technical or should not be misunderstood, please attach explanatory text or script files on the email. Thank you very much for taking the time out of your busy schedule. We look forward to your congratulatory message making PyCon Korea's 10th anniversary even more special. Thank you. Best regards, PyCon Korea Organizing Team

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[ANN] Matplotlib 3.9.1
by Elliott Sales de Andrade July 6, 2024

July 6, 2024

Hi all, We are pleased to announce the release of 3.9.1. This is the first bug fix release of the 3.9.x series. Pre-built wheels are available for most major platforms, and can be installed using `pip install matplotlib==3.9.1`. Other packages may also be available already; please check with your preferred source. We thank the 29 authors for the 111 pull requests that comprise the 3.9.1 release. This release contains several bug-fixes and adjustments: * Add GitHub artifact attestations for sdist and wheels * Re-add |matplotlib.cm.get_cmap|; note this function will still be removed at a later date * Allow duplicate backend entry points * Fix |Axes| autoscaling of thin bars at large locations * Fix |Axes| autoscaling with |axhspan| / |axvspan| * Fix |Axes3D| autoscaling of |Line3DCollection| / |Poly3DCollection| * Fix |Axes3D| mouse interactivity with non-default roll angle * Fix box aspect ratios in |Axes3D| with alternate vertical axis * Fix case handling of backends specified as |module://...| * Fix crash with TkAgg on Windows with |tk.window_focus: True| * Fix interactive update of SubFigures * Fix interactivity when using the IPython console * Fix pickling of AxesWidgets and SubFigures * Fix scaling on GTK3Cairo / GTK4Cairo backends * Fix text wrapping within SubFigures * Promote |mpltype| Sphinx role to a public extension; note this is only intended for development reasons For further details, please see the Release notes for Matplotlib 3.9.1: https://matplotlib.org/3.9.1/users/release_notes.html#version-3-9 and the milestone on GitHub: https://github.com/matplotlib/matplotlib/milestone/82?closed=1 -- Elliott

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To stretch out a plot along the horizontal or vertical direction
by Frère Justin - Jérusalem May 25, 2024

May 25, 2024

Hello, I'm struggling to stretch out a plot *along the horizontal direction only*. I have scaled it, that I know, but it gets displayed only in a white square window embedded in the whole canvas. Here is an attached snapshot. I've tried a number of things (figsize, layout constrained, rcParams and others) but they only enlarge the whole display window, not the plot within the window itself. In stackoverflow forum no one knows. My OS is Windows 10. I would appreciate if you could tell me what to do (in case you need, I attach my script) Fernando # 3D DELAUNAY TRIANGULATION OF AN UNSTRUCTURED-GRID DATAFILE import numpy as npimport matplotlib.tri as mtrifrom mpl_toolkits.mplot3d import Axes3Dimport matplotlib.pyplot as pltwith open('../gnuplot/bin/datos.txt', 'r') as f: lines = f.readlines() x, y, z = np.genfromtxt("../gnuplot/bin/datos.txt", unpack=True) fig = plt.figure() ax = fig.add_subplot(1,1,1) ax.scatter(x, y, marker=".", c="#DC143C", edgecolors="black", s=100) ax.set_xlabel('X') ax.set_ylabel('Y') triang = mtri.Triangulation(x, y) fig = plt.figure() ax = fig.add_subplot(1,1,1) ax.triplot(triang, c="#D3D3D3", marker='.', markerfacecolor="#DC143C", markeredgecolor="black", markersize=5) ax.set_xlabel('X') ax.set_ylabel('Y') isBad = np.where((x<-1) | (x>7) | (y<12) | (y>88), True, False) mask = np.any(isBad[triang.triangles],axis=1) triang.set_mask(mask) fig = plt.figure() ax = fig.add_subplot(1,1,1) ax.triplot(triang, c="#D3D3D3", marker='.', markerfacecolor="#DC143C", markeredgecolor="black", markersize=5) ax.set_xlabel('X') ax.set_ylabel('Y') fig, ax = plt.subplots(subplot_kw={'projection':'3d'}, facecolor='lightgray') fig.subplots_adjust(bottom=0, left=-0.15, top=1, right=0.56) ax.get_proj = lambda: np.dot(Axes3D.get_proj(ax), np.diag([2.0, 2.0, 1.0, 1]))#fig.patch.set_alpha(0.0) THIS JUST CHANGES THE COLOR OF THE BORDER TO WHITE ax.plot_trisurf(triang, z, cmap='jet') ax.scatter(x,y,z, marker='.', s=10, c="black", alpha=0.5) ax.view_init(elev=30, azim=-45) ax.set_xlabel('X') ax.set_ylabel('Y') ax.set_zlabel('Z') # plt.savefig('image.png', bbox_inches='tight', pad_inches=0) THIS DOESN'T WORK plt.show()

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