Mailman 3 August 2021 - SciPy-User

How to display a RGB image (MFISH)?
by jp 03 Apr '23

03 Apr '23

Hi, I have written a script to try to combine five images into a three channels RGB images<http://dip4fish.blogspot.com/2011/05/trying-to-combine-mfish-images-into-rg…> . The resulting RGB image looks like a grey scale image instead of a color one. I have three np.array Rnorm, Gnorm, Bnorm which are copied into a rgb array: *rgb = np.zeros((shape[0],shape[1],3),dtype=float) mxr=np.max(R) mxg=np.max(G) mxb=np.max(B) Rnorm=np.uint8((255*(R/mxr)))Gnorm=np.uint8((255*(R/mxg)))Bnorm=np.uint8((255*(R/mxb)))#copy each RGB component in an RGB array rgb[:,:,0]=Rnorm rgb[:,:,1]=Gnorm rgb[:,:,2]=Bnorm* *pylab.subplot(224, aspect='equal',frameon=False, xticks=[], yticks=[]) pylab.imshow(rgb) pylab.show()* Any advice? Thank you Jean-Patrick

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Invitation to connect on LinkedIn
by Jelle Feringa via LinkedIn 28 Jul '22

28 Jul '22

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Help required regding Eigenvectors
by Sudheer Phani 14 Mar '22

14 Mar '22

Hello All, I have been encountering some strange problems with the calculation of eigen vectors using python. The problem is with the sign of the eigen vectors calculated. On Very few occasions the eigen vectors calculated using python have an opposite sign than the actual eigenvectors, though the magnitude is correct. Can any one of you plz help me in this regard and suggest me some solution if you have encoutered similar problems . Any help in this regd is appreciated Thanks in Advace regds Sudheer

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ANN: Astropy v4.3 and v4.0.6 released
by Erik Tollerud 24 Aug '21

24 Aug '21

Dear colleagues, We are very happy to announce the v4.3 release of the Astropy package, a core Python package for Astronomy: http://www.astropy.org Astropy is a community-driven Python package intended to contain much of the core functionality and common tools needed for astronomy and astrophysics. It is part of the Astropy Project, which aims to foster an ecosystem of interoperable astronomy packages for Python. New and improved major functionality in this release includes: * Transformations to AltAz are now much more precise (and faster) * Improvements in making Astropy thread-safe * Performance improvements to sigma clipping * Changes in the Time and IERS leap second handling * Support for multidimensional and object columns in ECSV * Support for reading and writing tables to QDP format * Append table to existing FITS file * General masked class for Quantity and other ndarray subclasses * Configuration file improvements * Support for different solvers and bracket option in z_at_value In addition, hundreds of smaller improvements and fixes have been made. An overview of the changes is provided at: http://docs.astropy.org/en/stable/whatsnew/4.3.html Instructions for installing Astropy are provided on our website, and extensive documentation can be found at: http://docs.astropy.org If you usually use pip/vanilla Python, you can do: pip install astropy --upgrade Note that this will yield astropy v4.3.1 instead of 4.3, which is expected - a significant bug reported between the 4.3 release and this announcement means that the correct version is indeed 4.3.1. If you make use of the Anaconda Python Distribution, soon you will be able update to Astropy v4.3.1 with: conda update astropy Or if you cannot wait for Anaconda to update their default version, you can use the conda-forge channel: conda update -c conda-forge astropy Please report any issues, or request new features via our GitHub repository: https://github.com/astropy/astropy/issues Over 400 people have contributed code to Astropy so far, and you can find out more about the team behind Astropy here: https://www.astropy.org/team.html The LTS (Long Term Support) version of Astropy at the time of v4.3's release is v4.0 - this version will be maintained until the next LTS release (v5.0, scheduled for Fall 2021). v4.0.6 is the latest version, also just released. Additionally, note that the Astropy 4.x series only supports Python 3. Python 2 users can continue to use the 2.x series but it is no longer supported (as Python 2 itself is no longer supported). For assistance converting Python 2 code to Python 3, see the Python 3 for scientists conversion guide. If you use Astropy directly for your work, or as a dependency to another package, please remember to acknowledge it by citing the appropriate Astropy paper. For the most up-to-date suggestions, see the acknowledgement page, but as of this release the recommendation is: This research made use of Astropy, a community-developed core Python package for Astronomy (Astropy Collaboration, 2013, 2018). We hope that you enjoy using Astropy as much as we enjoyed developing it! Erik Tollerud v4.3 Release Coordinator on behalf of The Astropy Project https://www.astropy.org/announcements/release-4.3.html

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[JOB] modeling engineer at Form Energy
by Dr. Mark Alexander Mikofski PhD 18 Aug '21

18 Aug '21

https://jobs.lever.co/formenergy/672c9b68-fc0e-46ff-b430-7a65e829ab8a Role Description We are looking for a Staff Modeling Engineer to join our systems team to build energy storage system performance models which will be used as the basis for designing our multi-day storage product. The Staff Modeling Engineer will be responsible for engaging with the battery team, the systems team, and the market analytics team to develop modeling tools which capture the electrochemical performance of our product under real world operating conditions, equipping those teams with the tools they need to make trade decisions between cost, performance, and durability. This engineer is expected to collaborate with the engineers developing the mechanistic battery models but need not be an electrochemist. The engineer is expected to have experience with systems modelling at a high level and proven abilities for abstracting and simplifying complex systems.

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NumPy 1.21.2 released
by Charles R Harris 16 Aug '21

16 Aug '21

Hi All, On behalf of the NumPy team I am pleased to announce the release of NumPy 1.21.2. NumPy 1.21.2 is a maintenance release that fixes bugs discovered after 1.21.1. It also provides 64 bit manylinux Python 3.10.0rc1 wheels for downstream testing. Note that Python 3.10 is not yet final. There is also preliminary support for Windows on ARM64 builds, but there is no OpenBLAS for that platform and no wheels are available. The Python versions supported for this release are 3.7-3.9. The 1.21.2 release is compatible with Python 3.10.0rc1 and Python 3.10 will be officially supported after it is released. The previous problems with gcc-11.1 have been fixed by gcc-11.2, check your version if you are using gcc-11. Wheels can be downloaded from PyPI <https://pypi.org/project/numpy/1.21.2/>; source archives, release notes, and wheel hashes are available on Github <https://github.com/numpy/numpy/releases/tag/v1.21.2>. Linux users will need pip >= 0.19.3 in order to install manylinux2010 and manylinux2014 wheels. *Contributors* A total of 10 people contributed to this release. People with a "+" by their names contributed a patch for the first time. - Bas van Beek - Carl Johnsen + - Charles Harris - Gwyn Ciesla + - Matthieu Dartiailh - Matti Picus - Niyas Sait + - Ralf Gommers - Sayed Adel - Sebastian Berg *Pull requests merged* A total of 18 pull requests were merged for this release. - #19497: MAINT: set Python version for 1.21.x to ``<3.11`` - #19533: BUG: Fix an issue wherein importing ``numpy.typing`` could raise - #19646: MAINT: Update Cython version for Python 3.10. - #19648: TST: Bump the python 3.10 test version from beta4 to rc1 - #19651: TST: avoid distutils.sysconfig in runtests.py - #19652: MAINT: add missing dunder method to nditer type hints - #19656: BLD, SIMD: Fix testing extra checks when ``-Werror`` isn't applicable... - #19657: BUG: Remove logical object ufuncs with bool output - #19658: MAINT: Include .coveragerc in source distributions to support... - #19659: BUG: Fix bad write in masked iterator output copy paths - #19660: ENH: Add support for windows on arm targets - #19661: BUG: add base to templated arguments for platlib - #19662: BUG,DEP: Non-default UFunc signature/dtype usage should be deprecated - #19666: MAINT: Add Python 3.10 to supported versions. - #19668: TST,BUG: Sanitize path-separators when running ``runtest.py`` - #19671: BLD: load extra flags when checking for libflame - #19676: BLD: update circleCI docker image - #19677: REL: Prepare for 1.21.2 release. Cheers Charles Harris

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