Mailman 3 May 2021 - SciPy-User

How to display a RGB image (MFISH)?
by jp April 3, 2023

April 3, 2023

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 July 28, 2022

July 28, 2022

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Help required regding Eigenvectors
by Sudheer Phani March 14, 2022

March 14, 2022

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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NumPy 1.21.0rc1 has been released.
by Charles R Harris May 24, 2021

May 24, 2021

Hi All, On behalf of the NumPy team I am pleased to announce the release of NumPy 1.21.0rc1. The highlights are - continued SIMD work covering more functions and platforms, - initial work on the new dtype infrastructure and casting, - improved documentation, - improved annotations, - the new ``PCG64DXSM`` bitgenerator for random numbers. This NumPy release is the result of 561 merged pull requests contributed by 171 people. The Python versions supported for this release are 3.7-3.9, support for Python 3.10 will be added after Python 3.10 is released. Wheels can be downloaded from PyPI <https://pypi.org/project/numpy/1.21.0rc1/>; source archives, release notes, and wheel hashes are available on Github <https://github.com/numpy/numpy/releases/tag/v1.21.0rc1>. Linux users will need pip >= 0.19.3 in order to install manylinux2010 and manylinux2014 wheels. *Contributors* A total of 171 people contributed to this release. People with a "+" by their names contributed a patch for the first time. - @8bitmp3 + - @DWesl + - @Endolith - @Illviljan + - @Lbogula + - @Lisa + - @Patrick + - @Scian + - @h-vetinari + - @h6197627 + - @jbCodeHub + - @legoffant + - @sfolje0 + - @tautaus + - @yetanothercheer + - Abhay Raghuvanshi + - Adrian Price-Whelan + - Aerik Pawson + - Agbonze Osazuwa + - Aitik Gupta + - Al-Baraa El-Hag - Alex Henrie - Alexander Hunt + - Alizé Papp + - Allan Haldane - Amarnath1904 + - Amrit Krishnan + - Andras Deak - AngelGris + - Anne Archibald - Anthony Vo + - Antony Lee - Atharva-Vidwans + - Ayush Verma + - Bas van Beek - Bharat Raghunathan - Bhargav V + - Brian Soto - Carl Michal + - Charles Harris - Charles Stern + - Chiara Marmo + - Chris Barnes + - Chris Vavaliaris - Christina Hedges + - Christoph Gohlke - Christopher Dahlin + - Christos Efstathiou + - Chunlin Fang - Constanza Fierro + - Daniel Evans + - Daniel Montes + - Dario Mory + - David Carlier + - David Stansby - Deepyaman Datta + - Derek Homeier - Dong Keun Oh + - Dylan Cutler + - Eric Larson - Eric Wieser - Eva Jau + - Evgeni Burovski - FX Coudert + - Faris A Chugthai + - Filip Ter + - Filip Trojan + - François Le Lay + - Ganesh Kathiresan - Giannis Zapantis + - Giulio Procopio + - Greg Lucas + - Hollow Man + - Holly Corbett + - Inessa Pawson - Isabela Presedo-Floyd - Ismael Jimenez + - Isuru Fernando - Jakob Jakobson - James Gerity + - Jamie Macey + - Jasmin Classen + - Jody Klymak + - Joseph Fox-Rabinovitz - Jérome Eertmans + - Kamil Choudhury + - Kasia Leszek + - Keller Meier + - Kevin Sheppard - Kulin Seth + - Kumud Lakara + - Laura Kopf + - Laura Martens + - Leo Singer + - Leonardus Chen + - Lima Tango + - Lumir Balhar + - Maia Kaplan + - Mainak Debnath + - Marco Aurélio da Costa + - Marta Lemanczyk + - Marten van Kerkwijk - Mary Conley + - Marysia Winkels + - Mateusz Sokół + - Matt Haberland - Matt Hall + - Matt Ord + - Matthew Badin + - Matthias Bussonnier - Matthias Geier - Matti Picus - Matías Ríos + - Maxim Belkin + - Melissa Weber Mendonça - Meltem Eren Copur + - Michael Dubravski + - Michael Lamparski - Michal W. Tarnowski + - Michał Górny + - Mike Boyle + - Mike Toews - Misal Raj + - Mitchell Faas + - Mukulikaa Parhari + - Neil Girdhar + - Nicholas McKibben + - Nico Schlömer - Nicolas Hug + - Nilo Kruchelski + - Nirjas Jakilim + - Ohad Ravid + - Olivier Grisel - Pamphile ROY + - Panos Mavrogiorgos + - Patrick T. Komiske III + - Pearu Peterson - Raghuveer Devulapalli - Ralf Gommers - Raúl Montón Pinillos + - Rin Arakaki + - Robert Kern - Rohit Sanjay - Roman Yurchak - Ronan Lamy - Ross Barnowski - Ryan C Cooper - Ryan Polley + - Ryan Soklaski - Sabrina Simao + - Sayed Adel - Sebastian Berg - Shen Zhou + - Stefan van der Walt - Sylwester Arabas + - Takanori Hirano - Tania Allard + - Thomas J. Fan + - Thomas Orgis + - Tim Hoffmann - Tomoki, Karatsu + - Tong Zou + - Touqir Sajed + - Tyler Reddy - Wansoo Kim - Warren Weckesser - Weh Andreas + - Yang Hau - Yashasvi Misra + - Zolboo Erdenebaatar + - Zolisa Bleki Cheers, Charles Harris

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ANN: rvmath 0.1
by Hernan Grecco May 12, 2021

May 12, 2021

Hi, I am writing to announce the first release of rvmath. Briefly, it is a thin wrapper around scipy stats module that allows you to write and evaluate math expressions involving random variables. >>> import rvmath as rvm >>> x = rvm.uniform() >>> y = rvm.norm() >>> z = x + y >>> print(z.rvs(3)) Being built on top of SciPy, all continuous distributions available there are also available in this package (with the same options). NumPy functions and ufuncs are also supported out of the box. You can check the code and README: https://github.com/hgrecco/rvmath best, Hernán

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NumPy 1.20.3 release
by Charles R Harris May 10, 2021

May 10, 2021

Hi All, On behalf of the NumPy team I am pleased to announce the release of NumPy 1.20.3. NumPy 1,20.3 is a bugfix release containing several fixes merged to the main branch after the NumPy 1.20.2 release. The Python versions supported for this release are 3.7-3.9. Wheels can be downloaded from PyPI <https://pypi.org/project/numpy/1.20.3/>; source archives, release notes, and wheel hashes are available on Github <https://github.com/numpy/numpy/releases/tag/v1.20.3>. Linux users will need pip >= 0.19.3 in order to install manylinux2010 and manylinux2014 wheels. *Contributors* A total of 7 people contributed to this release. People with a "+" by their names contributed a patch for the first time. - Anne Archibald - Bas van Beek - Charles Harris - Dong Keun Oh + - Kamil Choudhury + - Sayed Adel - Sebastian Berg *Pull requests merged* A total of 15 pull requests were merged for this release. - #18763: BUG: Correct ``datetime64`` missing type overload for ``datetime.date``... - #18764: MAINT: Remove ``__all__`` in favor of explicit re-exports - #18768: BLD: Strip extra newline when dumping gfortran version on MacOS - #18769: BUG: fix segfault in object/longdouble operations - #18794: MAINT: Use towncrier build explicitly - #18887: MAINT: Relax certain integer-type constraints - #18915: MAINT: Remove unsafe unions and ABCs from return-annotations - #18921: MAINT: Allow more recursion depth for scalar tests. - #18922: BUG: Initialize the full nditer buffer in case of error - #18923: BLD: remove unnecessary flag ``-faltivec`` on macOS - #18924: MAINT, CI: treats _SIMD module build warnings as errors through... - #18925: BUG: for MINGW, threads.h existence test requires GLIBC > 2.12 - #18941: BUG: Make changelog recognize gh- as a PR number prefix. - #18948: REL, DOC: Prepare for the NumPy 1.20.3 release. - #18953: BUG: Fix failing mypy test in 1.20.x. Cheers, Charles Harris

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Fwd: PhD position in the Netherlands; solar energy/Python
by Dr. Mark Alexander Mikofski PhD May 1, 2021

May 1, 2021

Hello, sharing a PhD position opening at Utrecht in Netherlands. Read more below... ---------- Forwarded message --------- From: Mark Mikofski <bwanamarko(a)gmail.com> Date: Fri, Apr 30, 2021, 12:29 PM Subject: Fwd: PhD position in the Netherlands; solar energy/Python To: Mark Alexander Mikofski <mikofski(a)berkeley.edu> PhD positions with Wilfried van Sark at Utrecht Netherlands ---------- Forwarded message --------- From: abedw...(a)googlemail.com <abedwayyad(a)googlemail.com> Date: Monday, April 19, 2021 at 9:22:00 AM UTC-7 Subject: PhD position in the Netherlands; solar energy/Python To: pvlib-python <pvlib-python(a)googlegroups.com> Hello all, I did my MSc with Wilfried at Utrecht (the Netherlands). He's a truly wonderful mentor with an amazing and broad grasp of the knowledge. 10/10 would recommend doing a PhD there if you or someone you know would like to develop solar forecasting models. They are looking for pythonistas. All the best, Abed ---------- Forwarded message --------- From: dr. Wilfried van Sark - W.G.J.H....(a)uu.nl <blackboar...(a)uu.nl> Date: Wed, Apr 14, 2021 at 4:11 AM Subject: Master Energy Science: Looking for PhD/junior researchers To: Dear all, I am looking for talented and motivated junior researchers that would be interested to work in two projects: 1) ROBUST project: this recently granted project is focused on investigating options for flexibility in local electricity grids by using vehicle-to-grid technology in neighborhoods in Utrecht and Arnhem. We require experience with data analysis and simulation using Python. In this project we collaborate with WeDriveSolar and TUDelft. We have funding for at least 44 months available. 2) PVObs and SolFaSi projects. Both projects deal with photovoltaic performance and forecasting. The PVObs project aims to create a large database of PV systems in the Netherlands in order to assess their performance and from that determine with better accuracy the contribution of PV to the national electricity demand. Parnters in this project are CBS and SunData. The SolFaSi project aims to develop PV forecasting at high time and spatial resolutions using all-sky imagers (aka cloud cameras). We will install three cameras at the UU campus and one at KNMI. This network allows to construct a moving shadow field over the campus. This should be correlated with the power generation of the 4000+ PV panels at campus buildings. We require experience with (big) data analysis and simulation using Python. We have funding for 24 months available. If you are interested, or if you know someone who may be interested, please send me a mail at w.g.j.h....(a)uu.nl best regards Wilfried

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