Mailman 3 July 2020 - 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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stats significance tests: why no functions for proportions?
by Florin Andrei July 29, 2020

July 29, 2020

See this cheatsheet I made for myself for a few basic stats problems: https://github.com/FlorinAndrei/misc/blob/master/ch24_review.ipynb These are all significance tests - I'm testing claims. Whenever I test a mean (one sample), or I compare two means (two samples), there's a convenient scipy.stats function that does everything in one line. But when I test a proportion (one sample), or I compare two proportions (two samples), I need to compute the z-score first, and then feed that into stats.norm.cdf(). Why aren't there any functions for proportions, where I could just feed the sample(s) and the functions would return the P-value in each case? -- Florin Andrei https://florin.myip.org/

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NumPy 1.19.1 released.
by Charles R Harris July 21, 2020

July 21, 2020

Hi All, On behalf of the NumPy team I am pleased to announce that NumPy 1.19.1 has been released. This release supports Python 3.6-3.8 and may be built with the latest Python 3.9 beta. It fixes several bugs found in the 1.19.0 release, replaces several functions deprecated in the upcoming Python-3.9 release, has improved support for AIX, and has a number of development related updates to keep CI working with recent upstream changes. Downstream developers should use Cython >= 0.29.21 when building for Python 3.9 and Cython >= 0.29.16 when building for Python 3.8. OpenBLAS >= 3.7 is needed to avoid wrong results on the Skylake architecture. The NumPy Wheels for this release can be downloaded from PyPI <https://pypi.org/project/numpy/1.19.1/>, source archives, release notes, and wheel hashes are available from Github <https://github.com/numpy/numpy/releases/tag/v1.19.1>. Linux users will need pip >= 0.19.3 in order to install manylinux2010 and manylinux2014 wheels. *Contributors* A total of 15 people contributed to this release. People with a "+" by their names contributed a patch for the first time. - Abhinav Reddy + - Anirudh Subramanian - Antonio Larrosa + - Charles Harris - Chunlin Fang - Eric Wieser - Etienne Guesnet + - Kevin Sheppard - Matti Picus - Raghuveer Devulapalli - Roman Yurchak - Ross Barnowski - Sayed Adel - Sebastian Berg - Tyler Reddy *Pull requests merged* A total of 25 pull requests were merged for this release. - #16649: MAINT, CI: disable Shippable cache - #16652: MAINT: Replace PyUString_GET_SIZE with PyUnicode_GetLength. - #16654: REL: Fix outdated docs link - #16656: BUG: raise IEEE exception on AIX - #16672: BUG: Fix bug in AVX complex absolute while processing array of... - #16693: TST: Add extra debugging information to CPU features detection - #16703: BLD: Add CPU entry for Emscripten / WebAssembly - #16705: TST: Disable Python 3.9-dev testing. - #16714: MAINT: Disable use_hugepages in case of ValueError - #16724: BUG: Fix PyArray_SearchSorted signature. - #16768: MAINT: Fixes for deprecated functions in scalartypes.c.src - #16772: MAINT: Remove unneeded call to PyUnicode_READY - #16776: MAINT: Fix deprecated functions in scalarapi.c - #16779: BLD, ENH: Add RPATH support for AIX - #16780: BUG: Fix default fallback in genfromtxt - #16784: BUG: Added missing return after raising error in methods.c - #16795: BLD: update cython to 0.29.21 - #16832: MAINT: setuptools 49.2.0 emits a warning, avoid it - #16872: BUG: Validate output size in bin- and multinomial - #16875: BLD, MAINT: Pin setuptools - #16904: DOC: Reconstruct Testing Guideline. - #16905: TST, BUG: Re-raise MemoryError exception in test_large_zip's... - #16906: BUG, DOC: Fix bad MPL kwarg. - #16916: BUG: Fix string/bytes to complex assignment - #16922: REL: Prepare for NumPy 1.19.1 release Cheers, Charles Harris

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