yt-users February 2022

yt-users@python.org

5 participants
4 discussions

ValueError: 'Invalid filename found when building a RAMSESDataset object: %s'
by moonpigeona＠gmail.com 24 Feb '22

24 Feb '22

Hello! I'm attempting to load a RAMSES dataset using yt.load and I keep getting this error. I'm using the most recent version and it still isn't working. I've tried ds = RAMSESDataset("/Users/Downloads/ramses-nodisc/info_00056.txt") and ds = RAMSESDataset("output_00056.txt/info_00056.txt") I've also tried changing the directory where the RAMSES dataset is located and still nothing. These are my imports: import yt from yt.config import ytcfg import pyxsim import soxs import h5py import matplotlib.pyplot as plt from astropy.wcs import WCS from astropy.io import fits from matplotlib.colors import LogNorm import pandas as pd import numpy as np from yt.frontends.ramses.api import RAMSESDataset If anyone can help that would be much appreciated!

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Clump Finding for Gadget2 format
by 201s408s＠stu.kobe-u.ac.jp 21 Feb '22

21 Feb '22

Dear all, For my master's research, I installed yt and I want to load my research data converted to gadget2 format with yt. The function I want to use is the clump function, and I want to create a similar figure by performing the same processing as the Clump Finding below. https://yt-project.org/doc/cookbook/constructing_data_objects.html#cookbook… First of all, I tried to test with the gadget data placed in the data index, but neither the default nor the hdf5 format works. Is it possible to do Clump Finding in Gadget2 format?

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Call for Proposals for SciPy 2022!
by Matt Davis 05 Feb '22

05 Feb '22

<http://www.scipy2022.scipy.org/> Hi SciPy Community, We are reaching out to you about the 21st annual Scientific Computing with Python Conference — also known as SciPy 2022 <https://www.scipy2022.scipy.org/> — that will be held July 11-17, 2022 in Austin, Texas. The call for submissions <https://www.scipy2022.scipy.org/participate> is now open, and we would love to receive proposals from folks in your organization. We seek submissions for talks and posters <https://www.scipy2022.scipy.org/talk-poster-presentations> by February 11. This year, in addition to the general conference track and domain mini-symposia, we are accepting submissions for two specialized tracks: (1) Machine Learning and Data Science, and (2) Data Life Cycle. We are also seeking tutorial submissions <https://www.scipy2022.scipy.org/tutorials> by February 15. This year's conference will be held in-person in Austin, Texas. Registration opens <https://www.scipy2022.scipy.org/attend> February 3 and early bird rates end May 1. Scholarships are available this year – if you’d like to apply for a scholarship to attend, please fill out this form <https://docs.google.com/forms/d/e/1FAIpQLSdZ_xCt0HbNOhsn3UR4qFf8dhqs0td47Ij…>. The deadline for scholarships <https://www.scipy2022.scipy.org/financial-aid> is March 13. The conference will conclude with two days of Sprints <https://www.scipy2022.scipy.org/sprints> focused on developing and maintaining open source Python scientific software. In addition we are proud to offer again our Mentorship Program and networking events with focused topics like “Careers in Data Science.” You can find out more about our programming at https://www.scipy2022.scipy.org/about. The full schedule will be published later in May. In the meantime, please check out last year’s schedule <https://www.scipy2021.scipy.org/schedule> and videos of last year’s talks and events <https://www.youtube.com/playlist?list=PLYx7XA2nY5GesARqNMImG3NnX3_bWq-lT> to get a better idea of what SciPy conferences are like. SciPy 2022 is shaping up to be a fantastic conference. We hope you'll join us in July! SciPy Organizers

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yt 4.0.2 is released !
by Clément Robert 04 Feb '22

04 Feb '22

The yt development team is happy to announce the release of yt 4.0.2 ! This is a bugfix release with around 30 bugs patched, we recommend all users to upgrade. yt 4.0.2 is available on PyPI right now, and we’re working on the conda-forge distribution. This is the first release we’re distributing for Python 3.10, it also contains several compatibility fixes for Matplotlib 3.4 and 3.5. See the Github release notes for detailshttps://github.com/yt-project/yt/releases/tag/yt-4.0.2 Happy data analysis ! Clément for the yt dev team

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yt-users February 2022