An analysis and visualization toolkit for Astrophysical simulations, focusing on Adaptive Mesh Refinement data from Enzo, Orion, FLASH, and others.
Project description
Hi there! You’ve just downloaded yt, an analysis tool for scientific datasets, generated on a variety of data platforms. It’s written in python and heavily leverages NumPy, Matplotlib, SymPy and Cython for a variety of tasks.
Full documentation and a user community can be found at:
If you have used Python before, and are comfortable with installing packages, you should find the setup.py script fairly straightforward: simply execute “python setup.py install”.
If you would rather a more automated installation, you can use the script doc/install_script.sh . You will have to set the destination directory, and there are options available, but it should be straightforward.
For more information on installation, what to do if you run into problems, or ways to help development, please visit our website.
Enjoy!
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distributions
File details
Details for the file yt-3.3.1.tar.gz.
File metadata
- Download URL: yt-3.3.1.tar.gz
- Upload date:
- Size: 8.9 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 01e3b3398d43b8eab698d55ba37ef3d701ea026b899c0940a1ee34b215e25a31 |
|
| MD5 | a9febaed9e0dc204c9241b9bfcfc5dec |
|
| BLAKE2b-256 | 5635fcdb0364dad9f1a45b91179b5f8ee875c9e533a0564a4d9808f452f35ff2 |
File details
Details for the file yt-3.3.1-cp35-cp35m-win_amd64.whl.
File metadata
- Download URL: yt-3.3.1-cp35-cp35m-win_amd64.whl
- Upload date:
- Size: 4.0 MB
- Tags: CPython 3.5m, Windows x86-64
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | a0bbbf923fe7d71772f4dedb0a1b1abf7c9b370275939a3524264b910970ac3e |
|
| MD5 | 5b0ff7b521f88d80eca1d607ddd5d98f |
|
| BLAKE2b-256 | 53580c15503bfd8aad27b299653071ac9a9e829755b97d295f8ebb7af02befd3 |
File details
Details for the file yt-3.3.1-cp35-cp35m-manylinux1_x86_64.whl.
File metadata
- Download URL: yt-3.3.1-cp35-cp35m-manylinux1_x86_64.whl
- Upload date:
- Size: 12.6 MB
- Tags: CPython 3.5m
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 78256319620bdb28b20779519a1764272428f948638c022d1a46fc1a58d85270 |
|
| MD5 | f5bd9283b852693dba8b71ec0f19bd10 |
|
| BLAKE2b-256 | 172d206b66050b82dd388dc55d95dd252c400e943a5029e8ea5117f9ccb341a3 |
File details
Details for the file yt-3.3.1-cp35-cp35m-manylinux1_i686.whl.
File metadata
- Download URL: yt-3.3.1-cp35-cp35m-manylinux1_i686.whl
- Upload date:
- Size: 11.8 MB
- Tags: CPython 3.5m
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | a44c9a12bc7a39c7c7377351242f6bd09fd4bd030868b4322704171b646baf28 |
|
| MD5 | 12be85f66ed51225ef127dbbcbb50aca |
|
| BLAKE2b-256 | d010624e5a2f27f57856cb13e0b303d519afc98f7ff1b4a74bbf1254cc3b73ce |
File details
Details for the file yt-3.3.1-cp35-cp35m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl.
File metadata
- Download URL: yt-3.3.1-cp35-cp35m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
- Upload date:
- Size: 7.4 MB
- Tags: CPython 3.5m, macOS 10.10+ Intel (x86-64, i386), macOS 10.10+ x86-64, macOS 10.6+ Intel (x86-64, i386), macOS 10.9+ Intel (x86-64, i386), macOS 10.9+ x86-64
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 062e56ec784bf7c77d3cec217d6a342ad9cc7774b7723afa8e119441cd339331 |
|
| MD5 | bbe41e0ba108eed5b2a59a0f288daf45 |
|
| BLAKE2b-256 | f7c5aaea466d456d2e11747c4e1a7325dd69f015d7536b2486cd8238007cecc3 |
File details
Details for the file yt-3.3.1-cp34-cp34m-win_amd64.whl.
File metadata
- Download URL: yt-3.3.1-cp34-cp34m-win_amd64.whl
- Upload date:
- Size: 3.9 MB
- Tags: CPython 3.4m, Windows x86-64
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | b5f83e3cad0d9e233a6e9b6905cf8bf7510ea2881a0bb7d2e1a57be4d6008a7f |
|
| MD5 | a2ce30560a68e82c6cf7b155ba097770 |
|
| BLAKE2b-256 | 57514c73b67b5d7fde97f1cda97bb61f2937dbd948a86b64dc868ee9a06cd513 |
File details
Details for the file yt-3.3.1-cp34-cp34m-manylinux1_x86_64.whl.
File metadata
- Download URL: yt-3.3.1-cp34-cp34m-manylinux1_x86_64.whl
- Upload date:
- Size: 12.7 MB
- Tags: CPython 3.4m
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | df591861bba08c52d5430402ef585ed1cf26f24a4fcda0ad3cb883c5463cc3ef |
|
| MD5 | 64bb4ceb56a96f8436fc639f72287677 |
|
| BLAKE2b-256 | 1add9d228b9acffc469e5c9850bc082c308456022cbcdb88a470c119806a7b7c |
File details
Details for the file yt-3.3.1-cp34-cp34m-manylinux1_i686.whl.
File metadata
- Download URL: yt-3.3.1-cp34-cp34m-manylinux1_i686.whl
- Upload date:
- Size: 11.9 MB
- Tags: CPython 3.4m
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 8d6d2657955397927a1f5d7ad3b471c8307d891a6369c5a853e0f0a364be35a5 |
|
| MD5 | ffaba53954b97283c9089fd60c98405d |
|
| BLAKE2b-256 | 2e149a0efa18307d3913cac89f9293169bcfb36060bcf39a225afb2257fbbef3 |
File details
Details for the file yt-3.3.1-cp34-cp34m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl.
File metadata
- Download URL: yt-3.3.1-cp34-cp34m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
- Upload date:
- Size: 7.4 MB
- Tags: CPython 3.4m, macOS 10.10+ Intel (x86-64, i386), macOS 10.10+ x86-64, macOS 10.6+ Intel (x86-64, i386), macOS 10.9+ Intel (x86-64, i386), macOS 10.9+ x86-64
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 69e7a1e01a2f57ab381aa744efbf3ff2e409a0cb6679a1ab596fd8733be8dc56 |
|
| MD5 | e22eeec86f52b37cdef18aa7d2fadf3d |
|
| BLAKE2b-256 | dcdffb1a5f44da1ffff859e2809b5b40381c4dfe368e47dd09c638bab4ac8946 |
File details
Details for the file yt-3.3.1-cp27-none-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl.
File metadata
- Download URL: yt-3.3.1-cp27-none-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
- Upload date:
- Size: 7.8 MB
- Tags: CPython 2.7, macOS 10.10+ Intel (x86-64, i386), macOS 10.10+ x86-64, macOS 10.6+ Intel (x86-64, i386), macOS 10.9+ Intel (x86-64, i386), macOS 10.9+ x86-64
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 45c77f74f5125a8f48f7af396a3b9578de412b39165401c9c858f210ae37e748 |
|
| MD5 | 3608c5d49f2055bdeaf3b8e90a65ad6d |
|
| BLAKE2b-256 | 623858ed9e3443b4d1602531d78b40fde9567c98673e5c479067b0db203fe01b |
File details
Details for the file yt-3.3.1-cp27-cp27mu-manylinux1_x86_64.whl.
File metadata
- Download URL: yt-3.3.1-cp27-cp27mu-manylinux1_x86_64.whl
- Upload date:
- Size: 12.7 MB
- Tags: CPython 2.7mu
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | c84c3247ebac311e7e007c55adac541798f244642cfd08ff66b2949c26ae912f |
|
| MD5 | a7606cca652ed792a4f97d6efa9dbe88 |
|
| BLAKE2b-256 | fd8d299d2237d69556e90879b03bb77fbb27c7484917ddc5c3a8a41561a94e05 |
File details
Details for the file yt-3.3.1-cp27-cp27mu-manylinux1_i686.whl.
File metadata
- Download URL: yt-3.3.1-cp27-cp27mu-manylinux1_i686.whl
- Upload date:
- Size: 11.9 MB
- Tags: CPython 2.7mu
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 4d58f46abf2bead121f7d5d412d4a412f547fadd0ae4ed459bdf9abc4fb9fba2 |
|
| MD5 | ee8c0ef200e6a0106d0dc848d31d022f |
|
| BLAKE2b-256 | 2cf41cd308358237edf1f19aa87762d5850d2f45165fa38251e3ad8eaf116ac6 |
File details
Details for the file yt-3.3.1-cp27-cp27m-win_amd64.whl.
File metadata
- Download URL: yt-3.3.1-cp27-cp27m-win_amd64.whl
- Upload date:
- Size: 4.2 MB
- Tags: CPython 2.7m, Windows x86-64
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 1a8834f70e180ac3aaf5d9b42a56423215208df09cf6e476b3eed879a41c38a9 |
|
| MD5 | 2d80bcf546ab7b4d675eefd98d75cc33 |
|
| BLAKE2b-256 | a33d0af63d333fac4f12375fb87cf97d7b5c55e41f9ce47200135754f7997387 |
File details
Details for the file yt-3.3.1-cp27-cp27m-manylinux1_x86_64.whl.
File metadata
- Download URL: yt-3.3.1-cp27-cp27m-manylinux1_x86_64.whl
- Upload date:
- Size: 12.7 MB
- Tags: CPython 2.7m
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 12fab001a01a8fae1d2109104db9f6cb39e008626b55a056baaf6fe0dd89d086 |
|
| MD5 | b0eb0e392020838b1898a8bc05257eb1 |
|
| BLAKE2b-256 | 87847bae4935552ec3c0e7385eb8f06048d72487142df9b538497b88a01989f0 |
File details
Details for the file yt-3.3.1-cp27-cp27m-manylinux1_i686.whl.
File metadata
- Download URL: yt-3.3.1-cp27-cp27m-manylinux1_i686.whl
- Upload date:
- Size: 11.9 MB
- Tags: CPython 2.7m
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | ea1768799bb1d203a4dd0670d07576ab12907f1da7afe863928adf8732472f8b |
|
| MD5 | 06d52cd8a4c337832dcbebafe8ec0491 |
|
| BLAKE2b-256 | 83cbb167f40d57fdc947180e7419b5b75bff56dd19b46b7ef41a85158105abdc |
