yt¶

yt analyses and visualises volume data.

Installation¶

$ pipenv install yt

Note

If you have not yet installed pipenv, you can find instructions for this at python4datascience:productive/envs/pipenv/install.

You can then check the installation with:

$ yt -h
usage: yt [-h] [--config CONFIG] [--paste] [--paste-detailed] [--detailed]
…

Example¶

>>> import yt
>>> ds = yt.load("IsolatedGalaxy/galaxy0030/galaxy0030")
yt : [INFO     ] 2019-06-05 13:10:39,581 Parameters: current_time              = 0.0060000200028298
yt : [INFO     ] 2019-06-05 13:10:39,583 Parameters: domain_dimensions         = [32 32 32]
yt : [INFO     ] 2019-06-05 13:10:39,585 Parameters: domain_left_edge          = [0. 0. 0.]
yt : [INFO     ] 2019-06-05 13:10:39,586 Parameters: domain_right_edge         = [1. 1. 1.]
yt : [INFO     ] 2019-06-05 13:10:39,588 Parameters: cosmological_simulation   = 0.0
>>> ds.r[0.45:0.55, :, :].sum("cell_mass").in_units("Mjup")
Parsing Hierarchy : 100%|██████████| 173/173 [00:00<00:00, 3427.19it/s]
yt : [INFO     ] 2019-06-05 13:10:39,676 Gathering a field list (this may take a moment.)
9985379895930.627 Mjup

Note

An experimental hardware-accelerated interactive volume renderer was introduced in version 3.3 of yt. In order to use Interactive Data Visualization (IDV), PyOpenGL and cyglfw3 with their respective dependencies must also be installed.