The widgyts package is designed to work with yt, but it can also work without a yt import.
Components of widgyts¶
There are two different sets of widgets that widgyts has, that are for different purposes.
We anticipate these will eventually be unified!
Dataset Summary Viewer¶
Widgyts has an “overview” module for viewing datasets, with a simple 3D grid
viewer built-in for AMR datasets. At present it has a few widgets that you can
generate, but only one (
DatasetViewer) is necessary, as the others are
implicitly set up.
DatasetViewer has a list of
components that are all displayed; this
automatically includes a viewer for the
ds.parameters object and a viewer
for the fields and some other metadata about the dataset. You can append any
ipywidgets component to have it viewed inline, but we also anticipate this
being a place that additional widgets and functionality will be added to
Unlike the variable mesh viewer, the
DatasetViewer needs to be both
instantiated explicitly and the
widget() method called on it:
import yt import widgyts ds = yt.load_sample("IsolatedGalaxy") dsv = widgyts.DatasetViewer(ds = ds) dsv.widget()
The data displayed here should persist with a notebook save, and should even be visible on `nbviewer<https://nbviewer.jupyter.org>`_!
Variable Mesh Viewer¶
The “pan and zoom” part of widgyts has three widgets that a user can interact
ColorMaps. Each widget has a
webassembly) that can be updated through the widget API. These traitlets can be
linked (see our Examples for some demonstrations of this in practice) so
that widget instances can update together.
The example notebooks illustrate different functionality of the widgyts package. Each is intended to show how widgyts can be used for your own workflow.
galaxy_display.ipynbshows the monkeypatching feature between yt and widgyts to enable you to do interactive visualization directly on any yt dataset.
FRBViewer_tutorial.ipynbshows using the FRBViewer module of widgyts in conjunction with yt’s data manipulation features. It illustrates some traitlet manipulation in the Colormaps module as well as traitlet linking between views of different fields.
datasetviewer_tutorial.ipynbshows how to use the dataset viewer.