trame-vega extend trame widgets with a Figure component that is capable of rendering Vega grammars such as Altair plots.
trame-vega can be installed with pip:
pip install --upgrade trame-vegaThe Trame Tutorial is the place to go to learn how to use the library and start building your own application.
The API Reference documentation provides API-level documentation.
trame-vega is made available under the BSD-3 License. For more details, see LICENSE This license has been chosen to match the one use by Vega and Altair which are either used within that trame widget or will be use by the user to create the content for those Figures.
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The Python interface of Altair provide examples on how to create various visualization.
import altair as alt
from vega_datasets import data
from trame.widgets import vega
# Generate chart
source = data.cars()
fig = (
alt.Chart(source)
.mark_circle()
.encode(
alt.X(alt.repeat("column"), type="quantitative"),
alt.Y(alt.repeat("row"), type="quantitative"),
color="Origin:N",
)
.properties(width=200, height=200)
.repeat(
row=["Horsepower", "Acceleration", "Miles_per_Gallon"],
column=["Miles_per_Gallon", "Acceleration", "Horsepower"],
)
.interactive()
)
# Display it
widget = vega.Figure(figure=None) # could pass fig at construction
widget.update(fig) # or update later
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