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pzwang avatar pzwang commented on May 5, 2024

Yes, you can get a ggplot object to render in the notebook by calling .to_html(notebook=True). For instance, the following code plots the facetgrid.py example inline in an IPython notebook (when run from the bokeh/tests/web/ directory):

import pandas
from bokeh.functional import *
from bokeh import mpl
df = pandas.read_csv("../auto-mpg.csv")
g = ggplot(df, aes("displ", "mpg", color="green")) + facet_grid("cyl", "origin") + geom_point()
p = mpl.PlotClient()
p.notebooksources()
g.to_html(notebook=True)

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zachcp avatar zachcp commented on May 5, 2024

Thanks Peter,

I added this code to the [bokehnotebook example]. (#13). It might be useful for getting people started.

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pzwang avatar pzwang commented on May 5, 2024

Great, thanks.

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bryevdv avatar bryevdv commented on May 5, 2024

Note to all: this early experimental ggplot interface that was directly a part of Bokeh was removed in 2013.

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