Hi,
I would actually recommend that you check out the new HoloViews release:
[http://holoviews.org/](http://holoviews.org/)
HoloViews is a very high-level API for data exploration that integrates tightly with Bokeh to produce statistical and other visualizations with less code. We will be advocating for users to use Holoviews (instead of the old bkcharts package) going forward.
Here is an example of a Bokeh joint plot created using Holoviews:
···
On Jun 30, 2017, at 11:33, ‘Fabian Braennstroem’ via Bokeh Discussion - Public [email protected] wrote:
Hello,
I would like to get a seaborn jointplot into bokeh.
The lines below work with the kdeplot, but not with the jointplot.
import seaborn as sns
from bokeh import mpl
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
from bokeh.io import showdf = pd.DataFrame(np.random.randint(0,100,size=(100, 4)), columns=list(‘ABCD’))
ax = sns.jointplot(x=“A”, y=“B”, data=df, kind=“kde”)ax = sns.kdeplot(df[“A”], df[“B”])
show(mpl.to_bokeh())
Do you have a suggestion how to proceed with this? I assume that I need somehow create several bokeh plots out of the jointplot…
Thank you!
Best Regards
Fabian
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