TypeError when trying to display a plot inside a pane
ALL software version info
Software Version Info
Name Version Build Channel
───────────────────────────────────────────────────────────────────────────────────────────────────
bokeh 3.8.1 pyhd8ed1ab_0 conda-forge
datashader 0.18.1 pyhd8ed1ab_0 conda-forge
folium 0.20.0 pyhd8ed1ab_0 conda-forge
geographiclib 2.0 pyhd8ed1ab_1 conda-forge
geoviews 1.14.0 hd8ed1ab_0 conda-forge
geoviews-core 1.14.0 pyha770c72_0 conda-forge
holoviews 1.22.0 pyhd8ed1ab_1 conda-forge
hvplot 0.12.1 pyhd8ed1ab_0 conda-forge
jupyter_bokeh 4.0.5 pyhd8ed1ab_1 conda-forge
jupyter_client 8.6.3 pyhd8ed1ab_1 conda-forge
jupyter_core 5.8.1 pyh31011fe_0 conda-forge
pandas 2.3.0 py312hcb1e3ce_0 conda-forge
python 3.12.11 hc22306f_0_cpython conda-forge
Running the first example from the doc here https://panel.holoviz.org/reference/panes/HoloViews.html
import numpy as np
import pandas as pd
import panel as pn
import hvplot.pandas
data = {"group": np.random.randint(0, 10, 100), "value": np.random.randn(100)}
df = pd.DataFrame(data)
plot = df.hvplot.box(by="group", y="value", responsive=True, height=300)
plot
shows
However when I try to insert it into a panel (as in the example)
pn.pane.HoloViews(plot, height=300, sizing_mode="stretch_width")
I get lots of TypeError and the figure is not shown
I'm running into a notebook inside VsCode (MacOS). Not sure whether that is relevant or not.
It seems to work for me (though on Linux).
Can you report versions of Panel, pyviz_comms, and IPykernel? And also check you are running the correct environment inside the notebook.
Panel
Hey @hoxbro, here are the versions
panel 1.8.3
pyviz_comms 3.0.4
ipykernel 6.29.5
I double checked I'm using the right kernel ;)
Panel
Hey @hoxbro, here are the versions
panel 1.8.3 pyviz_comms 3.0.4 ipykernel 6.29.5I double checked I'm using the right kernel ;)
Just updated those 2 packages to the new versions but that didn't seem to fix the issue. Needless to say I have tried countless times to restart vscode and reload the notebook
Sorry for the slow response. Could you also report your ipywidgets version? Suspect that is the culprit here.
Actually, that's probably not it either. The tracebacks are confusing and don't provide much context unfortunately. Somehow:
event = deserializer.deserialize(Serialized(content=content, buffers=[]))
deserializes to a figure object, which really should not happen.