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HoloViews 1.17.0 Bokeh 3.2.1
Note that it will work if there is only one kdim or if it shares an axis with another plot or if you provide ylims in the options.
This bug appeared in 1.17.0. Take the example from the docs and display it within an Overlay element:
import numpy as np import pandas as pd import holoviews as hv hv.extension('bokeh') samples = 100 pets = ['Cat', 'Dog', 'Hamster', 'Rabbit'] genders = ['Female', 'Male'] pets_sample = np.random.choice(pets, samples) gender_sample = np.random.choice(genders, samples) count = np.random.randint(1, 5, size=samples) df = pd.DataFrame({'Pets': pets_sample, 'Gender': gender_sample, 'Count': count}) bars = hv.Bars(df, kdims=['Pets', 'Gender']).aggregate(function=np.sum) overlay = hv.Overlay([bars])
When you pan, the browser console says: "[bokeh] could not set initial ranges".
The text was updated successfully, but these errors were encountered:
xarray.DataArray.hvplot.bar
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HoloViews 1.17.0
Bokeh 3.2.1
Note that it will work if there is only one kdim or if it shares an axis with another plot or if you provide ylims in the options.
This bug appeared in 1.17.0. Take the example from the docs and display it within an Overlay element:
When you pan, the browser console says: "[bokeh] could not set initial ranges".
The text was updated successfully, but these errors were encountered: