Hi everyone,
I copied the code below from a separate post on creating widgets that update plots based on the selection:
# import libraries
import numpy as np
import pandas as pd
import hvplot
import hvplot.pandas
import holoviews as hv
hv.extension('bokeh', logo=False)
import panel as pn
# create sample data
df = pd.DataFrame({
'col1': np.random.rand(30),
'col2': np.random.normal(size=30),
'category_col': np.random.choice(['category1', 'category2'], size=30)
})
# create widget to select category
category = pn.widgets.Select(options=['category1', 'category2'])
# function that returns a plot depending on the category selected
@pn.depends(category)
def get_plot(category):
df_selected = df[df['category_col'] == category]
plot = df_selected.hvplot.scatter(x='col1', y='col2')
return plot
# show dashboard with selection widget and dynamic plot
pn.Column(
pn.Row(category),
get_plot,
)
However, for me the charts do not update when the selection is made. Does anyone know what is going on here? I’m trying to execute this in a Jupyter Lab notebook on my local machine, no server. I’m running the following versions of these libraries:
holoviews: 1.13.3 hvplot: 0.6.0 panel: 0.9.7
Any insight would be greatly appreciated!
Kind regards