import pandas as pd
import holoviews as hv
from holoviews import opts
from bokeh.io import show

# Use Bokeh for rendering
hv.extension('bokeh')

# Define the labels
labels = ['A', 'B', 'C', 'D', 'E']

# Define the connections (source, target, value)
connections = [
    ('A', 'B', 2), ('A', 'C', 3), ('A', 'E', 4),
    ('B', 'A', 2), ('B', 'C', 1), ('B', 'D', 5),
    ('C', 'A', 3), ('C', 'B', 1), ('C', 'D', 6),
    ('D', 'B', 5), ('D', 'C', 6), ('D', 'E', 2),
    ('E', 'A', 4), ('E', 'D', 2)
]

# Create a DataFrame from the connections
df = pd.DataFrame(connections, columns=['source', 'target', 'value'])

# Create the Chord element
chord = hv.Chord(df)

# Customize the appearance
chord.opts(
    opts.Chord(
        cmap='Category20',
        edge_color=hv.dim('source').str(),
        node_color=hv.dim('index').str(),
        label_text_font_size='10pt',
        edge_line_width=hv.dim('value')*5,  # Increase edge line width based on value
        edge_alpha=0.3,
        node_size=15,
        labels='name',
        width=800,  # Set plot width
        height=800  # Set plot height
    )
)

# Display the chord diagram
hv.output(chord)
show(hv.render(chord))