Succint way to add line segments to plotly graph (with python/jupyter notebook)?

Question

I want to create a lollipop plot with several horizontal line segments like this - https://python-graph-gallery.com/184-lollipop-plot-with-2-group. I\'d like to use plotly s

Answer 1

Plotly doesn't provide a built in vectorization for such chart, because it can be done easily by yourself, see my example based on your provided links:

import pandas as pd
import numpy as np
import plotly.offline as pyo
import plotly.graph_objs as go

# Create a dataframe
value1 = np.random.uniform(size = 20)
value2 = value1 + np.random.uniform(size = 20) / 4
df = pd.DataFrame({'group':list(map(chr, range(65, 85))), 'value1':value1 , 'value2':value2 })

my_range=range(1,len(df.index)+1)

# Add title and axis names
data1 = go.Scatter(
        x=df['value1'],
        y=np.array(my_range),
        mode='markers',
        marker=dict(color='blue')
    )


data2 = go.Scatter(
        x=df['value2'],
        y=np.array(my_range),
        mode='markers',
        marker=dict(color='green')
    )

# Horizontal line shape
shapes=[dict(
        type='line',
        x0 = df['value1'].loc[i],
        y0 = i + 1,
        x1 = df['value2'].loc[i],
        y1 = i + 1,
        line = dict(
            color = 'grey',
            width = 2
        )
    ) for i in range(len(df['value1']))]


layout = go.Layout(
    shapes = shapes,
    title='Lollipop Chart'
)

# Plot the chart
fig = go.Figure([data1, data2], layout)

pyo.plot(fig)

With the result I got: