How to add jitter to plotly.go.scatter() in python when mode="lines"

I have a dataframe as such:

Starting point  Walking Driving
Lunch       0   8   4
Shopping    0   7   3
Coffee      0   5   2

Where I want to draw, for each index, a green line from "Starting point" -> "Walking", and a red line from "Starting point" -> "Coffee". To do this, I loop through both the columns and the index, as such:

for column in df7.columns:
  for idx in df7.index:
    fig9.add_trace(
      go.Scatter(

        # chart
        # chart
        # chart

      )
    )

Which gives me the following chart of two lines, colored by cycle, overlapping.

The question is: how can I modify the code in plotly python to create jitter in the y axis for the lines of different cycles? In other words, the shorter line will be above the longer line.

Full MRE:

df7 = pd.DataFrame({
    'Starting point': [0, 0, 0],
    'Walking': [8, 7, 5],
    'Biking': [4, 3, 2]
}, index=['Lunch', 'Shopping', 'Coffee'])

fig9 = go.Figure()

color_cyc = cycle(["#888888", "#E2062B"])
symbol_cyc = cycle(["diamond", "cross"])

for column in df7.columns:
  color=next(color_cyc)
  for idx in df7.index:
    fig9.add_trace(
      go.Scatter(
        y=[idx] * len(df7.loc[idx, ["Starting point", column]]),
        x=df7.loc[idx, ["Starting point", column]],
        showlegend=False,
        mode="lines+markers",
        marker={
          "color": color,
          "symbol": "diamond",
          # "jitter": 0.4,
        },
      ),
    )

fig9

Thanks very much.

Answer

Try to use offset and then enumerate

import pandas as pd
import plotly.graph_objects as go
from itertools import cycle

df7 = pd.DataFrame({
    'Starting point': [0, 0, 0],
    'Walking': [8, 7, 5],
    'Biking': [4, 3, 2]
}, index=['Lunch', 'Shopping', 'Coffee'])

fig9 = go.Figure()

color_cyc = cycle(["#888888", "#E2062B"])
symbol_cyc = cycle(["diamond", "cross"])

col_offsets = {'Walking': 0.15, 'Biking': -0.15}

for column in ['Walking', 'Biking']:
    color = next(color_cyc)
    offset = col_offsets[column]
    for i, idx in enumerate(df7.index):
        y_val = i + offset
        fig9.add_trace(
            go.Scatter(
                y=[y_val, y_val],
                x=[df7.loc[idx, "Starting point"], df7.loc[idx, column]],
                showlegend=False,
                mode="lines+markers",
                marker=dict(
                    color=color,
                    symbol="diamond"
                ),
                line=dict(color=color)
            )
        )

fig9.update_yaxes(
    tickvals=list(range(len(df7.index))),
    ticktext=list(df7.index)
)

fig9.show()

Output: