customdata parsed incorrectly when array contains more than 1 column in piechart

When using more than one column to define customdata, the data seems to be parsed as a tuple.
The example below shows three versions of the same figure:

• LEFT. Only one column of customdata. Works as expected.
• CENTER. Two columns of customdata. The first column in customdata is not parsed correctly when using a :.1s format. The second column in customdata is not parsed correctly by hovertemplate in go.Pie but is parsed correctly by texttemplate.
• RIGHT. Workaround using customdata as a tuple and selecting its first %{customdata[0][0]} and second %{customdata[0][1]} values accordingly.

import pandas as pd
import plotly.graph_objects as go
from plotly.subplots import make_subplots

df = pd.DataFrame({
    'country': ['A', 'B', 'C'],
    'count':   [10, 20, 30],
    'total': [1.5e5, 4.5e4, 3.2e3],
    'ratio': [0.05, 0.10, 0.15]
})

fig = make_subplots(rows=1, cols=3, specs=[[{"type": "domain"}, {"type": "domain"}, {"type": "domain"}]])

# customdata parsed correctly with only one column
fig.add_trace(go.Pie(
    labels=df['country'],
    values=df['count'],
    customdata=df[['total']], # 1 column
    hovertemplate=(
        'Country: %{label}<br>'
        'Count: %{value}<br>'
        'Total documents: %{customdata[0]:.1s}'),
    hole=0.3
),
row=1, col=1)

# Problem with customdata
fig.add_trace(go.Pie(
    labels=df['country'],
    values=df['count'],
    customdata=df[['total', 'ratio']], # >1 columns
    hovertemplate=(
        'Country: %{label}<br>'
        'Count: %{value}<br>'
        'Total documents: %{customdata[0]:.1s}<br>'
        'Ratio: %{customdata[1]:.2f}'),
    texttemplate = "%{customdata[1]:.2p}", # correctly parsed
    hole=0.3
),
row=1, col=2)

# Workaround
fig.add_trace(go.Pie(
    labels=df['country'],
    values=df['count'],
    customdata=df[['total', 'ratio']], # >1 columns
    hovertemplate=(
        'Country: %{label}<br>'
        'Count: %{value}<br>'
        'Total documents: %{customdata[0][0]:.1s}<br>' # as tuple
        'Ratio: %{customdata[0][1]:.2f}'),
    texttemplate = "%{customdata[1]:.2p}",  # correctly parsed
    hole=0.3
),
row=1, col=3)

fig.show()

Tested using:
Plotly.py: 6.0.1
Pandas: 2.1.4

Comienza ejecutando la reproducción proporcionada de Plotly.py y Pandas, y luego rastrea cómo se pasa customdata de varias columnas al formateo de hovertemplate de los pie charts. El trabajo está terminado cuando ambas columnas de customdata se renderizan con los formatos solicitados sin tuple-style indexing, mientras que el caso de una columna y el comportamiento de texttemplate siguen siendo correctos.