data and view not updating when using nested rows and columns

[TermeHansen]

Describe the bug
on cell change can be used to grab curtain changes and set to something else programmatically. This however does not work with nested rows and columns for some reason...

To Reproduce
Based on nested hierarchies example (https://github.com/bloomberg/ipydatagrid/blob/main/examples/Nested%20Hierarchies.ipynb):

import ipydatagrid as ipg
import pandas as pd
import numpy as np

# Columns
col_top_level = [
    "VeryLongValueFactors",
    "VeryLongValueFactors",
    "Even Longer Momentum Factors",
    "Even Longer Momentum Factors",
]
col_bottom_level = ["Factor_A", "Factor_B", "Factor_C", "Factor_D"]

# Rows
row_top_level = ["Sector 1", "Sector 1", "Sector 2", "Sector 2"]
row_bottom_level = ["Security A", "Security B", "Security C", "Security D"]

header_renderer = ipg.TextRenderer(
    background_color="moccasin",
    text_color="navy",
    vertical_alignment="top",
    horizontal_alignment="center",
)

default_renderer = ipg.TextRenderer(
    text_color=ipg.VegaExpr("cell.value <= 0 ? 'purple' : 'green'")
)

simple_df = pd.DataFrame(
    np.array([range(4)]*4),
)

nested_df = pd.DataFrame(
    np.array([range(4)]*4),
    columns=pd.MultiIndex.from_arrays([col_top_level, col_bottom_level]),
    index=pd.MultiIndex.from_arrays(
        [row_top_level, row_bottom_level], names=("Sector", "Ticker")
    ),
)

Expected behavior
Simple grid works as expected:

def on_cell_changed(cell):
    if float(cell['value']) == 15.0:
        simple_grid.set_cell_value_by_index(0,0, -15)
    print(
        "Cell at primary key {row} and column '{column}' ({column_index}) changed to {value}".format(
            row=cell["row"],
            column=cell["column"],
            column_index=cell["column_index"],
            value=cell["value"],
        )
    )

simple_grid = ipg.DataGrid(
    simple_df,
    layout={"height": "150px"},
    editable=True,
)
simple_grid.on_cell_change(on_cell_changed)
simple_grid

Change the first cell to 15, and it will be changed to -15 as well as the dataframe behind

Problem
Doing the same with the nested_grid does not work
def on_cell_changed(cell):

def on_cell_changed(cell):
    if float(cell['value']) == 15.0:
        nested_grid.set_cell_value_by_index(cell["row"],cell["column_index"], -15)
        print('set value')
    print(
        "Cell at primary key {row} and column '{column}' ({column_index}) changed to {value}".format(
            row=cell["row"],
            column=cell["column"],
            column_index=cell["column_index"],
            value=cell["value"],
        )
    )

nested_grid = ipg.DataGrid(
    nested_df,
    layout={"height": "150px"},
    editable=True,
)
nested_grid.on_cell_change(on_cell_changed)
nested_grid

Environment (please complete the following information):
Ubuntu 22.40
jupyterlab 4.2.0
ipydatagrid 1.3.1