Changed behaviour in dash 2.18.2 using numpy 1.26.4 when reading figure into callback on linux

Dash Python
5

No problem, please run this dash example below and press “Print Data”.

Output with plotly 5.24.1 installed:
X values: [1, 2, 3, 4, 5]
Y values: [2, 1.5, 3.5, 2, 5]

Output with plotly 6.0.0 installed:
X values: {‘dtype’: ‘f8’, ‘bdata’: ‘AAAAAAAA8D8AAAAAAAAAQAAAAAAAAAhAAAAAAAAAEEAAAAAAAAAUQA==’, ‘_inputArray’: {‘0’: 1, ‘1’: 2, ‘2’: 3, ‘3’: 4, ‘4’: 5, ‘bdata’: ‘AAAAAAAA8D8AAAAAAAAAQAAAAAAAAAhAAAAAAAAAEEAAAAAAAAAUQA==’, ‘dtype’: ‘f8’, ‘shape’: ‘5’}}
Y values: {‘dtype’: ‘f8’, ‘bdata’: ‘AAAAAAAAAEAAAAAAAAD4PwAAAAAAAAxAAAAAAAAAAEAAAAAAAAAUQA==’, ‘_inputArray’: {‘0’: 2, ‘1’: 1.5, ‘2’: 3.5, ‘3’: 2, ‘4’: 5, ‘bdata’: ‘AAAAAAAAAEAAAAAAAAD4PwAAAAAAAAxAAAAAAAAAAEAAAAAAAAAUQA==’, ‘dtype’: ‘f8’, ‘shape’: ‘5’}}

Dash example:

import dash
from dash import dcc, html, Input, Output, State
import plotly.graph_objs as go
import numpy as np

# Initialize the Dash app
app = dash.Dash(__name__)

# Create some sample data using numpy
x_data = np.array([1.0, 2.0, 3.0, 4.0, 5.0])
y_data = np.array([2.0, 1.5, 3.5, 2.0, 5.0])

# Define the layout of the app
app.layout = html.Div([
    dcc.Graph(id='scatter-plot'),
    html.Button('Generate Plot', id='generate-button', n_clicks=0),
    html.Button('Print Data', id='print-button', n_clicks=0)
])

# Callback to generate the ScatterGL plot
@app.callback(
    Output('scatter-plot', 'figure'),
    Input('generate-button', 'n_clicks')
)
def update_figure(n_clicks):
    # Create a ScatterGL trace
    trace = go.Scattergl(
        x=x_data,
        y=y_data,
        mode='markers',
        marker=dict(size=10, color='blue')
    )
    
    # Create the figure
    fig = go.Figure(data=[trace])
    fig.update_layout(title='ScatterGL Plot', xaxis_title='X Axis', yaxis_title='Y Axis')
    
    return fig

# Callback to print the x and y data from the figure
@app.callback(
    Output('print-button', 'children'),
    Input('print-button', 'n_clicks'),
    State('scatter-plot', 'figure')
)
def print_data(n_clicks, figure):
    if n_clicks > 0 and figure is not None:
        # Extract the x and y data from the figure
        x_values = figure['data'][0]['x']
        y_values = figure['data'][0]['y']
        
        # Print the x and y values
        print("X values:", x_values)
        print("Y values:", y_values)
    
    return "Print Data"

# Run the app
if __name__ == '__main__':
    app.run_server(debug=True)