Trouble updating plotly express chloropleth_mapbox using slider value

Hi,

I am having trouble updating a plotly express chloropleth mapbox with a slider value (in this case it is weeks) . Please see code below:

import dash
import dash_html_components as html
import dash_core_components as dcc
import plotly.graph_objects as go
import plotly.express as px
import pandas as pd
import numpy as np
from dash.dependencies import Input, Output, State
import pathlib
import json
#read data

DATA_PATH = pathlib.Path(__file__).parent.joinpath("data")
ASSET_PATH = pathlib.Path(__file__).parent.joinpath("assets")

df = pd.read_csv(DATA_PATH.joinpath('excess_deaths_uk_w51.csv'))
#list of LADs for graphs:
lads= df['Area_Name'].unique().tolist()
#df for chloropleth (without england and wales)
df_maps=df[~df['Area_Name'].isin(['Wales', 'England'])]
#list of lads for map:
areas= df_maps['Area_Name'].unique().tolist()
#create a week '53' row to represent the whole year
for l in areas:
    new_row = {'Area_Code': list(df_maps[df_maps['Area_Name'] == l]['Area_Code'])[0], 
               'Area_Name': l, 
              'Week_Number':53, 
               'reg_deaths_15':np.sum(df_maps[df_maps['Area_Name'] == l]['reg_deaths_15']),
               'reg_deaths_16':np.sum(df_maps[df_maps['Area_Name'] == l]['reg_deaths_16']), 
                'reg_deaths_17':np.sum(df_maps[df_maps['Area_Name'] == l]['reg_deaths_17']),
                'reg_deaths_18':np.sum(df_maps[df_maps['Area_Name'] == l]['reg_deaths_18']), 
                'reg_deaths_19': np.sum(df_maps[df_maps['Area_Name'] == l]['reg_deaths_19']),
       'avg_reg_deaths_15_19':np.sum(df_maps[df_maps['Area_Name'] == l]['avg_reg_deaths_15_19']),
        'reg_deaths_20': np.sum(df_maps[df_maps['Area_Name'] == l]['reg_deaths_20']), 
        'Excess_2020_from_avg':np.sum(df_maps[df_maps['Area_Name'] == l]['Excess_2020_from_avg']),
       'estimated_2019_pop': list(df_maps[df_maps['Area_Name'] == l]['estimated_2019_pop'])[0],
        'excess_deaths_per_100t_20': np.sum(df_maps[df_maps['Area_Name'] == l]['excess_deaths_per_100t_20'])}
    #append row to the dataframe
    df_maps = df_maps.append(new_row, ignore_index=True)
#VERY IMPORTANT: create a column in the df_maps that has the name 'lad17nm' which corresponds to the json file name:
df_maps['lad17nm']=df_maps['Area_Name']
df_maps['lad17cd']=df_maps['Area_Code']
#list of weeks:
weeks= df_maps['Week_Number'].unique().tolist()
# get geojson for the choropleth
with open(ASSET_PATH.joinpath('Local_Authority_Districts_(December_2017)_Generalised_Clipped_Boundaries_in_Great_Britain.geojson')) as f:
    const = json.load(f)
#initialise the app:

app = dash.Dash(__name__)
app.config.suppress_callback_exceptions = True

#define layout
app.layout = html.Div(className='ten columns div-for-charts bg-grey',
                             children=[
                                     html.H1(f'Excess deaths per week of 2020'),
                                     html.Div(
                                        id="slider-container",
                                        children=[
                                                html.P(
                                                id="slider-text",
                                                children="Drag the slider to change the week:"),
                                                dcc.Slider(
                                                    id="weeks-slider",
                                                    min=min(weeks),
                                                    max=max(weeks),
                                                    value=max(weeks),
                                                    marks={
                                                        str(w): {
                                                        "label": str(w),
                                                        "style": {"color": "#7fafdf", 'font-family':'Roboto'},} for w in weeks})
                                                        ]),
                                                        html.H3(f'Excess deaths in week {weeks}.', id='title_weeks'),
                                                        dcc.Graph(id='map', config={'displayModeBar': False}, animate=True)
                             ])


# Callback for map deaths
@app.callback(Output('map', 'figure'),
              [Input('weeks-slider', 'value')])
def update_map(selected_value):
    df=df_maps[df_maps['Week_Number'] == selected_value]
    figure=px.choropleth_mapbox(df, geojson=const, color="excess_deaths_per_100t_20", color_continuous_scale="Oryel",
                    locations='lad17cd', featureidkey="properties.lad17cd",labels={'excess_deaths_per_100t_20':'Excess deaths per 100,000'}, hover_name='lad17nm',
                    opacity=0.7, range_color=[-220, 280],
                   center={"lat": 53.329844, "lon": -0.12574}, mapbox_style="stamen-toner", zoom=6
                  )
    figure.update_layout(margin={"r":0,"t":0,"l":0,"b":0},
        template='plotly_dark',
        paper_bgcolor='rgba(0, 0, 0, 0)',
                #   margin={'b': 15},
        legend_title="Excess deaths per 100,000",
    font=dict(
        family="Roboto",
        size=20,
        color="grey"),
    # width=800,
    height=1000

)
    return figure


#callback map title    
@app.callback(Output('title_weeks', 'children'),
            [Input('weeks-slider', 'value')])
def update_map_title(selected_value):
    return f'Excess deaths in week {selected_value}.'


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

The text in the title of the map does change, however the chloropleth stays the same. I can’t really see what I am doing wrong, can anybody help, please?

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