Py.Cafe

import pandas as pd
import numpy as np
import dash
from dash import dcc, html
from dash.dependencies import Input, Output
import plotly.express as px

df = pd.read_csv('Camps.csv')

# Estimated Jewish death counts per main camp
murder_dict = {
    'Auschwitz': 1100000,
    'Bergen-Belsen': 70000,
    'Buchenwald': 11800,
    'Dachau': 41500,
    'Flossenbürg': 30000,
    'Herzogenbusch': 749,
    'Hinzert': 1000,
    'Krakau-Plaszów': 8000,
    'Lublin': 78000,
    'Neuengamme': 42900,
    'Natzweiler-Struthof': 22000
}

# Map death counts and compute marker sizes (log scale)
df['MurderedJews'] = df['MAIN'].map(murder_dict)
# Compute marker sizes (log scale, minimum for zero)
min_size = 5
scale = 10
def size_func(x): return min_size if x == 0 else np.log10(x + 1) * scale
df['MarkerSize'] = df['MurderedJews'].apply(size_func)

# Additional camp info for click details
camp_info = {
    'Auschwitz': 'Largest complex: Auschwitz I, II–Birkenau, III–Monowitz.',
    'Bergen-Belsen': 'Initially POW camp, later concentration camp.',
    'Buchenwald': 'One of first and biggest German camps.',
    'Dachau': 'First Nazi camp opened 1933.',
    'Flossenbürg': 'Forced labor in quarries.',
    'Herzogenbusch': 'Only SS camp in occupied Netherlands.',
    'Hinzert': 'Smaller camp in western Germany.',
    'Krakau-Plaszów': 'Camp in occupied Poland.',
    'Lublin': 'Majdanek camp and death site.',
    'Neuengamme': 'Labor camp near Hamburg.',
    'Natzweiler-Struthof': 'Only camp on current French territory.'
}
df['CampInfo'] = df['MAIN'].map(camp_info).fillna('No additional info')

# List of unique main camps and map styles
df_valid = df[df['MurderedJews'] > 0]
main_camps = sorted(df_valid['MAIN'].unique())
options_main = ['All'] + main_camps

map_styles = {
    'OpenStreetMap': 'open-street-map',
    'Carto Light': 'carto-positron',
    'Carto Dark': 'carto-darkmatter'
}

app = dash.Dash(__name__, meta_tags=[{'name': 'viewport', 'content': 'width=device-width, initial-scale=1'}])
app.title = 'Holocaust Subcamp Dashboard'

app.layout = html.Div([
    html.H1(
        'Holocaust Subcamp Dashboard',
        style={'textAlign': 'center'}
    ),
    html.P(
        'Marker size = log-scale of total Jewish deaths in main camp.',
        style={'textAlign': 'center'}
    ),
    html.Div([
        html.Div([
            html.H4('Filters'),
            html.Label('Main Camps:'),
            dcc.Dropdown(
                id='main-filter',
                options=[{'label': c, 'value': c} for c in options_main],
                value=['All'],
                style={'color': 'black'},
                multi=True
            ),
            html.Br(),
            html.Label('Map Style:'),
            dcc.Dropdown(
                id='style-filter',
                options=[{'label': k, 'value': v} for k, v in map_styles.items()],
                value='open-street-map',
                style={'color': 'black'}
            ),
            html.Br(),
            html.Div(
                id='info-box',
                children='Click a marker for details.',
                style={'whiteSpace': 'pre-line'})
        ], style={'width': '25%', 'float': 'left', 'padding': '10px'}),
        html.Div([dcc.Graph(id='map', style={'height': '80vh'})], style={'width': '75%', 'float': 'right'})
    ], style={'display': 'flex'}),
    html.Footer(html.P(["Data sources: ",
        html.A('Auschwitz Museum', href='https://www.auschwitz.org/en/', target='_blank'), ', ',
        html.A('USHMM', href='https://www.ushmm.org/', target='_blank'), ', ',
        html.A('Holocaust Encyclopedia', href='https://encyclopedia.ushmm.org/', target='_blank'), ', ',
        html.A('Yad Vashem Collections', href='https://collections.yadvashem.org/', target='_blank')
    ]), style={'textAlign': 'center', 'fontSize': 'small', 'marginTop': '20px'})
])

@app.callback(
    Output('map', 'figure'),
    [Input('main-filter', 'value'), Input('style-filter', 'value')]
)
def update_map(selected, style):
    if selected and 'All' not in selected:
        d = df[df['MAIN'].isin(selected) & (df['MurderedJews'] > 0)]
    else:
        d = df[df['MurderedJews'] > 0]
    
    fig = px.scatter_mapbox(
        d,
        lat='LAT',
        lon='LONG',
        hover_name='SUBCAMP',
        hover_data={'MAIN': True, 'MurderedJews': True},
        custom_data=['MAIN','MurderedJews','CampInfo'],
        size='MarkerSize',
        color='MAIN',
        mapbox_style=style,
        zoom=4,
        center={'lat':50,'lon':15},
        title='Holocaust Subcamps: Main Camp Fatalities'
    )
    fig.update_layout(margin=dict(l=0,r=0,t=30,b=0), coloraxis_colorbar=dict(title='Main Camp'))
    
    return fig

@app.callback(
    Output('info-box', 'children'),
    Input('map', 'clickData')
)
def display_info(clickData):
    if not clickData:
        return 'Click a marker for details.'
    pt = clickData['points'][0]
    subcamp = pt['hovertext']
    cd = pt.get('customdata', [])
    main = cd[0] if len(cd)>0 else 'N/A'
    deaths = cd[1] if len(cd)>1 else 'N/A'
    info = cd[2] if len(cd)>2 else 'No additional info'
    return f"Subcamp: {subcamp}\nMain Camp: {main}\nDeaths in main Camp: {int(deaths):,}" if isinstance(deaths,(int,float)) else f"Subcamp: {subcamp}\nMain Camp: {main}\nDeaths: {deaths}\n{info}"

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