Paris real estate prices since 1996

Published on

September 3, 2020

Updated on

May 8, 2023

The graph below shows the quarterly evolution of prices per square meter, by “arrondissement” since 1996, based on data from the Notaires de Paris.

super-embed:
<iframe src="https://storage.googleapis.com/charlse/charlse/paris_estate.html" width="760" height="420"><iframe>

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Plotly code

# Plot evolution

## All arrondissements
fig = px.line(
    df.loc[lambda x: x['Arrondissement'] != 'Paris'], 
    x='Quarter', y='Price', color='Arrondissement'
)

## Labels
for each_trace in fig.data:
    each_trace['customdata'] = [each_trace['name']] * len(each_trace['x'])

fig.update_traces(
    hovertemplate='<b>%{customdata}</b>: %{y:d} € <extra>%{x}</extra>', 
    showlegend=True, 
    line=dict(width=2, color='lightsteelblue'),
)

## Layout setup
fig.update_layout(
    height=400, width=740,
    margin=dict(l=60, r=0, b=20, t=0),
    font=dict(family='Arial'),
    xaxis={
        'title': None, 
        'tickvals': list(range(0, len(df['Quarter'].unique()), 4)),
        'ticktext': df['Year'].unique()
    },
    yaxis={
        'title': None, 
        'tickformat': ':0d', 
        'ticksuffix': ' € '
    },
    showlegend=False
)
## Add colored line for Paris
fig.add_trace(go.Scattergl(
    x=df.loc[lambda x: x['Arrondissement'] == 'Paris', 'Quarter'],
    y=df.loc[lambda x: x['Arrondissement'] == 'Paris', 'Price'],
    mode='lines', line=dict(width=3, color='firebrick'),
    hovertemplate='<b>Paris</b>: %{y:d} € <extra>%{x}</extra>', 
    name='Paris'
))

# Display result
fig.show()