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[PYBD] Clément BIEBER & Mohamed-Jordan SOUMANO - Evolution du taux de natalité en France de 1970 à 2020 #84

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[PYBD] Clément BIEBER & Mohamed-Jordan SOUMANO - Evolution du taux de natalité en France de 1970 à 2020 #84

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5184def
poetry setup
ClementBieber Apr 12, 2022
b05f8d9
gitignore modified
ClementBieber May 2, 2022
ffa6650
deleted poetry.lock
ClementBieber May 2, 2022
716235d
gitignore change
ClementBieber May 5, 2022
3d0b9c6
maps 2 version
ClementBieber May 7, 2022
075f99d
lot of changes
ClementBieber May 8, 2022
a16787b
map moving in time
ClementBieber May 8, 2022
b34da43
preparing to rendu
ClementBieber May 8, 2022
f450f12
c chaud
ClementBieber May 8, 2022
81795f8
fix get_data
ClementBieber May 8, 2022
3051a11
refonte de laffichage
ClementBieber May 9, 2022
c43fc88
ready to rendu
ClementBieber May 9, 2022
3275b26
data/ links
ClementBieber May 9, 2022
c6d1a92
fix
ClementBieber May 9, 2022
1dd5825
label fix
ClementBieber May 9, 2022
f1bf931
add .pkl file
ClementBieber May 9, 2022
df6b4cd
merge from upstream fork oricou/delta
ClementBieber Jun 4, 2022
eb566d0
[FIX] path issues with absolute simlinks
ClementBieber Jun 4, 2022
a5d2336
[FIX] get_data path fixes
ClementBieber Jun 4, 2022
41b3d81
[FIX] trying to rerun from scratch due to not validated PR
ClementBieber Jun 22, 2022
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7 changes: 7 additions & 0 deletions .gitignore
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Expand Up @@ -7,6 +7,13 @@ __pycache__/
*.py[cod]
*$py.class

.idea/
*.ipynb

# Poetry
poetry.lock
pyproject.toml

# C extensions
*.so

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239 changes: 239 additions & 0 deletions CB_MJS_naissance_deces_france/birth_map.py
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import pandas as pd
import dash
from dash import html
from dash import dcc

import plotly.express as px
import json


class Birth_Map:
START = 'Start'
STOP = 'Stop'

def __init__(self, application=None):

folder = 'CB_MJS_naissance_deces_france/'
self.df_naiss = pd.read_pickle(folder + 'data/naissances_par_dep_1970_2020.pkl')
self.df_pop = pd.read_pickle(folder + 'data/population_dep_1968_2018.pkl')
self.years = sorted(set(self.df_naiss.index.values))
self.year = self.years[0]
self.df_dict = {}
self.departements = json.load(open(folder + 'data/departements-avec-outre-mer.geojson'))

for year in self.df_naiss.index.values:
self.df_dict.update({year: pd.read_pickle(folder + f'data/population_birth_rate/{year}.pkl')})

self.main_layout = html.Div(id='main-layout-page', children=[

html.Div('Carte du taux de natalité par départements en France de 1970 à 2020'),
html.Div([
html.Div([dcc.Graph(id='map-selected-year'), ], style={'width': '90%', }),

html.Div([
html.Br(),
html.Br(),
html.Br(),
html.Br(),
html.Br(),
html.Div(id='selected-year-slider', ),
html.Br(),
html.Br(),
html.Br(),
html.Br(),
html.Br(),
html.Br(),
html.Button(
self.START,
id='bmap-button-start-stop',
style={'display': 'inline-block'}
),

], style={'margin-left': '15px', 'width': '7em', 'float': 'right'}),

], style={
'padding': '10px 50px',
'display': 'flex',
'justifyContent': 'center'
}),
html.Div([
html.Div(
dcc.Slider(
id='map-year-slider',
min=self.years[0],
max=self.years[-1],
step=1,
value=self.years[0],
marks={str(year): str(year) for year in self.years[::5]},
),
style={'display': 'inline-block', 'width': "90%"}
),
dcc.Interval( # fire a callback periodically
id='bmap-auto-stepper',
interval=5000, # in milliseconds
disabled=False,
max_intervals=-1, # start running
n_intervals=0
),
], style={
'padding': '0px 50px',
'width': '100%'
}),

html.Div([
dcc.Graph(id='bmap-population-graph',
style={'width': '50%', 'display': 'inline-block'}),
dcc.Graph(id='bmap-naissances-graph',
style={'width': '50%', 'display': 'inline-block', 'padding-left': '0.5%'}),
], style={'display': 'flex',
'height': '40vh',
'borderTop': 'thin lightgrey solid',
'borderBottom': 'thin lightgrey solid',
'justifyContent': 'center', }),

html.Br(),
html.Br(),

dcc.Markdown("""
Déplacez le slider pour afficher la carte de l'année correspondante, ou laissez le avancer tout seul.
Survolez un département avec votre souris pour afficher plus d'informations et les graphiques correspondants.

Note:
* Le taux de natalité correspond au nombre de naissances par rapport au nombre total de la population
* Lecture: une couleur foncé signifie un faible taux de natalité (peu de naissances par rapport à la population), une couleur claire un haut taux de natalité.
* En 1970, le taux de natalité dans le département de la Cher (18) est de 12,3 pour 1000. La population y est de 304400 et les naissances sur l'année s'élèvent à 3759.

A noter que les données sources des naissances sont celle des prénoms attribués sur l'année,
mais qu'elle est présentée comme ne présentant pas d'écart significatifs aux naissances sur l'année
à partir de 1946 [sur le site de l'INSEE.](https://www.insee.fr/fr/statistiques/2540004?sommaire=4767262#documentation).
Cependant, au vu de l'incohérence de ces données avec d'autres que j'ai pu trouvé sur des années spécifique,
les valeurs pour les naissances annuelles sont à prendre avec précaution.

A Propos:
* Sources:
* Naissances: https://www.insee.fr/fr/statistiques/2540004?sommaire=4767262
* Population: https://www.insee.fr/fr/statistiques/1893204#consulter.
* (c) 2022 Clément BIEBER & Mohamed-Jordan SOUMANO

"""),
], style={
'backgroundColor': 'white',
'padding': '10px 50px'
}
)

if application:
self.app = application
# application should have its own layout and use self.main_layout as a page or in a component
else:
self.app = dash.Dash(__name__)
self.app.layout = self.main_layout

self.app.callback(
dash.dependencies.Output('map-selected-year', 'figure'),
dash.dependencies.Input('map-year-slider', 'value'))(self.update_map)

self.app.callback(
dash.dependencies.Output('selected-year-slider', 'children'),
dash.dependencies.Input('map-year-slider', 'value'))(self.update_year)

self.app.callback(
dash.dependencies.Output('bmap-button-start-stop', 'children'),
dash.dependencies.Input('bmap-button-start-stop', 'n_clicks'),
dash.dependencies.State('bmap-button-start-stop', 'children'))(self.button_on_click)
# this one is triggered by the previous one because we cannot have 2 outputs for the same callback
self.app.callback(
dash.dependencies.Output('bmap-auto-stepper', 'disabled'),
[dash.dependencies.Input('bmap-button-start-stop', 'children')])(self.run_movie)
# triggered by previous
self.app.callback(
dash.dependencies.Output('map-year-slider', 'value'),
dash.dependencies.Input('bmap-auto-stepper', 'n_intervals'),
[dash.dependencies.State('map-year-slider', 'value'),
dash.dependencies.State('bmap-button-start-stop', 'children')])(self.on_interval)

self.app.callback(
dash.dependencies.Output('bmap-population-graph', 'figure'),
dash.dependencies.Input('map-selected-year', 'hoverData'))(self.update_pop_graph)
self.app.callback(
dash.dependencies.Output('bmap-naissances-graph', 'figure'),
dash.dependencies.Input('map-selected-year', 'hoverData'))(self.update_naiss_graph)

def update_year(self, year):
self.year = year
return f'Année selectionnée {self.year}'

def update_map(self, year):
if year == None:
year = self.year
year_df = self.df_dict.get(year)

fig = px.choropleth_mapbox(year_df, geojson=self.departements,
locations='DEP', featureidkey='properties.code', # join keys
color='tx_nat_p_1000',
hover_name='DEPNAME',
hover_data=['tx_nat_p_1000', 'naissances', 'Total'],
color_continuous_scale="Viridis",
mapbox_style="carto-positron",
zoom=4.6, center={"lat": 47, "lon": 2},
opacity=0.5,
labels={'DEP': 'Numéro du département',
'tx_nat_p_1000': 'Taux de natalité (pour 1000)',
'naissances': 'Nombre de naissances',
'Total': 'Population du département'}
)
fig.update_layout(margin={"r": 0, "t": 0, "l": 0, "b": 0})
return fig

def create_pop_graph(self, dep, depname):
df = self.df_pop.loc[self.df_pop.DEP == str(dep)]['Total'].reset_index()
return px.line(df, x='year', y='Total', title=f'Evolution de la population en {depname}',
labels={'year': 'Années', 'Total': 'Population'})

def update_pop_graph(self, hoverData):
if hoverData == None:
return self.create_pop_graph('01', 'Ain')
hover = hoverData['points'][0]
dep = hover['location']
depname = hover['hovertext']
return self.create_pop_graph(dep, depname)

def create_naiss_graph(self, dep, depname):
return px.line(self.df_naiss[dep], title=f'Evolution des naissances en {depname}',
hover_data=['value'],
labels={'annais': 'Années', 'value': 'Naissances', 'variable': 'Département'})

def update_naiss_graph(self, hoverData):
if hoverData == None:
return self.create_naiss_graph(1, 'Ain')
hover = hoverData['points'][0]
dep = hover['location']
depname = hover['hovertext']
try:
dep = int(dep)
except ValueError:
dep = 20
return self.create_naiss_graph(dep, depname)

# start and stop the movie
def button_on_click(self, n_clicks, text):
if text == self.START:
return self.STOP
else:
return self.START

# this one is triggered by the previous one because we cannot have 2 outputs
# in the same callback
def run_movie(self, text):
return text == self.START # if text is START (must stop), disabled = True


# see if it should move the slider for simulating a movie
def on_interval(self, n_intervals, year, text):
if text == self.STOP: # then we are running
if year == self.years[-1]:
return self.years[0]
else:
return year + 1
else:
return year # nothing changes
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