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Links to data download per year, labels, number formatting

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Colin Maudry
2022-01-29 16:57:22 +01:00
parent 648e28f269
commit d6d081af5c
1 changed files with 21 additions and 6 deletions
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dash/app.py
+21 -6
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@@ -8,6 +8,8 @@ from os import getenv
app = dash.Dash("trackdechets-public-stats", title='DECP.info : statistiques', external_stylesheets=[dbc.themes.GRID])
pio.templates.default = "none"
SIRET = '20004525000012'
df_marches: pd.DataFrame = pd.read_csv(
'https://decp.info/db/decp-sans-titulaires.csv?_sort=uid&acheteur.id__exact=20004525000012&_size=max&_dl=1',
true_values=['oui'],
@@ -17,26 +19,39 @@ df_marches['anneeNotification'] = df_marches['dateNotification'].str[:4]
df_attributions: pd.DataFrame = pd.read_csv(
'https://decp.info/db/decp.csv?_sort=uid&acheteur.id__exact=20004525000012&_size=max&_dl=1',
f'https://decp.info/db/decp.csv?_sort=uid&acheteur.id__exact={SIRET}&_size=max&_dl=1',
true_values=['oui'],
false_values=['non'])
# df_attributions = df_attributions[df_attributions['donneesActuelles'] == 'oui']
df_attributions['anneeNotification'] = df_attributions['dateNotification'].str[:4]
def fn(input_number) -> str:
return '{:,.0f}'.format(input_number).replace(',', ' ')
def generateYears(years: list) -> [dbc.Row]:
result = []
for year in years:
print(year)
df_marches_year = df_marches[df_marches['anneeNotification'] == year]
df_attributions_year = df_attributions[df_attributions['anneeNotification'] == year]
row = dbc.Row([
dbc.Col([
dbc.Row([html.H3(year)]),
dbc.Row([
dbc.Col(html.P(df_marches_year.index.size)),
dbc.Col(html.P(str(df_marches_year['montant'].sum()) + ' euros')),
dbc.Col(html.P(str(df_attributions_year['titulaire.id'].unique().size)))
html.H3(year),
html.A('Télécharger les données', href=f'https://decp.info/db/decp?_sort=rowid&dateNotification__'
f'startswith={year}&acheteur.id__exact={SIRET}')
]),
dbc.Row([
dbc.Col([
html.H4('Marchés attribués'),
html.P(df_marches_year.index.size)]),
dbc.Col([
html.H4('Montant total attribué'),
html.P(fn(df_marches_year['montant'].sum()) + ' euros')]),
dbc.Col([
html.H4('Titulaires différents'),
html.P(str(df_attributions_year['titulaire.id'].unique().size))])
])
])
])