57 lines
1.9 KiB
Python
57 lines
1.9 KiB
Python
# -*- coding: utf-8 -*-
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import dash
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import dash_core_components as dcc
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import dash_html_components as html
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import pandas as pd
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external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
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app = dash.Dash(__name__, external_stylesheets=external_stylesheets)
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students = pd.read_csv('../data/students.csv')
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nb2015 = len(students[students.promotion.isin([2015])])
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nb2016 = len(students[students.promotion.isin([2016])])
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nb2017 = len(students[students.promotion.isin([2017])])
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nb2018 = len(students[students.promotion.isin([2018])])
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nb2019 = len(students[students.promotion.isin([2019])])
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nb2020 = len(students[students.promotion.isin([2020])])
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nb2021 = len(students[students.promotion.isin([2021])])
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app.layout = html.Div(children=[
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html.H1(children='Hetic console'),
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html.Div(children='''
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Agrégateur d'OSINT pour l'intranet d'HETIC, OGP et OGI compris.
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'''),
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dcc.Graph(
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id='graph1',
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figure={
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'data': [
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{'x': ['P2015', 'P2016', 'P2017', 'P2018', 'P2019', 'P2020', 'P2021'], 'y': [nb2015, nb2016, nb2017, nb2018, nb2019, nb2020, nb2021], 'type': 'bar', 'name': 'Étudiants'},
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],
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'layout': {
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'title': 'Évolution du nombre d\'étudiants dans chaque promotions'
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}
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}
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),
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dcc.Graph(
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id='graph2',
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figure={
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'data': [
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{'x': ['P2019', 'P2020', 'P2021'], 'y': [120, 110, 98], 'type': 'bar', 'name': 'WEB1'},
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{'x': ['P2019', 'P2020', 'P2021'], 'y': [80, 90, 88], 'type': 'bar', 'name': 'WEB2'},
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{'x': ['P2019', 'P2020', 'P2021'], 'y': [74, 86, 81], 'type': 'bar', 'name': 'WEB3'},
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],
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'layout': {
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'title': 'Évolution du nombre d\'étudiants dans chaque promotions par cursus'
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}
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}
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)
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])
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if __name__ == '__main__':
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app.run_server(debug=False)
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