Data visualization scripts

scripts/data_viz.py

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

scripts/requirements.txt

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+dash
+pandas

scripts/table.py

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+# -*- coding: utf-8 -*-
+import dash
+import dash_core_components as dcc
+import dash_html_components as html
+import pandas as pd
+
+external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
+
+app = dash.Dash(__name__, external_stylesheets=external_stylesheets)
+
+students = pd.read_csv('../data/students.csv')
+
+def generate_table(dataframe, max_rows=300):
+    return html.Table(
+        # Header
+        [html.Tr([html.Th(col) for col in dataframe.columns])] +
+
+        # Body
+        [html.Tr([
+            html.Td(dataframe.iloc[i][col]) for col in dataframe.columns
+        ]) for i in range(min(len(dataframe), max_rows))]
+    )
+
+app.layout = html.Div(children=[
+    html.H1(children='Hetic console'),
+
+    html.Div(children='''
+        Agrégateur d'OSINT pour l'intranet d'HETIC, OGP et OGI compris.
+    '''),
+
+    generate_table(students)
+])
+
+if __name__ == '__main__':
+    app.run_server(debug=False)