Feat: Clean empty fig
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09ac9f01f8
commit
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@ -42,7 +42,7 @@ app.layout = html.Div(
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color="success",
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dark=True,
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),
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html.Br(),
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html.H2("Choix de l'évaluation"),
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dbc.Row(
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[
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dbc.Col(
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@ -66,16 +66,16 @@ app.layout = html.Div(
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),
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],
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),
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html.Br(),
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html.H2("Résultats"),
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dbc.Row(
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[
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dbc.Col(
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dash_table.DataTable(
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id="final_score_table",
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columns=[
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{"id": "Élève", "name": "Élève"},
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{"id": "Eleve", "name": "Élève"},
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{"id": "Note", "name": "Note"},
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{"id": "Barème", "name": "Barème"},
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{"id": "Bareme", "name": "Barème"},
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],
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data=[],
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style_data_conditional=[
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@ -118,8 +118,8 @@ app.layout = html.Div(
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),
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],
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),
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html.Br(),
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html.Div(
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html.H2("Édition des notes"),
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dbc.Row(
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[
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dash_table.DataTable(
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id="scores_table",
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@ -134,6 +134,7 @@ app.layout = html.Div(
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dbc.Button("Ajouter un élément", id="btn_add_element"),
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]
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),
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html.H2("Actions"),
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dcc.Store(id="final_score"),
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]
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)
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@ -219,7 +220,7 @@ def update_final_scores_hist(data):
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assessment_scores = pd.DataFrame.from_records(data)
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if assessment_scores.empty:
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return [{}]
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return [{'data': [], 'layout':[]}]
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ranges = np.linspace(
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0, assessment_scores.Bareme.max(), int(assessment_scores.Bareme.max() * 2 + 1)
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@ -264,7 +265,7 @@ def update_competence_fig(data):
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scores = flat_df_students(scores).dropna(subset=["Score"])
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if scores.empty:
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return [{}]
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return [{'data': [], 'layout':[]}]
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scores = pp_q_scores(scores)
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pt = pd.pivot_table(
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