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Fix: get back exam graphs

This commit is contained in:
Bertrand Benjamin 2021-01-21 14:01:57 +01:00
parent 412e624791
commit eb1abbe868
1 changed files with 49 additions and 37 deletions
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86
recopytex/dashboard/exam_analysis/app.py
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@ -11,7 +11,6 @@ from pathlib import Path
from datetime import datetime
import pandas as pd
import numpy as np
import dash_bootstrap_components as dbc
from ... import flat_df_students, pp_q_scores
@ -75,40 +74,53 @@ layout = html.Div(
),
html.Div(
[
"Evaluation: ",
dbc.Select(id="csv"),
]
),
],
),
html.H2("Résultats"),
dbc.Row(
[
dbc.Col(
dash_table.DataTable(
id="final_score_table",
columns=[
{"id": "Eleve", "name": "Élève"},
{"id": "Note", "name": "Note"},
{"id": "Bareme", "name": "Barème"},
],
data=[],
style_data_conditional=[
{
"if": {"row_index": "odd"},
"backgroundColor": "rgb(248, 248, 248)",
}
],
style_header={
"backgroundColor": "rgb(230, 230, 230)",
"fontWeight": "bold",
},
style_data={
"width": "100px",
"maxWidth": "100px",
"minWidth": "100px",
},
)
html.Div(
dash_table.DataTable(
id="final_score_table",
columns=[
{"id": "Élève", "name": "Élève"},
{"id": "Note", "name": "Note"},
{"id": "Barème", "name": "Barème"},
],
data=[],
style_data_conditional=[
{
"if": {"row_index": "odd"},
"backgroundColor": "rgb(248, 248, 248)",
}
],
style_data={
"width": "100px",
"maxWidth": "100px",
"minWidth": "100px",
},
),
id="final_score_table_container",
),
html.Div(
[
dash_table.DataTable(
id="final_score_describe",
columns=[
{"id": "count", "name": "count"},
{"id": "mean", "name": "mean"},
{"id": "std", "name": "std"},
{"id": "min", "name": "min"},
{"id": "25%", "name": "25%"},
{"id": "50%", "name": "50%"},
{"id": "75%", "name": "75%"},
{"id": "max", "name": "max"},
],
),
dcc.Graph(
id="fig_assessment_hist",
),
dcc.Graph(id="fig_competences"),
],
id="desc_plots",
),
],
id="analysis",
),
html.Div(
[
@ -218,7 +230,7 @@ def update_final_scores_hist(data):
assessment_scores = pd.DataFrame.from_records(data)
if assessment_scores.empty:
return [{'data': [], 'layout':[]}]
return [{"data": [], "layout": []}]
ranges = np.linspace(
-0.5,
@ -265,7 +277,7 @@ def update_competence_fig(data):
scores = flat_df_students(scores).dropna(subset=["Score"])
if scores.empty:
return [{'data': [], 'layout':[]}]
return [{"data": [], "layout": []}]
scores = pp_q_scores(scores)
pt = pd.pivot_table(