Feat: Score histogram

This commit is contained in:
Bertrand Benjamin 2021-04-20 19:13:14 +02:00
parent 1a7c97d869
commit 8cdeecfc53
2 changed files with 54 additions and 0 deletions

View File

@ -64,6 +64,14 @@ layout = html.Div(
], ],
id="score_statistics_table_container", id="score_statistics_table_container",
), ),
html.Div(
children=[
dcc.Graph(
id="fig_exam_histo",
)
],
id="fig_exam_histo_container",
),
], ],
id="analysis", id="analysis",
), ),

View File

@ -3,9 +3,11 @@
from dash.dependencies import Input, Output, State from dash.dependencies import Input, Output, State
from dash.exceptions import PreventUpdate from dash.exceptions import PreventUpdate
import plotly.graph_objects as go
import dash_table import dash_table
import json import json
import pandas as pd import pandas as pd
import numpy as np
from recopytex.dashboard.app import app from recopytex.dashboard.app import app
from recopytex.dashboard.common.formating import highlight_scores from recopytex.dashboard.common.formating import highlight_scores
@ -109,3 +111,47 @@ def update_statictics_table(finale_score):
[{"id": c, "name": c} for c in statistics.columns], [{"id": c, "name": c} for c in statistics.columns],
statistics.to_dict("records"), statistics.to_dict("records"),
] ]
@app.callback(
[
Output("fig_exam_histo", "figure"),
],
[
Input("final_score_table", "data"),
],
)
def update_exam_histo(finale_scores):
scores = pd.DataFrame.from_records(finale_scores)
if scores.empty:
return [go.Figure(data=[go.Scatter(x=[], y=[])])]
ranges = np.linspace(
-0.5,
scores["score_rate"].max(),
int(scores["score_rate"].max() * 2 + 2),
)
bins = pd.cut(scores["mark"], ranges)
scores["Bin"] = bins
grouped = (
scores.reset_index()
.groupby("Bin")
.agg({"score_rate": "count", "student_name": lambda x: "\n".join(x)})
)
grouped.index = grouped.index.map(lambda i: i.right)
fig = go.Figure()
fig.add_bar(
x=grouped.index,
y=grouped["score_rate"],
text=grouped["student_name"],
textposition="auto",
hovertemplate="",
marker_color="#4E89DE",
)
fig.update_layout(
height=300,
margin=dict(l=5, r=5, b=5, t=5),
)
return [fig]