Can make term bilan!!!!

notes_tools/generate_bilan/templates/tpl_bilan_term.tex

@@ -15,13 +15,21 @@
 %- for e in students
 \maketitle
 
-\Var{e["Nom"]}
+{\Large \Var{e["Nom"]}}
 
-\Var{e["eval"].groupby("Nom").sum()[["Mark","Bareme"]].to_latex()}
+\vfill
 
-\Var{e["quest"] | radar_on("Competence") | includegraphics(document_path=directory, scale=0.7)}
+\Var{e["eval"].groupby("Nom").sum()[["Mark","Bareme"]].T.to_latex()}
-\Var{e["quest"] | radar_on("Domaine") | includegraphics(document_path=directory, scale=0.7)}
 
+\vfill
+\Var{e["quest"] | radar_on("Competence") | includegraphics(document_path=directory, scale=0.6)}
+\Var{e["quest"] | radar_on("Domaine") | includegraphics(document_path=directory, scale=0.6)}
+
+\vfill
+%#\Var{conn_df}
+\Var{conn_df | parallele_on("Exercice", e["Nom"]) | includegraphics(document_path=directory, scale=0.5)}
+
+\vfill
 \vfill
 
 \normalsize

notes_tools/generate_bilan/term_bilan.py

@@ -55,7 +55,7 @@ def term_bilan(classe, term, path = Path('./'),
     quest_df, exo_df, eval_df = \
             term_tools.select(quest_df, exo_df, eval_df, term)
     _, conn_df, _ = \
-            eval_tools.select_contains(quest_df, exo_df, eval_df, "conn")
+            eval_tools.select_contains(quest_df, exo_df, eval_df, "Conn")
 
     bilan_info = term_info(classe, eval_df)
     students = term_tools.students_pov(quest_df, exo_df, eval_df)

notes_tools/generate_bilan/texenv.py

@@ -31,9 +31,10 @@ texenv = jinja2.Environment(
 from .filters import includegraphics
 texenv.filters['includegraphics'] = includegraphics
 
-from notes_tools.tools.marks_plottings import radar_on, marks_hist
+from notes_tools.tools.marks_plottings import radar_on, marks_hist, parallele_on
 texenv.filters['radar_on'] = radar_on
 texenv.filters['marks_hist'] = marks_hist
+texenv.filters['parallele_on'] = parallele_on
 
 def feed_template(target, datas, template):
     """ Get the template and feed it to create bilans

notes_tools/tools/marks_plottings.py

@@ -45,6 +45,26 @@ def marks_hist(df):
 
     return ax
 
+def parallele_on(df, index, student=None):
+    """ Plot parallele one line by student
+
+    :param df: TODO
+    :param index: TODO
+    :returns: TODO
+
+    """
+    pt = pd.pivot_table(df,
+            index = [index],
+            values = ["Normalized"],
+            columns = ["Eleve"],
+            aggfunc = np.mean,
+            )["Normalized"]
+    ax = pt.plot(color="b", figsize=(10,5), legend=False)
+    pt.T.describe().T[["min", "25%","50%", "75%", "max"]].plot(ax=ax,
+            kind='area', stacked=False, alpha=0.2)
+    if not student is None:
+        pt.ix[:,student].plot(ax=ax, color="r")
+    return ax
 
 
 # -----------------------------