Solve bug with multiple ax on same fig

notes_tools/tools/marks_plottings.py

@@ -45,15 +45,16 @@ def pie_pivot_table(df, pies_per_lines = 3, **kwargs):
     pv = pd.pivot_table(df, **kwargs)
     return pivot_table_to_pie(pv, pies_per_lines)
 
-def marks_hist(df):
+def marks_hist(df, **kwargs):
     """ Return axe for the histogramme of the dataframe  
 
     :param df: Dataframe with "Mark" and "Bareme" columns. If it has "Nom" column, it is use in title.
+    :param kwargs: argument to pass to hist
     """
     bareme = df["Bareme"].max()
     bins = int(bareme*2)
 
-    ax = df["Mark"].hist(bins = bins, range=(0,bareme))
+    ax = df["Mark"].hist(bins = bins, range=(0,bareme), **kwargs)
 
     try:
         nom = df["Nom"].unique()

notes_tools/tools/plottings.py

@@ -81,7 +81,7 @@ def my_autopct(values):
 def pivot_table_to_pie(pv, pies_per_lines = 3):
     nbr_pies = len(pv.columns)
     nbr_cols = min(pies_per_lines, nbr_pies)
-    nbr_rows = max(nbr_pies % nbr_cols,1)
+    nbr_rows = nbr_pies // nbr_cols + 1
     f, axs = plt.subplots(nbr_rows, nbr_cols, figsize = (4*nbr_cols,4*nbr_rows))
     for (c, ax) in zip(pv, axs.flatten()):
         datas = pv[c]