basic ploting for skills

notes_tools/tools/marks_plottings.py

@@ -2,10 +2,17 @@
 # encoding: utf-8
 
 from .plottings import radar_graph
+from .skills_tools import count_levels, count_skill_evaluation
+import matplotlib.pyplot as plt
 import pandas as pd
 import numpy as np
 
-__all__ = ["radar_on", "marks_hist", "parallele_on"]
+__all__ = ["radar_on", 
+        "pie_skill_evaluation",
+        "pies_skills_level",
+        "marks_hist",
+        "parallele_on",
+        ]
 
 def radar_on(df, index, optimum = None):
     """ Plot the radar graph concerning index column of the df
@@ -26,6 +33,19 @@ def radar_on(df, index, optimum = None):
     fig, ax = radar_graph(labels, values, optimum)
     return fig, ax
 
+def pie_skill_evaluation(df, skill):
+    """ Plot a pie plot with the repartition of skill evaluations
+    """
+    ax = count_skill_evaluation(df, skill).plot.pie(autopct='%.0f')
+    return ax
+
+def pies_skills_level(df, skill):
+    """ Plot series of pies (one by different skill) with level repartition """
+    levels_counts = count_levels(df, skill)
+    fig, ax = plt.subplots(nrows=1, ncols=len(levels_counts), figsize=(16,3))
+    plots = levels_counts.T.plot(ax=ax ,kind="pie", subplots=True, legend=False)
+    return fig, ax
+
 def marks_hist(df):
     """ Return axe for the histogramme of the dataframe