#!/usr/bin/env python
# encoding: utf-8

from .plottings import radar_graph
import pandas as pd
import numpy as np

def comp_radar(df, optimum = None):
    """ Plot the radar graph concerning "Competence" column of the df

    :param df: DataFrame with "Competence", "Normalized"
    :returns: exes with radar plot

    """
    comp_pt = pd.pivot_table(df,
            index = ["Competence"],
            values = ["Normalized"],
            aggfunc=np.mean,
            )
    labels = list(comp_pt.index)
    values = [i[0] for i in comp_pt.values]
    if optimum is None:
        optimum = [1]*len(values)
    fig, ax = radar_graph(labels, values, optimum)
    return fig, ax

def marks_hist(df):
    """ 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.
    """
    bareme = df["Bareme"].max()
    bins = bareme*2

    ax = df["Mark"].hist(bins = bins, range=(0,bareme))

    try:
        nom = df["Nom"].unique()
    except KeyError:
        title="Histogramme"
    else:
        title="Histogramme pour {}".format(" ".join(nom))

    ax.set_title(title)

    return ax



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