#!/usr/bin/env python # encoding: utf-8 from .plottings import radar_graph import pandas as pd import numpy as np def radar_on(df, index, optimum = None): """ Plot the radar graph concerning index column of the df :param df: DataFrame with index and "Normalized" column :returns: exes with radar plot """ comp_pt = pd.pivot_table(df, index = [index], 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 # ----------------------------- # Reglages pour 'vim' # vim:set autoindent expandtab tabstop=4 shiftwidth=4: # cursor: 16 del