54 lines
1.3 KiB
Python
54 lines
1.3 KiB
Python
#!/usr/bin/env python
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# encoding: utf-8
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from .plottings import radar_graph
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import pandas as pd
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import numpy as np
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def comp_radar(df, optimum = None):
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""" Plot the radar graph concerning "Competence" column of the df
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:param df: DataFrame with "Competence", "Normalized"
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:returns: exes with radar plot
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"""
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comp_pt = pd.pivot_table(df,
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index = ["Competence"],
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values = ["Normalized"],
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aggfunc=np.mean,
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)
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labels = list(comp_pt.index)
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values = [i[0] for i in comp_pt.values]
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if optimum is None:
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optimum = [1]*len(values)
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fig, ax = radar_graph(labels, values, optimum)
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return fig, ax
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def marks_hist(df):
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""" Return axe for the histogramme of the dataframe
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:param df: Dataframe with "Mark" and "Bareme" columns. If it has "Nom" column, it is use in title.
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"""
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bareme = df["Bareme"].max()
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bins = bareme*2
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ax = df["Mark"].hist(bins = bins, range=(0,bareme))
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try:
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nom = df["Nom"].unique()
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except KeyError:
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title="Histogramme"
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else:
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title="Histogramme pour {}".format(" ".join(nom))
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ax.set_title(title)
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return ax
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# -----------------------------
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# Reglages pour 'vim'
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# vim:set autoindent expandtab tabstop=4 shiftwidth=4:
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# cursor: 16 del
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