add radar_plot
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# encoding: utf-8
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from .generate_bilan import generate_bilan
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from .tools import extract_flat_marks, get_class_ws, digest_flat_df, students_pov
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from .tools import extract_flat_marks, get_class_ws, digest_flat_df, students_pov, radar_graph
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# -----------------------------
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# Reglages pour 'vim'
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@ -5,6 +5,7 @@
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from .extract import extract_flat_marks, get_class_ws
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from .df_marks_manip import digest_flat_df, students_pov
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from .eval_tools import select_eval, get_present_absent, keep_only_presents
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from .plottings import radar_graph
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77
notes_tools/tools/plottings.py
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77
notes_tools/tools/plottings.py
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#!/usr/bin/env python
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# encoding: utf-8
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import numpy as np
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import matplotlib.pyplot as plt
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from matplotlib.path import Path
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from matplotlib.spines import Spine
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from matplotlib.projections.polar import PolarAxes
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from matplotlib.projections import register_projection
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def _radar_factory(num_vars):
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theta = 2*np.pi * np.linspace(0, 1-1./num_vars, num_vars)
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theta += np.pi/2
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def unit_poly_verts(theta):
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x0, y0, r = [0.5] * 3
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verts = [(r*np.cos(t) + x0, r*np.sin(t) + y0) for t in theta]
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return verts
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class RadarAxes(PolarAxes):
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name = 'radar'
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RESOLUTION = 1
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def fill(self, *args, **kwargs):
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closed = kwargs.pop('closed', True)
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return super(RadarAxes, self).fill(closed=closed, *args, **kwargs)
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def plot(self, *args, **kwargs):
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lines = super(RadarAxes, self).plot(*args, **kwargs)
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for line in lines:
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self._close_line(line)
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def _close_line(self, line):
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x, y = line.get_data()
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# FIXME: markers at x[0], y[0] get doubled-up
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if x[0] != x[-1]:
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x = np.concatenate((x, [x[0]]))
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y = np.concatenate((y, [y[0]]))
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line.set_data(x, y)
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def set_varlabels(self, labels):
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self.set_thetagrids(theta * 180/np.pi, labels)
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def _gen_axes_patch(self):
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verts = unit_poly_verts(theta)
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return plt.Polygon(verts, closed=True, edgecolor='k')
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def _gen_axes_spines(self):
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spine_type = 'circle'
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verts = unit_poly_verts(theta)
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verts.append(verts[0])
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path = Path(verts)
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spine = Spine(self, spine_type, path)
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spine.set_transform(self.transAxes)
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return {'polar': spine}
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register_projection(RadarAxes)
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return theta
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def radar_graph(labels = [], values = [], optimum = []):
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N = len(labels)
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theta = _radar_factory(N)
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max_val = max(max(optimum), max(values))
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fig = plt.figure()
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ax = fig.add_subplot(1, 1, 1, projection='radar')
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ax.plot(theta, values, color='k')
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ax.plot(theta, optimum, color='r')
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ax.set_varlabels(labels)
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plt.show()
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#plt.savefig("radar.png", dpi=100)
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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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