New translations draw_gm.py (French)

lang/fr/notebooks/utils/draw_gm.py

@@ -0,0 +1,64 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+Compare gram matrices
+Created on Mon Sep 24 10:52:25 2018
+
+@author: ljia
+"""
+import numpy as np
+import matplotlib.pyplot as plt
+
+N = 7
+egmin = [-3.425001366427846e-15, 
+         -5.513191435356332e-15,
+         -1.1563146193980238e-15,
+         -1.3999833987183273e-15,
+         -5.811474553224136e-15,
+         2.196833029054622e-10,
+         0.0001002381061317695]
+egmin = np.abs(egmin)
+egmin2 = [-9.433792343294819e-15, 
+          np.NaN, 
+          -7.502900269338164e-16,
+          -1.3999833987183273e-15,
+          -8.73626400337456e-15,
+          np.NaN,
+          -4.04460628433013e-14]
+egmin2 = np.abs(egmin2)
+egmax = [142.86649135778595,
+         140.08307372708344,
+         64.31844814063015,
+         92.38382991977493,
+         160.72585558445357,
+         943.9175660197347,
+         299.17895175532897]
+egmax2 = [172.4203026547106, 
+          np.NaN, 
+          65.53092059526354,
+          92.38382991977493,
+          180.374192331094,
+          np.NaN,
+          529.3691973508182]
+
+fig, ax = plt.subplots()
+
+ind = np.arange(N)    # the x locations for the groups
+width = 0.20       # the width of the bars: can also be len(x) sequence
+
+p1 = ax.bar(ind, egmin, width)
+p2 = ax.bar(ind, egmax, width, bottom=egmin)
+p3 = ax.bar(ind + width, egmin2, width)
+p4 = ax.bar(ind + width, egmax2, width, bottom=egmin2)
+
+ax.set_yscale('log', nonposy='clip')
+ax.set_xlabel('datasets')
+ax.set_ylabel('absolute eigen values')
+ax.set_title('Absolute eigen values of gram matrices on all datasets')
+plt.xticks(ind + width / 2, ('Acyclic', 'Alkane', 'MAO', 'PAH', 'MUTAG', 'Letter-med', 'ENZYMES'))
+#ax.set_yticks(np.logspace(-16, -3, num=20, base=10))
+ax.set_ylim(bottom=1e-15)
+ax.legend((p1[0], p2[0], p3[0], p4[0]), ('min1', 'max1', 'min2', 'max2'), loc='upper right')
+
+plt.savefig('../check_gm/compare_eigen_values.eps', format='eps', dpi=300)
+plt.show()