Add interfaces with pandas, numpy and matplotlib

new examples : rips_persistence_diagram.py, random_cubical_complex_example & alpha_complex_from_file_example
new data files for alpha_complex_from_file_example



git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/ST_cythonize@1235 636b058d-ea47-450e-bf9e-a15bfbe3eedb

Former-commit-id: 901cc5eb791633f7bfcd86c0b7b8733cb6eb054c

1 files changed, 47 insertions, 0 deletions

diff --git a/src/cython/example/rips_persistence_diagram.py b/src/cython/example/rips_persistence_diagram.py
new file mode 100755
index 00000000..3e95f2cc
--- /dev/null
+++ b/src/cython/example/rips_persistence_diagram.py
@@ -0,0 +1,47 @@
+#!/usr/bin/env python
+
+import gudhi
+import matplotlib.pyplot as plt
+
+"""This file is part of the Gudhi Library. The Gudhi library
+   (Geometric Understanding in Higher Dimensions) is a generic C++
+   library for computational topology.
+
+   Author(s):       Marc Glisse
+
+   Copyright (C) 2016  INRIA Saclay (France)
+
+   This program is free software: you can redistribute it and/or modify
+   it under the terms of the GNU General Public License as published by
+   the Free Software Foundation, either version 3 of the License, or
+   (at your option) any later version.
+
+   This program is distributed in the hope that it will be useful,
+   but WITHOUT ANY WARRANTY; without even the implied warranty of
+   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+   GNU General Public License for more details.
+
+   You should have received a copy of the GNU General Public License
+   along with this program.  If not, see <http://www.gnu.org/licenses/>.
+"""
+
+__author__ = "Marc Glisse"
+__copyright__ = "Copyright (C) 2016  INRIA Saclay (France)"
+__license__ = "GPL v3"
+
+print("#####################################################################")
+print("RipsComplex creation from points")
+rips = gudhi.RipsComplex(points=[[0, 0], [1, 0], [0, 1], [1, 1]],
+                         max_dimension=1, max_edge_length=42)
+
+diag = rips.persistence(homology_coeff_field=2, min_persistence=0)
+print("diag=", diag)
+
+diag0=[i[1] for i in diag if i[0]==0]
+diag1=[i[1] for i in diag if i[0]==1]
+
+plt.plot([i[0] for i in diag0],[min(i[1],1.5) for i in diag0],'ro',
+         [i[0] for i in diag1],[i[1] for i in diag1],'bs',[-.2,1.5],[-.2,1.5],
+         '-')
+plt.axis([-.2,1.5,-.2,1.5])
+plt.show()