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author | Gard Spreemann <gspreemann@gmail.com> | 2017-10-09 10:47:31 +0200 |
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committer | Gard Spreemann <gspreemann@gmail.com> | 2017-10-09 10:47:31 +0200 |
commit | 673b6bb63befd7e591e52c13f43e5db53e5b29bd (patch) | |
tree | 3f15d96ef39bf0c6cf656d176ff1c437cacf5988 /cython/doc/rips_complex_user.rst | |
parent | 9466ce44e348487fc04a1fda493ed659ae92b775 (diff) | |
parent | 866f6ce614e9c09c97fed12c8c0c2c9fb84fad3f (diff) |
Merge tag 'upstream/2.0.1' into dfsg/latest
Upstream's 2.0.1 release.
Diffstat (limited to 'cython/doc/rips_complex_user.rst')
-rw-r--r-- | cython/doc/rips_complex_user.rst | 8 |
1 files changed, 5 insertions, 3 deletions
diff --git a/cython/doc/rips_complex_user.rst b/cython/doc/rips_complex_user.rst index f9760976..96ba9944 100644 --- a/cython/doc/rips_complex_user.rst +++ b/cython/doc/rips_complex_user.rst @@ -26,7 +26,7 @@ structure, and then expands the simplicial complex when required. Vertex name correspond to the index of the point in the given range (aka. the point cloud). .. figure:: - img/rips_complex_representation.png + ../../doc/Rips_complex/rips_complex_representation.png :align: center Rips-complex one skeleton graph representation @@ -101,7 +101,8 @@ Finally, it is asked to display information about the Rips complex. .. testcode:: import gudhi - rips_complex = gudhi.RipsComplex(off_file='alphacomplexdoc.off', max_edge_length=12.0) + rips_complex = gudhi.RipsComplex(off_file=gudhi.__root_source_dir__ + \ + '/data/points/alphacomplexdoc.off', max_edge_length=12.0) simplex_tree = rips_complex.create_simplex_tree(max_dimension=1) result_str = 'Rips complex is of dimension ' + repr(simplex_tree.dimension()) + ' - ' + \ repr(simplex_tree.num_simplices()) + ' simplices - ' + \ @@ -205,7 +206,8 @@ Finally, it is asked to display information about the Rips complex. .. testcode:: import gudhi - rips_complex = gudhi.RipsComplex(csv_file='full_square_distance_matrix.csv', max_edge_length=12.0) + rips_complex = gudhi.RipsComplex(csv_file=gudhi.__root_source_dir__ + \ + '/data/distance_matrix/full_square_distance_matrix.csv', max_edge_length=12.0) simplex_tree = rips_complex.create_simplex_tree(max_dimension=1) result_str = 'Rips complex is of dimension ' + repr(simplex_tree.dimension()) + ' - ' + \ repr(simplex_tree.num_simplices()) + ' simplices - ' + \ |