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author | ROUVREAU Vincent <vincent.rouvreau@inria.fr> | 2019-12-18 10:44:17 +0100 |
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committer | ROUVREAU Vincent <vincent.rouvreau@inria.fr> | 2019-12-18 10:44:17 +0100 |
commit | b63be266effe24646823acc59fe397021bb13a3e (patch) | |
tree | 92e7bd9863a8823cca7934fe0d8cf1481417128a /src/python/doc | |
parent | b5510c0c362cd2bef79d82fd9809e654aea73957 (diff) |
Reuse top_dimensional_cells instead of numpy_array argument to create a cubical
Diffstat (limited to 'src/python/doc')
-rw-r--r-- | src/python/doc/cubical_complex_user.rst | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/src/python/doc/cubical_complex_user.rst b/src/python/doc/cubical_complex_user.rst index 21806038..d56c8789 100644 --- a/src/python/doc/cubical_complex_user.rst +++ b/src/python/doc/cubical_complex_user.rst @@ -143,7 +143,7 @@ Or it can be defined as follows: from gudhi import PeriodicCubicalComplex as pcc from numpy import array as np_array - periodic_cc = pcc(numpy_array = np_array([[0, 0, 0], [0, 1, 0], [0, 0, 0]]), + periodic_cc = pcc(top_dimensional_cells = np_array([[0, 0, 0], [0, 1, 0], [0, 0, 0]]), periodic_dimensions=[True, False]) result_str = 'Periodic cubical complex is of dimension ' + repr(periodic_cc.dimension()) + ' - ' + \ repr(periodic_cc.num_simplices()) + ' simplices.' |