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| author | ROUVREAU Vincent <vincent.rouvreau@inria.fr> | 2019-11-27 21:53:31 +0100 |
|---|---|---|
| committer | ROUVREAU Vincent <vincent.rouvreau@inria.fr> | 2019-11-27 21:53:31 +0100 |
| commit | dbb5183230e4b16bd36c5d582ef82e880741f149 (patch) | |
| tree | 022b5d247981c3a31e4c21ec80d2bf7d8c0b2e3a | |
| parent | ae13d5bbcd83baa9b814b061c04b50c5c31bfc78 (diff) | |
Code review : for loop simplification
| -rw-r--r-- | src/python/doc/persistence_graphical_tools_user.rst | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/src/python/doc/persistence_graphical_tools_user.rst b/src/python/doc/persistence_graphical_tools_user.rst index e4419bc1..f41a926b 100644 --- a/src/python/doc/persistence_graphical_tools_user.rst +++ b/src/python/doc/persistence_graphical_tools_user.rst @@ -73,7 +73,7 @@ If you want more information on a specific dimension, for instance: birth_death = gudhi.read_persistence_intervals_in_dimension( persistence_file=persistence_file, only_this_dim=1) - pers_diag = [(1, (elt[0], elt[1])) for elt in birth_death] + pers_diag = [(1, elt) for elt in birth_death] # Use subplots to display diagram and density side by side fig, axes = plot.subplots(nrows=1, ncols=2, figsize=(12, 5)) gudhi.plot_persistence_diagram(persistence=pers_diag, |