diff options
Diffstat (limited to 'src/python/doc')
| -rw-r--r-- | src/python/doc/alpha_complex_user.rst | 3 | ||||
| -rw-r--r-- | src/python/doc/persistence_graphical_tools_user.rst | 2 |
2 files changed, 3 insertions, 2 deletions
diff --git a/src/python/doc/alpha_complex_user.rst b/src/python/doc/alpha_complex_user.rst index cfd22742..b060c86e 100644 --- a/src/python/doc/alpha_complex_user.rst +++ b/src/python/doc/alpha_complex_user.rst @@ -27,7 +27,8 @@ Remarks If you pass :code:`precision = 'exact'` to :func:`~gudhi.AlphaComplex.__init__`, the filtration values are the exact ones converted to float. This can be very slow. If you pass :code:`precision = 'safe'` (the default), the filtration values are only - guaranteed to have a small multiplicative error compared to the exact value. + guaranteed to have a small multiplicative error compared to the exact value, see + :func:`~gudhi.AlphaComplex.set_float_relative_precision` to modify the precision. A drawback, when computing persistence, is that an empty exact interval [10^12,10^12] may become a non-empty approximate interval [10^12,10^12+10^6]. Using :code:`precision = 'fast'` makes the computations slightly faster, and the combinatorics are still exact, but diff --git a/src/python/doc/persistence_graphical_tools_user.rst b/src/python/doc/persistence_graphical_tools_user.rst index d95b9d2b..e1d28c71 100644 --- a/src/python/doc/persistence_graphical_tools_user.rst +++ b/src/python/doc/persistence_graphical_tools_user.rst @@ -60,7 +60,7 @@ of shape (N x 2) encoding a persistence diagram (in a given dimension). import matplotlib.pyplot as plt import gudhi import numpy as np - d = np.array([[0, 1], [1, 2], [1, np.inf]]) + d = np.array([[0., 1.], [1., 2.], [1., np.inf]]) gudhi.plot_persistence_diagram(d) plt.show() |