- scipy.spatial.distance.is_valid_dm(D, tol=0.0, throw=False, name='D', warning=False)[source]¶
Returns True if input array is a valid distance matrix.
Distance matrices must be 2-dimensional numpy arrays containing doubles. They must have a zero-diagonal, and they must be symmetric.
D : ndarray
The candidate object to test for validity.
tol : float, optional
The distance matrix should be symmetric. tol is the maximum difference between entries ij and ji for the distance metric to be considered symmetric.
throw : bool, optional
An exception is thrown if the distance matrix passed is not valid.
name : str, optional
The name of the variable to checked. This is useful if throw is set to True so the offending variable can be identified in the exception message when an exception is thrown.
warning : bool, optional
Instead of throwing an exception, a warning message is raised.
valid : bool
True if the variable D passed is a valid distance matrix.
Small numerical differences in D and D.T and non-zeroness of the diagonal are ignored if they are within the tolerance specified by tol.