`scipy._lib._util:_asarray_validated`

source: /scipy/_lib/_util.py :423

Signature

   def     _asarray_validated (    a    ,    check_finite    =  True   ,    sparse_ok    =  False   ,    objects_ok    =  False   ,    mask_ok    =  False   ,    as_inexact    =  False     )

Summary

Helper function for SciPy argument validation.

Extended Summary

Many SciPy linear algebra functions do support arbitrary array-like input arguments. Examples of commonly unsupported inputs include matrices containing inf/nan, sparse matrix representations, and matrices with complicated elements.

Parameters

a : array_like: The array-like input.
check_finite : bool, optional: Whether to check that the input matrices contain only finite numbers. Disabling may give a performance gain, but may result in problems (crashes, non-termination) if the inputs do contain infinities or NaNs. Default: True
sparse_ok : bool, optional: True if scipy sparse matrices are allowed.
objects_ok : bool, optional: True if arrays with dype('O') are allowed.
mask_ok : bool, optional: True if masked arrays are allowed.
as_inexact : bool, optional: True to convert the input array to a np.inexact dtype.

Returns

ret : ndarray: The converted validated array.

Aliases

scipy.interpolate._polyint._asarray_validated