numpy.asarray_chkfinite — NumPy v2.2 Manual (original) (raw)

numpy.asarray_chkfinite(a, dtype=None, order=None)[source]#

Convert the input to an array, checking for NaNs or Infs.

Parameters:

aarray_like

Input data, in any form that can be converted to an array. This includes lists, lists of tuples, tuples, tuples of tuples, tuples of lists and ndarrays. Success requires no NaNs or Infs.

dtypedata-type, optional

By default, the data-type is inferred from the input data.

order{‘C’, ‘F’, ‘A’, ‘K’}, optional

Memory layout. ‘A’ and ‘K’ depend on the order of input array a. ‘C’ row-major (C-style), ‘F’ column-major (Fortran-style) memory representation. ‘A’ (any) means ‘F’ if a is Fortran contiguous, ‘C’ otherwise ‘K’ (keep) preserve input order Defaults to ‘C’.

Returns:

outndarray

Array interpretation of a. No copy is performed if the input is already an ndarray. If a is a subclass of ndarray, a base class ndarray is returned.

Raises:

ValueError

Raises ValueError if a contains NaN (Not a Number) or Inf (Infinity).

Examples

Convert a list into an array. If all elements are finite, thenasarray_chkfinite is identical to asarray.

a = [1, 2] np.asarray_chkfinite(a, dtype=float) array([1., 2.])

Raises ValueError if array_like contains Nans or Infs.

a = [1, 2, np.inf] try: ... np.asarray_chkfinite(a) ... except ValueError: ... print('ValueError') ... ValueError