numpy.asarray_chkfinite#

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. Thisincludes lists, lists of tuples, tuples, tuples of tuples, tuplesof 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’ ifa is Fortran contiguous, ‘C’ otherwise‘K’ (keep) preserve input orderDefaults to ‘C’.

Returns:

outndarray

Array interpretation ofa. No copy is performed if the inputis already an ndarray. Ifa is a subclass of ndarray, a baseclass ndarray is returned.

Raises:

ValueError

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

See also

asarray

Create and array.

asanyarray

Similar function which passes through subclasses.

ascontiguousarray

Convert input to a contiguous array.

asfortranarray

Convert input to an ndarray with column-major memory order.

fromiter

Create an array from an iterator.

fromfunction

Construct an array by executing a function on grid positions.

Examples

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>>>importnumpyasnp

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

>>>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)...exceptValueError:...print('ValueError')...ValueError

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