numpy.asarray_chkfinite¶

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

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

Parameters:	a:array_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. dtype:data-type, optional By default, the data-type is inferred from the input data. order:{‘C’, ‘F’}, optional Whether to use row-major (C-style) orcolumn-major (Fortran-style) memory representation.Defaults to ‘C’.
Returns:	out:ndarray 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.

asfarray

Convert input to a floating point ndarray.

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

Convert a list into an array. If all elements are finiteasarray_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