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. This includes lists, lists of tuples, tuples, tuples of tuples, tuples of 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) or column-major (Fortran-style) memory representation. Defaults to ‘C’. |
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Returns: |
out : ndarray Array interpretation of |
Raises: |
ValueError Raises ValueError if |
See also
asarray
asanyarray
ascontiguousarray
asfarray
asfortranarray
fromiter
fromfunction
Convert a list into an array. If all elements are finite asarray_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
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https://docs.scipy.org/doc/numpy-1.14.2/reference/generated/numpy.asarray_chkfinite.html