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numpy.ascontiguousarray(a, dtype=None)[source] -
Return a contiguous array in memory (C order).
Parameters: a : array_like
Input array.
dtype : str or dtype object, optional
Data-type of returned array.
Returns: out : ndarray
Contiguous array of same shape and content as
a, with typedtypeif specified.See also
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asfortranarray - Convert input to an ndarray with column-major memory order.
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require - Return an ndarray that satisfies requirements.
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ndarray.flags - Information about the memory layout of the array.
Examples
>>> x = np.arange(6).reshape(2,3) >>> np.ascontiguousarray(x, dtype=np.float32) array([[ 0., 1., 2.], [ 3., 4., 5.]], dtype=float32) >>> x.flags['C_CONTIGUOUS'] True -
numpy.ascontiguousarray()
2017-01-10 18:12:52
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