ascontiguousarray(a, dtype=None, *, like=None)
Input array.
Data-type of returned array.
Reference object to allow the creation of arrays which are not NumPy arrays. If an array-like passed in as like
supports the __array_function__
protocol, the result will be defined by it. In this case, it ensures the creation of an array object compatible with that passed in via this argument.
Return a contiguous array (ndim >= 1) in memory (C order).
asfortranarray
Convert input to an ndarray with column-major memory order.
ndarray.flags
Information about the memory layout of the array.
require
Return an ndarray that satisfies requirements.
>>> 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
Note: This function returns an array with at least one-dimension (1-d) so it will not preserve 0-d arrays.
See :The following pages refer to to this document either explicitly or contain code examples using this.
numpy.asarray
numpy.asarray_chkfinite
numpy.asfortranarray
numpy.require
numpy.asanyarray
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