NumPy: numpy.ascontiguousarray() function
numpy.ascontiguousarray() function
The function numpy.ascontiguousarray() is used to get a contiguous array in memory (C order).
Syntax:
numpy.ascontiguousarray(a, dtype=None)
Parameters:
| Name | Description | Required / Optional |
|---|---|---|
| a | Input array. | Required |
| dtype | Data-type of returned array. | Optional |
Return value:
out : ndarray - Contiguous array of same shape and content as a, with type dtype if specified.
Example: numpy.ascontiguousarray()
>>> import numpy as np
>>> a = np.arange(9).reshape(3, 3)
>>> np.ascontiguousarray(a, dtype=np.float32)
array([[ 0., 1., 2.],
[ 3., 4., 5.],
[ 6., 7., 8.]], dtype=float32)
>>> a.flags['C_CONTIGUOUS']
True
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