numpy.ones_like(a, dtype=None, order='K', subok=True)
[source]
Return an array of ones with the same shape and type as a given array.
Parameters: |
a : array_like The shape and data-type of dtype : data-type, optional Overrides the data type of the result. New in version 1.6.0. order : {‘C’, ‘F’, ‘A’, or ‘K’}, optional Overrides the memory layout of the result. ‘C’ means C-order, ‘F’ means F-order, ‘A’ means ‘F’ if New in version 1.6.0. subok : bool, optional. If True, then the newly created array will use the sub-class type of ‘a’, otherwise it will be a base-class array. Defaults to True. |
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Returns: |
out : ndarray Array of ones with the same shape and type as |
See also
zeros_like
empty_like
zeros
ones
empty
>>> x = np.arange(6) >>> x = x.reshape((2, 3)) >>> x array([[0, 1, 2], [3, 4, 5]]) >>> np.ones_like(x) array([[1, 1, 1], [1, 1, 1]])
>>> y = np.arange(3, dtype=float) >>> y array([ 0., 1., 2.]) >>> np.ones_like(y) array([ 1., 1., 1.])
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https://docs.scipy.org/doc/numpy-1.14.2/reference/generated/numpy.ones_like.html