numpy.ones_like(a, dtype=None, order='K', subok=True, shape=None)[source]¶Return an array of ones with the same shape and type as a given array.
The shape and data-type of a define these same attributes of the returned array.
Overrides the data type of the result.
New in version 1.6.0.
Overrides the memory layout of the result. ‘C’ means C-order, ‘F’ means F-order, ‘A’ means ‘F’ if a is Fortran contiguous, ‘C’ otherwise. ‘K’ means match the layout of a as closely as possible.
New in version 1.6.0.
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.
Overrides the shape of the result. If order=’K’ and the number of dimensions is unchanged, will try to keep order, otherwise, order=’C’ is implied.
New in version 1.17.0.
Array of ones with the same shape and type as a.
See also
empty_likeReturn an empty array with shape and type of input.
zeros_likeReturn an array of zeros with shape and type of input.
full_likeReturn a new array with shape of input filled with value.
onesReturn a new array setting values to one.
Examples
>>> 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.])