numpy.ones_like#

numpy.ones_like(a,dtype=None,order='K',subok=True,shape=None,*,device=None)[source]#

Return an array of ones with the same shape and type as a given array.

Parameters:

aarray_like

The shape and data-type ofa define these same attributes ofthe returned array.

dtypedata-type, optional

Overrides the data type of the result.

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’ ifa is Fortran contiguous,‘C’ otherwise. ‘K’ means match the layout ofa as closelyas possible.

subokbool, optional.

If True, then the newly created array will use the sub-classtype ofa, otherwise it will be a base-class array. Defaultsto True.

shapeint or sequence of ints, optional.

Overrides the shape of the result. If order=’K’ and the number ofdimensions is unchanged, will try to keep order, otherwise,order=’C’ is implied.

devicestr, optional

The device on which to place the created array. Default: None.For Array-API interoperability only, so must be"cpu" if passed.

New in version 2.0.0.

Returns:

outndarray

Array of ones with the same shape and type asa.

See also

empty_like

Return an empty array with shape and type of input.

zeros_like

Return an array of zeros with shape and type of input.

full_like

Return a new array with shape of input filled with value.

ones

Return a new array setting values to one.

Examples

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>>>importnumpyasnp>>>x=np.arange(6)>>>x=x.reshape((2,3))>>>xarray([[0, 1, 2],       [3, 4, 5]])>>>np.ones_like(x)array([[1, 1, 1],       [1, 1, 1]])

>>>y=np.arange(3,dtype=float)>>>yarray([0., 1., 2.])>>>np.ones_like(y)array([1.,  1.,  1.])

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