numpy.ones#

numpy.ones(shape,dtype=None,order='C',*,device=None,like=None)[source]#

Return a new array of given shape and type, filled with ones.

Parameters:

shapeint or sequence of ints

Shape of the new array, e.g.,(2,3) or2.

dtypedata-type, optional

The desired data-type for the array, e.g.,numpy.int8. Default isnumpy.float64.

order{‘C’, ‘F’}, optional, default: C

Whether to store multi-dimensional data in row-major(C-style) or column-major (Fortran-style) order inmemory.

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.

likearray_like, optional

Reference object to allow the creation of arrays which are notNumPy arrays. If an array-like passed in aslike supportsthe__array_function__ protocol, the result will be definedby it. In this case, it ensures the creation of an array objectcompatible with that passed in via this argument.

New in version 1.20.0.

Returns:

outndarray

Array of ones with the given shape, dtype, and order.

See also

ones_like

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

empty

Return a new uninitialized array.

zeros

Return a new array setting values to zero.

full

Return a new array of given shape filled with value.

Examples

Try it in your browser!

>>>importnumpyasnp>>>np.ones(5)array([1., 1., 1., 1., 1.])

>>>np.ones((5,),dtype=int)array([1, 1, 1, 1, 1])

>>>np.ones((2,1))array([[1.],       [1.]])

>>>s=(2,2)>>>np.ones(s)array([[1.,  1.],       [1.,  1.]])

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