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 in memory.
- 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 not NumPy arrays. If an array-like passed in as
like
supports the__array_function__
protocol, the result will be defined by it. In this case, it ensures the creation of an array object compatible 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
Examples
>>> 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.]])