# numpy.ones

numpy.ones(shape, dtype=None, order='C', *, like=None)

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

  Parameters
    shape int or sequence of ints

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

    dtype data-type, optional

      The desired data-type for the array, e.g., `numpy.int8`. Default is `numpy.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.

    like array_like

      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
    out ndarray

      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

      >>> 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.]])

previous

numpy.identity

next

numpy.ones_like