Numpy zeros ones 创建全0 全1数组

所属的课程名称及链接

[AI基础课程--常用框架工具]

环境信息

• * ModelArts
  •   * Notebook - Multi-Engine 2.0 (python3)
    •     * JupyterLab - Notebook - Conda-python3
      •       * numpy 1.19.1

Numpy zeros 创建全0数组

print(np.zeros([6]))
print(np.zeros([2,3]))
print(np.zeros([2,3,4]))

[0. 0. 0. 0. 0. 0.]
[[0. 0. 0.]
 [0. 0. 0.]]
[[[0. 0. 0. 0.]
  [0. 0. 0. 0.]
  [0. 0. 0. 0.]]

 [[0. 0. 0. 0.]
  [0. 0. 0. 0.]
  [0. 0. 0. 0.]]]

Numpy ones 创建全1数组

print(np.ones([6]))
print(np.ones([2,3]))
print(np.ones([2,3,4]))

[1. 1. 1. 1. 1. 1.]
[[1. 1. 1.]
 [1. 1. 1.]]
[[[1. 1. 1. 1.]
  [1. 1. 1. 1.]
  [1. 1. 1. 1.]]

 [[1. 1. 1. 1.]
  [1. 1. 1. 1.]
  [1. 1. 1. 1.]]]

help

help(np.zeros)

Help on built-in function zeros in module numpy:

zeros(...)
    zeros(shape, dtype=float, order='C')
    
    Return a new array of given shape and type, filled with zeros.
    
    Parameters
    ----------
    shape : int or tuple 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.
    
    Returns
    -------
    out : ndarray
        Array of zeros with the given shape, dtype, and order.
    
    See Also
    --------
    zeros_like : Return an array of zeros with shape and type of input.
    empty : Return a new uninitialized array.
    ones : Return a new array setting values to one.
    full : Return a new array of given shape filled with value.
    
    Examples
    --------
    >>> np.zeros(5)
    array([ 0.,  0.,  0.,  0.,  0.])
    
    >>> np.zeros((5,), dtype=int)
    array([0, 0, 0, 0, 0])
    
    >>> np.zeros((2, 1))
    array([[ 0.],
           [ 0.]])
    
    >>> s = (2,2)
    >>> np.zeros(s)
    array([[ 0.,  0.],
           [ 0.,  0.]])
    
    >>> np.zeros((2,), dtype=[('x', 'i4'), ('y', 'i4')]) # custom dtype
    array([(0, 0), (0, 0)],
          dtype=[('x', '<i4'), ('y', '<i4')])

help(np.ones)

Help on function ones in module numpy:

ones(shape, dtype=None, order='C')
    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.
    
    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.]])

备注