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  • numpy.ones_like(a, dtype=None, order='K', subok=True)返回和原矩阵一样形状的1矩阵

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

    Parameters:

    a : array_like

    The shape and data-type of a define these same attributes of the returned array.

    dtype : data-type, optional

    Overrides the data type of the result.

    New in version 1.6.0.

    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’ if a is Fortran contiguous, ‘C’ otherwise. ‘K’ means match the layout of a as closely as possible.

    New in version 1.6.0.

    subok : bool, optional.

    If True, then the newly created array will use the sub-class type of ‘a’, otherwise it will be a base-class array. Defaults to True.

    Returns:

    out : ndarray

    Array of ones with the same shape and type as a.

    See also

    zeros_like
    Return an array of zeros with shape and type of input.
    empty_like
    Return an empty array with shape and type of input.
    zeros
    Return a new array setting values to zero.
    ones
    Return a new array setting values to one.
    empty
    Return a new uninitialized array.

    Examples

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

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  • 原文地址:https://www.cnblogs.com/qqhfeng/p/5318908.html
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