Numpy.Zeros等

numpy.zeros

numpy. zeros ( shape,  dtype=float,  order='C' )

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 Whether to store multidimensional data in C- or Fortran-contiguous (row- or column-wise) order in memory.
Returns:	out : ndarray Array of zeros with the given shape, dtype, and order.

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

例：

1，np.zeros((3, 5), dtype=np.uint8)
输出：

[[0 0 0 0 0]
 [0 0 0 0 0]
 [0 0 0 0 0]]

2，np.zeros(2, dtype=np.uint8)
输出：

[0 0]

类似的还有

numpy.ones

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

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 Whether to store multidimensional data in C- or Fortran-contiguous (row- or column-wise) order in memory.
Returns:	out : ndarray Array of ones with the given shape, dtype, and order.