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.