xorbits.numpy.zeros#

xorbits.numpy.zeros(shape, dtype=float, order='C', *, like=None)[源代码]#

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

参数

  • 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.

  • like (array_like, optional) –

    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.

    1.20.0(numpy) 新版功能.

返回

out – Array of zeros with the given shape, dtype, and order.

返回类型

ndarray

参见

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.

实际案例

>>> 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')])

This docstring was copied from numpy.