xorbits.numpy.empty#

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

Return a new array of given shape and type, without initializing entries.

参数

  • shape (int or tuple of int) – Shape of the empty array, e.g., (2, 3) or 2.

  • dtype (data-type, optional) – Desired output 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 uninitialized (arbitrary) data of the given shape, dtype, and order. Object arrays will be initialized to None.

返回类型

ndarray

参见

empty_like

Return an empty array with shape and type of input.

ones

Return a new array setting values to one.

zeros

Return a new array setting values to zero.

full

Return a new array of given shape filled with value.

提示

empty, unlike zeros, does not set the array values to zero, and may therefore be marginally faster. On the other hand, it requires the user to manually set all the values in the array, and should be used with caution.

实际案例

>>> np.empty([2, 2])  
array([[ -9.74499359e+001,   6.69583040e-309],
       [  2.13182611e-314,   3.06959433e-309]])         #uninitialized

>>> np.empty([2, 2], dtype=int)  
array([[-1073741821, -1067949133],
       [  496041986,    19249760]])                     #uninitialized

This docstring was copied from numpy.