xorbits.numpy.ones#
- xorbits.numpy.ones(shape, dtype=None, chunk_size=None, gpu=None, order='C')[源代码]#
Return a new array of given shape and type, filled with ones.
- 参数
shape (int or sequence of ints) – Shape of the new array, e.g.,
(2, 3)
or2
.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 (Not supported yet)) –
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 ones with the given shape, dtype, and order.
- 返回类型
ndarray
参见
实际案例
>>> np.ones(5) array([1., 1., 1., 1., 1.])
>>> np.ones((5,), dtype=int) array([1, 1, 1, 1, 1])
>>> np.ones((2, 1)) array([[1.], [1.]])
>>> s = (2,2) >>> np.ones(s) array([[1., 1.], [1., 1.]])
- chunk_sizeint or tuple of int or tuple of ints, optional
Desired chunk size on each dimension
- gpubool, optional
Allocate the tensor on GPU if True, False as default
This docstring was copied from numpy.