mindspore.numpy.array(obj, dtype=None, copy=True, ndmin=0)[source]

Creates a tensor.

This function creates tensors from an array-like object.

  • obj (Union[int, float, bool, list, tuple]) – Input data, in any form that can be converted to a Tensor. This includes Tensor, list, tuple and numbers.

  • dtype (Union[mindspore.dtype, str], optional) – Designated tensor dtype, can be in format of np.int32, or ‘int32’. If dtype is None, the data type of the new tensor will be inferred from obj. Default is None.

  • copy (bool) – If True, then the object is copied. Otherwise, a copy will only be made if necessary. Default: True.

  • ndmin (int) – Specifies the minimum number of dimensions that the resulting tensor should have. Ones will be pre-pended to the shape as needed to meet this requirement. Default: 0


Tensor, generated tensor with the specified dtype.

  • TypeError – If input arguments have types not specified above.

  • ValueError – If input obj has different sizes at different dimensions.

Supported Platforms:

Ascend GPU CPU


>>> import mindspore.numpy as np
>>> print(np.array([1,2,3]))
[1 2 3]