numpy.ndarray.shape#

属性

ndarray.shape#

数组维度的元组.

shape 属性通常用于获取数组的当前形状,但也可以通过为其分配一个数组维度元组来就地重塑数组.与 numpy.reshape 一样,新的形状维度之一可以是 -1,在这种情况下,其值是从数组的大小和剩余维度推断出来的.如果需要复制,就地重塑数组将失败.

警告

不鼓励设置 arr.shape ,未来可能会被弃用.推荐使用 ndarray.reshape 方法.

参见

numpy.shape

等效的获取函数.

numpy.reshape

类似于设置 shape 的功能.

ndarray.reshape

类似于设置 shape 的方法.

示例

>>> import numpy as np
>>> x = np.array([1, 2, 3, 4])
>>> x.shape
(4,)
>>> y = np.zeros((2, 3, 4))
>>> y.shape
(2, 3, 4)
>>> y.shape = (3, 8)
>>> y
array([[ 0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.],
       [ 0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.],
       [ 0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.]])
>>> y.shape = (3, 6)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
ValueError: total size of new array must be unchanged
>>> np.zeros((4,2))[::2].shape = (-1,)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
AttributeError: Incompatible shape for in-place modification. Use
`.reshape()` to make a copy with the desired shape.
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