numpy.char.chararray.shape

attribute

char.chararray.shape

数组维度的元组.

shape 属性通常用于获取数组的当前形状,但也可以通过将一个数组维度元组分配给它来对数组进行原地重塑.与 numpy.reshape 类似,新的形状维度之一可以是 -1,在这种情况下,它的值将从数组的大小和剩余维度推断出来.如果需要复制,则原地重塑数组将失败.

警告

不建议设置 arr.shape ,并且将来可能会弃用.使用 ndarray.reshape 是首选方法.

参见

numpy.shape

等效的 getter 函数.

numpy.reshape

类似于设置 shape 的函数.

ndarray.reshape

类似于设置 shape 的方法.

示例

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>>> 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: cannot reshape array of size 24 into shape (3,6)
>>> 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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