在Numpy中将行向量转换为列向量 [英] Transforming a row vector into a column vector in Numpy

问题描述

假设我有一个形状为(1，256)的行向量.我想将其转换为形状为(256，1)的列向量.您将如何在Numpy中做到这一点?

Let's say I have a row vector of the shape (1, 256). I want to transform it into a column vector of the shape (256, 1) instead. How would you do it in Numpy?

推荐答案

，您可以使用

you can use the transpose operation to do this:

示例:

In [2]: a = np.array([[1,2], [3,4], [5,6]])
In [5]: np.shape(a)
Out[5]: (3, 2)

In [6]: a_trans = a.transpose()
In [8]: np.shape(a_trans)
Out[8]: (2, 3)
In [7]: a_trans
Out[7]: 
array([[1, 3, 5],
       [2, 4, 6]])

请注意，原始数组a仍将保持不变.转置操作只会复制并转置.

Note that the original array a will still remain unmodified. The transpose operation will just make a copy and transpose it.

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