问题描述
我正在尝试为转置方法在Python scipy模块中使用一个非常基本的示例,但未给出预期的结果.我在pylab模式下使用Ipython.
I am trying a very basic example in Python scipy module for transpose method but is not giving expected result. I am using Ipython with pylab mode.
a = array([1,2,3]
print a.shape
>> (3,)
b = a.transpose()
print b.shape
>> (3,)
如果我打印数组"a"和"b"的内容,它们是相似的.
If i print the contents of arrays "a" and "b", they are similar.
期望是:(这将在Matlab中进行转置)
Expectation is : (which will be result in Matlab om transpose)
[1,
2,
3]
推荐答案
NumPy的transpose()
有效地反转了数组的形状.如果数组是一维的,则意味着它无效.
NumPy's transpose()
effectively reverses the shape of an array. If the array is one-dimensional, this means it has no effect.
在NumPy中,数组
array([1, 2, 3])
和
array([1,
2,
3])
实际上是相同的–它们只是空白不同.您可能想要的是相应的二维数组,对于该数组,transpose()
可以正常工作.还可以考虑使用NumPy的matrix
类型:
are actually the same – they only differ in whitespace. What you probably want are the corresponding two-dimensional arrays, for which transpose()
would work fine. Also consider using NumPy's matrix
type:
In [1]: numpy.matrix([1, 2, 3])
Out[1]: matrix([[1, 2, 3]])
In [2]: numpy.matrix([1, 2, 3]).T
Out[2]:
matrix([[1],
[2],
[3]])
请注意,对于大多数应用程序而言,简单的一维数组既可以作为行向量也可以作为列向量,但是从Matlab提取时,您可能更喜欢使用numpy.matrix
.
Note that for most applications, the plain one-dimensional array would work fine as both a row or column vector, but when coming from Matlab, you might prefer using numpy.matrix
.
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