Python ValueError：操作数无法与形状一起广播 (224,224) (180,180)
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ValueError: operands could not be broadcast together with shapes (224,224) (180,180)
提问by user3568044
I am writing a program to find the cosine similarity between two vectors. For small text files it works fine but for large datas it gives error. I have gone through many examples of broadcasting but couldn't get the actual problem. (Getting an error at line p=x*y)
我正在编写一个程序来查找两个向量之间的余弦相似度。对于小文本文件，它工作正常，但对于大数据，它会出错。我经历了许多广播的例子，但无法解决实际问题。（在 p=x*y 行出错）
x = numpy.dot(u, u.T)
y = numpy.dot(v, v.T)
p = x * y
value = numpy.dot(u, v.T) / p
p=(x*y)
ValueError: operands could not be broadcast together with shapes (224,224) (180,180)
回答by ThePredator
Your variable xand variable yhave different "dimensions". You should try to make sure they have similar "dimensions", i.e 224,224 and 224,224 or 180,180 and 180,180.
您的变量x和变量y具有不同的“维度”。您应该尝试确保它们具有相似的“维度”，即 224,224 和 224,224 或 180,180 和 180,180。
I.e with numpy "multiplication" it will not be possible to multiple two numpy arrayswith different "dimensions".
即使用 numpy“乘法”将不可能将两个具有不同“维度”的numpy 数组相乘。
For example
例如
x = np.linspace(1,10,num=224)
y = np.linspace(1,10,num=180)
p = x*y
Traceback (most recent call last):
File "<pyshell#3>", line 1, in <module>
p = x*y
ValueError: operands could not be broadcast together with shapes (224,) (180,)
But
但
x = np.linspace(1,10,num=224)
y = np.linspace(1,10,num=224)
p = x*y
will work
将工作
