As per the linear algebra rules we should not be bale to add a row and column vector . But i am able to do this operation in NumPy. Furthermore i am unable to understand the output. Example: v = np.array([1,2,3]) row_vector = v.reshape(1,3) column_vector = v.reshape(3,1) row_vector + column_vector O/P array([[2, 3, 4], [3, 4, 5], [4, 5, 6]]) Also i have a doubt that are row and column vectors , vectors or matrices. Because the row and column vectors have 2 dimesnions : (1,m) or (m,1) respectively. Also using the attribute 'row_vector.ndim' gives output 2. Any help will be appreciated. Thanks.

https://jakevdp.github.io/PythonDataScienceHandbook/02.05-computation-on-arrays-broadcasting.html

Follow this topic

Last answered:

January 18, 2021

Posted on:

March 23, 2020

Adding a row and column vector in NumPy

2 answers ( 0 marked as helpful)

Posted on:

March 24, 2020

Posted on:

January 18, 2021

Content