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Is there a "compound matrix" method for matrices? I'm surprised that if A is a matrix that there isn't a A.compound_matr

Thanks for the reply. Yes, your mwe works. I think my issue is that my matrix was originally defined as a "sparse" matr

Is it no longer possible to calculate SVD in sage? I recently noticed that the property .SVD() is no longer available fo

Really cool idea! Thanks!

This isn't quite what I want. The commas are still there and the numbers are not inside an array.

Ha. Had no idea this was built in. Thanks!

I'm want to check if a given sage object obj is a vector or not. I'd like to do this as efficiently as possible. Currently my best idea is:

sage_input(obj).__repr__().startswith('vector')

This works, assuming that sage_input is smart enough to identify every vector without false positives. However, this solution feels inefficient (and also inelegant!). Is there a better way?

Are there any workarounds?

I want to change the way vectors are rendered in sagetex. For example, consider v = vector([1, 2, 3]). In sagetex, the command $v=\sage{v}$ renders as $$ v=(1, 2, 3) $$ Instead, I want my vectors to take the form $$ v=\left[\begin{array}{rrr}1&2&3\end{array}\right]^\intercal $$ I thought I could do this by resetting the _latex_ method of the sage.modules.free_module_element.FreeModuleElement class as follows.

def my_vector_latex(self):
    return matrix(v)._latex_() + r'^\intercal'

setattr(sage.modules.free_module_element.FreeModuleElement, '_latex_', my_vector_latex)

However, this code throws the following error:

TypeError: can't set attributes of built-in/extension type 'sage.modules.free_module_element.FreeModuleElement'

So, it looks like I can't modify the methods of FreeModuleElement in this way. Is there anything else I could do?

I'm writing a latex document where I want all vectors to be represented differently in sagetex. Is this possible?

More specifically, in sagetex, the vector v=vector([1, 2, 3]) renders as \left(1,\,2,\,3\right) in sagetex. Instead, I want vectors rendered as transposes of column matrices \left[\begin{array}{rrr}1 & 2 & 3\end{array}\right]^T.