import numpy as np
a=random_matrix(ZZ,1,5)
tuple(np.array(a).tolist()[0])
is there something more native ?
motivation: sagematrix,it seems, are not "hashable" and cannot be used as keys in lists to do groupby/countby
You can do:
sage: a=random_matrix(ZZ,1,5)
sage: a
[-62 3 3 1 1]
sage: tuple(a.row(0))
(-62, 3, 3, 1, 1)
sage: hash(tuple(a.row(0)))
-3691849509262070773
Concerning your
motivation: sagematrix,it seems, are not "hashable" and cannot be used as keys in lists to do groupby/countby
I'd like to make a comment. Matrices in sage are, by default, mutable and hence (just like lists in python) not hashable. You can set a matrix to be immutable, and if its entries are hashable, the matrix itself will also be hashable.
sage: A=random_matrix(ZZ,1,5)
sage: hash(A)
TypeError: mutable matrices are unhashable
sage: A.set_immutable()
sage: hash(A)
-4
If you're OK with your matrices being immutable, this can save you having to copy the entries into tuples.
Asked: 2016-07-04 06:41:39 +0100
Seen: 1,457 times
Last updated: Jul 04 '16
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