I have two 6x6 matrices. Here I'll just show the first two rows and columns:
import sympy as sp
values = sp.Matrix([[-0.403900000000000, 0.158730000000000], [-1.52350000000000, -1.87937000000000]])
uncertainties = sp.Matrix([[0.000600000000000000, 0.000280000000000000], [0.000270000000000000, 0.000170000000000000]])
I want to get a matrix where the [0][0] element would look like "-0.4039 +- 0.0006". And this for every element, so that i can export this matrix to latex.
How do I do this?
I tried using
f"{values[i][j]} +- {uncertainties[i][j]}"
for all i and j, but that just gave me value[i][j] - uncertainty[i][j]
I couldn't find this on the internet. Do I need to look into latex for loops? Or can I do that in sympy? I jsut really really don't want to manually put the uncertainty behind every matrix element in multiple matrices.
Thanks!
Matrix cannot hold strings but it can hold Symbols with arbitrary names. Does the following produce the right latex?
>>> str(Float(.4309).round(4))+' +- 0.006'
'0.4309 +- 0.006'
>>> Matrix([[Symbol(_)]])
Matrix([[0.4309 +- 0.006]])
If so then it's just a matter of knowing what decimal to round to and then putting the Symbols in place. I would probably have a values matrix and an uncertainties matrix and a function that puts them together and outputs the special symbol matrix. The uncertainties package might be of use in creating the strings.