import sympy
from sympy.printing.latex import LatexPrinter
class CustomLatexPrinter(LatexPrinter):
def _print_Adjoint(self, expr):
mat = expr.arg
from sympy.matrices import MatrixSymbol
if not isinstance(mat, MatrixSymbol):
return r"\left(%s\right)^H" % self._print(mat)
else:
return "%s^H" % self._print(mat)
sympy.init_session()
sympy.Basic.__str__ = lambda self: CustomLatexPrinter().doprint(self)
Nk, Nx = sympy.symbols('N_k N_x')
FT = sympy.MatrixSymbol('\mathcal{F}', Nx, Nk)
s = sympy.MatrixSymbol('s',Nk,1)
Sigmax = sympy.MatrixSymbol('\Sigma_x', Nx, Nx)
Sigmak = sympy.MatrixSymbol('\Sigma_k', Nk, Nk)
W = sympy.MatrixSymbol('W',Nk,Nk)
F = FT*W
m = sympy.MatrixSymbol('m',1,Nx)
Sigmax = m*F*Sigmak*F.adjoint()*m.adjoint()
latex(Sigmax)
Last line's result is:
'm \\mathcal{F} W \\Sigma_{k} W^\\dag \\mathcal{F}^\\dag m^\\dag'
If I do:
tmp = CustomLatexPrinter()
tmp.doprint(Sigmax)
The result is:
'm \\mathcal{F} W \\Sigma_{k} W^H \\mathcal{F}^H m^H'
I think I just don't know what to overload.
On Sunday, January 31, 2016 at 3:04:32 PM UTC-5, Michael Hansen wrote:
>
> Quick question. Is there a way to change what symbols are used for things
> like adjoint for a matrix. In latex, it is currently \dagger but I would
> rather use "H" or something like that.
>
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