(self, f)
return out
Apply a function to each element of the matrix.

        Examples
        ========

        >>> from sympy.matrices import SparseMatrix
        >>> m = SparseMatrix(2, 2, lambda i, j: i*2+j)
        >>> m
        Matrix([
        [0, 1],
        [2, 3]])
        >>> m.applyfunc(lambda i: 2*i)
        Matrix([
        [0, 2],
        [4, 6]])
Apply a function to each element of the matrix.
Apply a function to each element of the matrix .
def applyfunc(self, f):
        """Apply a function to each element of the matrix.

        Examples
        ========

        >>> from sympy.matrices import SparseMatrix
        >>> m = SparseMatrix(2, 2, lambda i, j: i*2+j)
        >>> m
        Matrix([
        [0, 1],
        [2, 3]])
        >>> m.applyfunc(lambda i: 2*i)
        Matrix([
        [0, 2],
        [4, 6]])

        """
        if not callable(f):
            raise TypeError("`f` must be callable.")

        out = self.copy()
        for k, v in self._smat.items():
            fv = f(v)
            if fv:
                out._smat[k] = fv
            else:
                out._smat.pop(k, None)
        return out
def applyfunc ( self , f ) : if not callable ( f ) : raise TypeError ( "`f` must be callable." ) out = self . copy ( ) for k , v in self . _smat . items ( ) : fv = f ( v ) if fv : out . _smat [ k ] = fv else : out . _smat . pop ( k , None ) return out