Apr 7, 2019 · Feb 24, 2019 · Feb 25, 2019 · Mar 28, 2019
diff --git a/control/xferfcn.py b/control/xferfcn.py
    # represent as string, makes display work for IPython
    __repr__ = __str__

    def _repr_latex_(self, var=None):
        """LaTeX representation of the transfer function, for Jupyter notebook"""

        mimo = self.inputs > 1 or self.outputs > 1

        if var is None:
            # ! TODO: replace with standard calls to lti functions
            var = 's' if self.dt is None or self.dt == 0 else 'z'

        out = ['$$']

        if mimo:
            out.append(r"\begin{bmatrix}")

        for i in range(self.outputs):
            for j in range(self.inputs):
                # Convert the numerator and denominator polynomials to strings.
                numstr = _tf_polynomial_to_string(self.num[i][j], var=var)
                denstr = _tf_polynomial_to_string(self.den[i][j], var=var)

                out += [r"\frac{", numstr, "}{", denstr, "}"]

                if mimo and j < self.outputs - 1:
                    out.append("&")

            if mimo:
                out.append(r"\\")

        if mimo:
            out.append(r" \end{bmatrix}")

        # See if this is a discrete time system with specific sampling time
        if not (self.dt is None) and type(self.dt) != bool and self.dt > 0:
            out += ["\quad dt = ", str(self.dt)]

        out.append("$$")

        return ''.join(out)

    def __neg__(self):
        """Negate a transfer function."""
Original file line number	Diff line number	Diff line change
Expand Up		@@ -268,6 +268,45 @@ def __str__(self, var=None):
		# represent as string, makes display work for IPython
		__repr__ = __str__

		def _repr_latex_(self, var=None):
		"""LaTeX representation of the transfer function, for Jupyter notebook"""

		mimo = self.inputs > 1 or self.outputs > 1

		if var is None:
		# ! TODO: replace with standard calls to lti functions
		var = 's' if self.dt is None or self.dt == 0 else 'z'

		out = ['$$']

		if mimo:
		out.append(r"\begin{bmatrix}")

		for i in range(self.outputs):
		for j in range(self.inputs):
		# Convert the numerator and denominator polynomials to strings.
		numstr = _tf_polynomial_to_string(self.num[i][j], var=var)
		denstr = _tf_polynomial_to_string(self.den[i][j], var=var)

		out += [r"\frac{", numstr, "}{", denstr, "}"]

		if mimo and j < self.outputs - 1:
		out.append("&")

		if mimo:
		out.append(r"\\")

		if mimo:
		out.append(r" \end{bmatrix}")

		# See if this is a discrete time system with specific sampling time
		if not (self.dt is None) and type(self.dt) != bool and self.dt > 0:
		out += ["\quad dt = ", str(self.dt)]

		out.append("$$")

		return ''.join(out)

		def __neg__(self):
		"""Negate a transfer function."""

Expand Down