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{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"numpy.ndarray * control.TransferFunction gives array object","articleBody":"`TransferFunction` doesn't have the `__array_priority = 11` class attribute that `StateSpace` and `FrequencyResponseData` do.  Is this on purpose?  See below for results of `array * tf`, which results in an array (dtype object), and `array * ss`, which results in a SS object.  I found this while investigating the behaviour of `bdalg.connect` in relation with #421 \r\n\r\nShould multiplication of scalar transfer functions by arrays be special-cased so that, e.g., with scalar tf `k`, `k * eye(5)` gives a 5x5 TF with identical entries on the diagonal?  I think this sort of convention is used in literature, but it might be tricky to get something consistent here (e.g., should 1-input 1-output state-space systems do something analogous?; should one do general broadcasting?)\r\n\r\n```\r\n(control-dev) rory@rory-latitude:~/src/python-control$ ipython\r\nPython 3.8.5 | packaged by conda-forge | (default, Jul 31 2020, 02:39:48) \r\nType 'copyright', 'credits' or 'license' for more information\r\nIPython 7.17.0 -- An enhanced Interactive Python. Type '?' for help.\r\n\r\nIn [1]: !git describe                                                                                                  \r\n0.8.3-62-g6ede92e\r\n\r\nIn [2]: import control                                                                                                 \r\n\r\nIn [3]: import numpy as np                                                                                             \r\n\r\nIn [4]: np.array([[1]]) * control.tf([1], [1,1])                                                                       \r\nOut[4]: array([[TransferFunction(array([1.]), array([1, 1]))]], dtype=object)\r\n\r\nIn [5]: np.array([[1]]) * control.ss([[-1]], [[1]], [[1]], [[0]])                                                      \r\nOut[5]: StateSpace(array([[-1.]]), array([[1.]]), array([[1.]]), array([[0.]]))\r\n```","author":{"url":"https://github.com/roryyorke","@type":"Person","name":"roryyorke"},"datePublished":"2020-08-22T11:34:05.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":6},"url":"https://github.com/459/python-control/issues/459"}