René's URL Explorer Experiment

{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"PySmithPlot/Polar Plot update broken in 2.1.2 (works in 2.0.2)  ","articleBody":"\u003c!--To help us understand and resolve your issue, please fill out the form to the best of your ability.--\u003e\r\n\u003c!--You can feel free to delete the sections that do not apply.--\u003e\r\n\r\n### Bug report\r\n\r\n**Bug summary**\r\n\r\nThe smith chart grid is distorted in 2.1.2, correct in 2.0.2.\r\nUpdating the polar plot data blanks the plot in 2.1.2, updates properly in 2.0.2.\r\n\r\nIn both versions when I create the plots/lines I see:\r\n\r\n/Users/chrisgmorton/usr/tcad/fusion/prod/lib/python3.6/site-packages/pysmithplot-0.2.0-py3.6.egg/smithplot/smithhelper.py:46: RuntimeWarning: divide by zero encountered in true_divide\r\n/Users/chrisgmorton/usr/tcad/fusion/prod/lib/python3.6/site-packages/pysmithplot-0.2.0-py3.6.egg/smithplot/smithhelper.py:46: RuntimeWarning: invalid value encountered in true_divide\r\n/Users/chrisgmorton/usr/tcad/fusion/prod/lib/python3.6/site-packages/matplotlib/projections/polar.py:58: RuntimeWarning: invalid value encountered in less\r\n  mask = r \u003c 0\r\n\r\nOn the first update of the plots I see:\r\n\r\nUsers/chrisgmorton/usr/tcad/fusion/prod/lib/python3.6/site-packages/matplotlib/projections/polar.py:58: RuntimeWarning: invalid value encountered in less\r\n  mask = r \u003c 0\r\n\r\nand the polar plots are then blanked out (not so with 2.0.2).\r\n\r\n**Code for reproduction**\r\n\r\n\u003c!--A minimum code snippet required to reproduce the bug, also minimizing the number of dependencies required--\u003e\r\nPlots are built with:\r\n```python\r\n        self.axes=[]\r\n        n = self.numberOfPorts\r\n        \r\n        for i,j in self.indices:\r\n            if i==j: self.axes.append(self.fig.add_subplot(n,n,1+i*2+j, projection='smith'))\r\n            else: self.axes.append(self.fig.add_subplot(n,n,1+i*2+j, projection='polar'))\r\n\r\n        for k,(i,j) in enumerate(self.indices):\r\n            self.axes[k].tick_params(which='major', labelsize=10)\r\n\r\n        self.fig.subplots_adjust(top=0.9)\r\n```\r\nLines initialized with:\r\n```python\r\n        self.lines=[]\r\n        \r\n        for m,(i,j) in enumerate(self.indices):\r\n\r\n            if i==j: # Smith Chart\r\n                S=self.Splt.T[j,i].T\r\n                Z = (1+S)/(1-S) # normalized impedance on Smith Chart\r\n\r\n                self.lines.append(self.axes[m].plot(Z.T, color='b', marker='', markerfacecolor='b', markeredgecolor='b'))\r\n            else: # Polar Plot\r\n                S = self.Splt.T[j,i].T\r\n                self.lines.append(self.axes[m].plot(np.angle(S.T), np.absolute(S.T), color='r', marker='', markerfacecolor='r', markeredgecolor='r'))\r\n```\r\n\r\nLines updated with:\r\n```python\r\n        for k,(i,j) in enumerate(self.indices):\r\n            \r\n            if i==j: # Smith Chart\r\n                S=self.Splt.T[j,i].T\r\n                Z = (1+S)/(1-S) # normalized impedance on Smith Chart\r\n\r\n                [line.set_xdata(np.real(Z[idx])) for idx, line in enumerate(self.lines[k])]\r\n                [line.set_ydata(np.imag(Z[idx])) for idx, line in enumerate(self.lines[k])]\r\n                \r\n            else: # Polar Plot\r\n                S = self.Splt.T[j,i].T\r\n\r\n                [line.set_xdata(np.angle(S[idx])) for idx, line in enumerate(self.lines[k])]\r\n                [line.set_ydata(np.absolute(S[idx])) for idx, line in enumerate(self.lines[k])]\r\n```\r\n**Actual outcome**\r\n\r\n\u003c!--The output produced by the above code, which may be a screenshot, console output, etc.--\u003e\r\nMatplotlib 2.1.2 output, on completion of simulation:\r\n\r\n![screen shot 2018-03-02 at 4 59 20 pm](https://user-images.githubusercontent.com/4575602/36928721-2bb3ae6e-1e3d-11e8-84bf-3962889cf1ec.png)\r\n\r\n**Expected outcome**\r\n\r\n\u003c!--A description of the expected outcome from the code snippet--\u003e\r\n\u003c!--If this used to work in an earlier version of Matplotlib, please note the version it used to work on--\u003e\r\nMatplotlib 2.0.2 output, on completion of simulation:\r\n\r\n![screen shot 2018-03-02 at 3 18 06 pm](https://user-images.githubusercontent.com/4575602/36928741-68999b86-1e3d-11e8-9f95-406aa8aef567.png)\r\n\r\n**Matplotlib version**\r\n\u003c!--Please specify your platform and versions of the relevant libraries you are using:--\u003e\r\n  * Operating system: Ubuntu 16.04 and OSX 10.13.3\r\n  * Matplotlib version: 2.1.2\r\n  * Matplotlib backend: Qt5Agg (Qt5.10)\r\n  * Python version: 3.6.4\r\n  * PySmithPlot version: 0.2\r\n\r\n\u003c!--Please tell us how you installed matplotlib and python e.g., from source, pip, conda--\u003e\r\nMatplotlib installed using pip. Qt5 and PyQt5 built from source. Python 3.6.4 built from source.\r\n\u003c!--If you installed from conda, please specify which channel you used if not the default--\u003e","author":{"url":"https://github.com/chrisgmorton","@type":"Person","name":"chrisgmorton"},"datePublished":"2018-03-03T01:31:01.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":31},"url":"https://github.com/10654/matplotlib/issues/10654"}