René's URL Explorer Experiment

{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"Regression when calling annotate with nan values for the position","articleBody":"The following code:\r\n\r\n```python\r\nimport matplotlib.pyplot as plt\r\nplt.annotate('X', (0, float('nan')))\r\nplt.tight_layout()\r\nplt.savefig('crash.png')\r\n```\r\nraises an exception when using matplotlib 3, including 3.0.1.\r\nIt works fine with matplotlib 2.\r\n\r\n```python-traceback\r\n/tmp/mpl3/lib/python3.7/site-packages/numpy/core/fromnumeric.py:83: RuntimeWarning: invalid value encountered in reduce\r\n  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)\r\n/tmp/mpl3/lib/python3.7/site-packages/numpy/core/_methods.py:32: RuntimeWarning: invalid value encountered in reduce\r\n  return umr_minimum(a, axis, None, out, keepdims, initial)\r\n/tmp/mpl3/lib/python3.7/site-packages/numpy/core/_methods.py:28: RuntimeWarning: invalid value encountered in reduce\r\n  return umr_maximum(a, axis, None, out, keepdims, initial)\r\nTraceback (most recent call last):\r\n  File \"mplbug.py\", line 5, in \u003cmodule\u003e\r\n    plt.savefig('crash.png')\r\n  File \"/tmp/mpl3/lib/python3.7/site-packages/matplotlib/pyplot.py\", line 689, in savefig\r\n    res = fig.savefig(*args, **kwargs)\r\n  File \"/tmp/mpl3/lib/python3.7/site-packages/matplotlib/figure.py\", line 2094, in savefig\r\n    self.canvas.print_figure(fname, **kwargs)\r\n  File \"/tmp/mpl3/lib/python3.7/site-packages/matplotlib/backends/backend_qt5agg.py\", line 88, in print_figure\r\n    super().print_figure(*args, **kwargs)\r\n  File \"/tmp/mpl3/lib/python3.7/site-packages/matplotlib/backend_bases.py\", line 2075, in print_figure\r\n    **kwargs)\r\n  File \"/tmp/mpl3/lib/python3.7/site-packages/matplotlib/backends/backend_agg.py\", line 510, in print_png\r\n    FigureCanvasAgg.draw(self)\r\n  File \"/tmp/mpl3/lib/python3.7/site-packages/matplotlib/backends/backend_agg.py\", line 402, in draw\r\n    self.figure.draw(self.renderer)\r\n  File \"/tmp/mpl3/lib/python3.7/site-packages/matplotlib/artist.py\", line 50, in draw_wrapper\r\n    return draw(artist, renderer, *args, **kwargs)\r\n  File \"/tmp/mpl3/lib/python3.7/site-packages/matplotlib/figure.py\", line 1649, in draw\r\n    renderer, self, artists, self.suppressComposite)\r\n  File \"/tmp/mpl3/lib/python3.7/site-packages/matplotlib/image.py\", line 138, in _draw_list_compositing_images\r\n    a.draw(renderer)\r\n  File \"/tmp/mpl3/lib/python3.7/site-packages/matplotlib/artist.py\", line 50, in draw_wrapper\r\n    return draw(artist, renderer, *args, **kwargs)\r\n  File \"/tmp/mpl3/lib/python3.7/site-packages/matplotlib/axes/_base.py\", line 2610, in draw\r\n    mimage._draw_list_compositing_images(renderer, self, artists)\r\n  File \"/tmp/mpl3/lib/python3.7/site-packages/matplotlib/image.py\", line 138, in _draw_list_compositing_images\r\n    a.draw(renderer)\r\n  File \"/tmp/mpl3/lib/python3.7/site-packages/matplotlib/artist.py\", line 50, in draw_wrapper\r\n    return draw(artist, renderer, *args, **kwargs)\r\n  File \"/tmp/mpl3/lib/python3.7/site-packages/matplotlib/axis.py\", line 1185, in draw\r\n    ticks_to_draw = self._update_ticks(renderer)\r\n  File \"/tmp/mpl3/lib/python3.7/site-packages/matplotlib/axis.py\", line 1023, in _update_ticks\r\n    tick_tups = list(self.iter_ticks())  # iter_ticks calls the locator\r\n  File \"/tmp/mpl3/lib/python3.7/site-packages/matplotlib/axis.py\", line 967, in iter_ticks\r\n    majorLocs = self.major.locator()\r\n  File \"/tmp/mpl3/lib/python3.7/site-packages/matplotlib/ticker.py\", line 1985, in __call__\r\n    return self.tick_values(vmin, vmax)\r\n  File \"/tmp/mpl3/lib/python3.7/site-packages/matplotlib/ticker.py\", line 1993, in tick_values\r\n    locs = self._raw_ticks(vmin, vmax)\r\n  File \"/tmp/mpl3/lib/python3.7/site-packages/matplotlib/ticker.py\", line 1932, in _raw_ticks\r\n    nbins = np.clip(self.axis.get_tick_space(),\r\n  File \"/tmp/mpl3/lib/python3.7/site-packages/matplotlib/axis.py\", line 2159, in get_tick_space\r\n    return int(np.floor(length / size))\r\nValueError: cannot convert float NaN to integer\r\n```\r\n\r\n\r\nBased on the traceback, the following issues might be related:\r\n\r\n#10360 (likely this is a duplicate)\r\n#11386\r\n#6789\r\n\r\nThe snippet has been tested on brand new conda environments with the defaults\r\nchannel.\r\n\r\n\u003cdetails\u003e\r\n\u003csummary\u003eMatplotlib 3 env \u003c/summary\u003e\r\n\r\n```\r\n$ conda create -p /tmp/mpl3 matplotlib=3 --yes\r\nSolving environment: done\r\n\r\n## Package Plan ##\r\n\r\n  environment location: /tmp/mpl3\r\n\r\n  added / updated specs: \r\n    - matplotlib=3\r\n\r\n\r\nThe following packages will be downloaded:\r\n\r\n    package                    |            build\r\n    ---------------------------|-----------------\r\n    matplotlib-3.0.1           |   py37h5429711_0         6.6 MB\r\n\r\nThe following NEW packages will be INSTALLED:\r\n\r\n    blas:             1.0-mkl                \r\n    ca-certificates:  2018.03.07-0           \r\n    certifi:          2018.10.15-py37_0      \r\n    cycler:           0.10.0-py37_0          \r\n    dbus:             1.13.2-h714fa37_1      \r\n    expat:            2.2.6-he6710b0_0       \r\n    fontconfig:       2.13.0-h9420a91_0      \r\n    freetype:         2.9.1-h8a8886c_1       \r\n    glib:             2.56.2-hd408876_0      \r\n    gst-plugins-base: 1.14.0-hbbd80ab_1      \r\n    gstreamer:        1.14.0-hb453b48_1      \r\n    icu:              58.2-h9c2bf20_1        \r\n    intel-openmp:     2019.0-118             \r\n    jpeg:             9b-h024ee3a_2          \r\n    kiwisolver:       1.0.1-py37hf484d3e_0   \r\n    libedit:          3.1.20170329-h6b74fdf_2\r\n    libffi:           3.2.1-hd88cf55_4       \r\n    libgcc-ng:        8.2.0-hdf63c60_1       \r\n    libgfortran-ng:   7.3.0-hdf63c60_0       \r\n    libpng:           1.6.35-hbc83047_0      \r\n    libstdcxx-ng:     8.2.0-hdf63c60_1       \r\n    libuuid:          1.0.3-h1bed415_2       \r\n    libxcb:           1.13-h1bed415_1        \r\n    libxml2:          2.9.8-h26e45fe_1       \r\n    matplotlib:       3.0.1-py37h5429711_0   \r\n    mkl:              2019.0-118             \r\n    mkl_fft:          1.0.6-py37h7dd41cf_0   \r\n    mkl_random:       1.0.1-py37h4414c95_1   \r\n    ncurses:          6.1-hf484d3e_0         \r\n    numpy:            1.15.3-py37h1d66e8a_0  \r\n    numpy-base:       1.15.3-py37h81de0dd_0  \r\n    openssl:          1.0.2p-h14c3975_0      \r\n    pcre:             8.42-h439df22_0        \r\n    pip:              10.0.1-py37_0          \r\n    pyparsing:        2.2.2-py37_0           \r\n    pyqt:             5.9.2-py37h05f1152_2   \r\n    python:           3.7.0-h6e4f718_3       \r\n    python-dateutil:  2.7.3-py37_0           \r\n    pytz:             2018.5-py37_0          \r\n    qt:               5.9.6-h8703b6f_2       \r\n    readline:         7.0-h7b6447c_5         \r\n    setuptools:       40.4.3-py37_0          \r\n    sip:              4.19.8-py37hf484d3e_0  \r\n    six:              1.11.0-py37_1          \r\n    sqlite:           3.25.2-h7b6447c_0      \r\n    tk:               8.6.8-hbc83047_0       \r\n    tornado:          5.1.1-py37h7b6447c_0   \r\n    wheel:            0.32.2-py37_0          \r\n    xz:               5.2.4-h14c3975_4       \r\n    zlib:             1.2.11-ha838bed_2      \r\n\r\n\r\nDownloading and Extracting Packages\r\nmatplotlib-3.0.1     | 6.6 MB    | ########################################################################### | 100% \r\nPreparing transaction: done\r\nVerifying transaction: done\r\nExecuting transaction: done\r\n#\r\n# To activate this environment, use\r\n#\r\n#     $ conda activate /tmp/mpl3\r\n#\r\n# To deactivate an active environment, use\r\n#\r\n#     $ conda deactivate\r\n\r\n```\r\n\r\n\u003c/details\u003e\r\n\r\n\u003cdetails\u003e\r\n\u003csummary\u003eMatplotlib 2 conda environment\u003c/summary\u003e\r\n\r\n```\r\n$ conda create -p /tmp/mpl2 matplotlib=2 --yes                                                       (/tmp/mpl3) \r\nSolving environment: done\r\n\r\n## Package Plan ##\r\n\r\n  environment location: /tmp/mpl2\r\n\r\n  added / updated specs: \r\n    - matplotlib=2\r\n\r\n\r\nThe following NEW packages will be INSTALLED:\r\n\r\n    blas:             1.0-mkl                \r\n    ca-certificates:  2018.03.07-0           \r\n    certifi:          2018.10.15-py37_0      \r\n    cycler:           0.10.0-py37_0          \r\n    dbus:             1.13.2-h714fa37_1      \r\n    expat:            2.2.6-he6710b0_0       \r\n    fontconfig:       2.13.0-h9420a91_0      \r\n    freetype:         2.9.1-h8a8886c_1       \r\n    glib:             2.56.2-hd408876_0      \r\n    gst-plugins-base: 1.14.0-hbbd80ab_1      \r\n    gstreamer:        1.14.0-hb453b48_1      \r\n    icu:              58.2-h9c2bf20_1        \r\n    intel-openmp:     2019.0-118             \r\n    jpeg:             9b-h024ee3a_2          \r\n    kiwisolver:       1.0.1-py37hf484d3e_0   \r\n    libedit:          3.1.20170329-h6b74fdf_2\r\n    libffi:           3.2.1-hd88cf55_4       \r\n    libgcc-ng:        8.2.0-hdf63c60_1       \r\n    libgfortran-ng:   7.3.0-hdf63c60_0       \r\n    libpng:           1.6.35-hbc83047_0      \r\n    libstdcxx-ng:     8.2.0-hdf63c60_1       \r\n    libuuid:          1.0.3-h1bed415_2       \r\n    libxcb:           1.13-h1bed415_1        \r\n    libxml2:          2.9.8-h26e45fe_1       \r\n    matplotlib:       2.2.3-py37hb69df0a_0   \r\n    mkl:              2019.0-118             \r\n    mkl_fft:          1.0.6-py37h7dd41cf_0   \r\n    mkl_random:       1.0.1-py37h4414c95_1   \r\n    ncurses:          6.1-hf484d3e_0         \r\n    numpy:            1.15.3-py37h1d66e8a_0  \r\n    numpy-base:       1.15.3-py37h81de0dd_0  \r\n    openssl:          1.0.2p-h14c3975_0      \r\n    pcre:             8.42-h439df22_0        \r\n    pip:              10.0.1-py37_0          \r\n    pyparsing:        2.2.2-py37_0           \r\n    pyqt:             5.9.2-py37h05f1152_2   \r\n    python:           3.7.0-h6e4f718_3       \r\n    python-dateutil:  2.7.3-py37_0           \r\n    pytz:             2018.5-py37_0          \r\n    qt:               5.9.6-h8703b6f_2       \r\n    readline:         7.0-h7b6447c_5         \r\n    setuptools:       40.4.3-py37_0          \r\n    sip:              4.19.8-py37hf484d3e_0  \r\n    six:              1.11.0-py37_1          \r\n    sqlite:           3.25.2-h7b6447c_0      \r\n    tk:               8.6.8-hbc83047_0       \r\n    tornado:          5.1.1-py37h7b6447c_0   \r\n    wheel:            0.32.2-py37_0          \r\n    xz:               5.2.4-h14c3975_4       \r\n    zlib:             1.2.11-ha838bed_2      \r\n\r\nPreparing transaction: done\r\nVerifying transaction: done\r\nExecuting transaction: done\r\n#\r\n# To activate this environment, use\r\n#\r\n#     $ conda activate /tmp/mpl2\r\n#\r\n# To deactivate an active environment, use\r\n#\r\n#     $ conda deactivate\r\n```\r\n\r\n\u003c/details\u003e\r\n\r\nThe issue has been encountered in real code that expects MPL to deal with nan\r\nvalues properly.\r\n","author":{"url":"https://github.com/Zaharid","@type":"Person","name":"Zaharid"},"datePublished":"2018-10-27T10:44:27.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":1},"url":"https://github.com/12648/matplotlib/issues/12648"}