René's URL Explorer Experiment

{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"broken_barh appears not to work with datetime/timedelta objects","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 `Axis.broken_barh` function takes an `xranges` parameter described as \"The x-positions and extends of the rectangles\". But if I'm plotting datetime values on the axis, it appears impossible to supply an extent value of a type that the function can deal with.\r\n\r\nUsing `datetime.timedelta` raises an exception `AttributeError: 'datetime.timedelta' object has no attribute 'toordinal'`, as does using an integer. Using a `datetime` value causes the bar to extend too far (which I guess isn't surprising, as `toordinal` on a datetime will *not* give a duration).\r\n\r\n**Code for reproduction**\r\n\r\n```python\r\nimport matplotlib.pyplot as plt\r\nfrom datetime import datetime, timedelta\r\n\r\nlo = datetime.fromisoformat(\"2018-11-09 20:00\")\r\nhi = datetime.fromisoformat(\"2018-11-09 22:00\")\r\n\r\nfig, ax = plt.subplots()\r\n\r\nax.set_xlim(lo, hi)\r\nax.set_ylim(0, 30)\r\nax.broken_barh([(lo, timedelta(hours=1))], (10, 20))\r\n\r\nplt.show()\r\n```\r\n\r\n**Actual outcome**\r\n\r\n```\r\nTraceback (most recent call last):\r\n  File \".\\problem.py\", line 11, in \u003cmodule\u003e\r\n    ax.broken_barh([(lo, timedelta(hours=1))], (10, 20))\r\n  File \"C:\\...\\lib\\site-packages\\matplotlib\\__init__.py\", line 1810, in inner\r\n    return func(ax, *args, **kwargs)\r\n  File \"C:\\...\\lib\\site-packages\\matplotlib\\axes\\_axes.py\", line 2528, in broken_barh\r\n    xranges = self.convert_xunits(xranges)\r\n  File \"C:\\...\\lib\\site-packages\\matplotlib\\artist.py\", line 186, in convert_xunits\r\n    return ax.xaxis.convert_units(x)\r\n  File \"C:\\...\\lib\\site-packages\\matplotlib\\axis.py\", line 1530, in convert_units\r\n    ret = self.converter.convert(x, self.units, self)\r\n  File \"C:\\...\\lib\\site-packages\\matplotlib\\dates.py\", line 1801, in convert\r\n    return date2num(value)\r\n  File \"C:\\...\\lib\\site-packages\\matplotlib\\dates.py\", line 428, in date2num\r\n    return _to_ordinalf_np_vectorized(d)\r\n  File \"C:\\...\\lib\\site-packages\\numpy\\lib\\function_base.py\", line 1972, in __call__\r\n    return self._vectorize_call(func=func, args=vargs)\r\n  File \"C:\\...\\lib\\site-packages\\numpy\\lib\\function_base.py\", line 2048, in _vectorize_call\r\n    outputs = ufunc(*inputs)\r\n  File \"C:\\...\\lib\\site-packages\\matplotlib\\dates.py\", line 229, in _to_ordinalf\r\n    base = float(dt.toordinal())\r\nAttributeError: 'datetime.timedelta' object has no attribute 'toordinal'\r\n```\r\n\r\n**Expected outcome**\r\n\r\nA graph showing a single bar from 20:00 to 21:00.\r\n\r\nIf this is a limitation of the current version of matplotlib, I'd be perfectly happy with a workaround that gave the expected result by another means (but the approaches I've tried have resulted in the axis tick marks not being correctly formatted as times).\r\n\r\n**Matplotlib version**\r\n  * Operating system: Windows 7\r\n  * Matplotlib version: 3.0.2\r\n  * Matplotlib backend (`print(matplotlib.get_backend())`): TkAgg\r\n  * Python version: 3.7.1\r\n  * Jupyter version (if applicable): N/A\r\n  * Other libraries: None\r\n\r\nPython installed from the python.org Windows 64-bit installer. Matplotlib installed from the wheel on PyPI (`pipenv install matplotlib`).","author":{"url":"https://github.com/pfmoore","@type":"Person","name":"pfmoore"},"datePublished":"2018-11-21T15:31:03.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":1},"url":"https://github.com/12862/matplotlib/issues/12862"}