René's URL Explorer Experiment

{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"[Bug]: stem complaining about PyTorch's Tensor","articleBody":"### Bug summary\n\n`stem` breaks when I specify the horizontal components with a PyTorch Tensor.\n\n### Code for reproduction\n\n```Python\nimport torch\nfrom matplotlib import pyplot as plt\n\nx = torch.arange(10.)\ny = (x * .2 * torch.pi).sin()\nplt.plot(x, y)  # works\nplt.stem(x, y)  # breaks\nplt.stem(x.numpy(), y)  # works\n```\n\n### Actual outcome\n\n```python\nTypeError: min() received an invalid combination of arguments - got (out=NoneType, axis=NoneType, ), but expected one of:\n * ()\n * (Tensor other)\n * (int dim, bool keepdim = False)\n      didn't match because some of the keywords were incorrect: out, axis\n * (name dim, bool keepdim = False)\n      didn't match because some of the keywords were incorrect: out, axis\n```\n\n\u003cdetails\u003e\u003csummary\u003eFull traceback\u003c/summary\u003e\n\u003cp\u003e\n\n```python\n---------------------------------------------------------------------------\nTypeError                                 Traceback (most recent call last)\nCell In[50], line 7\n      5 y = (x * .2 * torch.pi).sin()\n      6 plt.plot(x, y)  # works\n----\u003e 7 plt.stem(x, y)  # breaks\n      8 plt.stem(x.numpy(), y)  # works\n\nFile [/opt/homebrew/Caskroom/miniconda/base/envs/book/lib/python3.13/site-packages/matplotlib/pyplot.py:4085](http://localhost:8888/opt/homebrew/Caskroom/miniconda/base/envs/book/lib/python3.13/site-packages/matplotlib/pyplot.py#line=4084), in stem(linefmt, markerfmt, basefmt, bottom, label, orientation, data, *args)\n   4074 @_copy_docstring_and_deprecators(Axes.stem)\n   4075 def stem(\n   4076     *args: ArrayLike | str,\n   (...)   4083     data=None,\n   4084 ) -\u003e StemContainer:\n-\u003e 4085     return gca().stem(\n   4086         *args,\n   4087         linefmt=linefmt,\n   4088         markerfmt=markerfmt,\n   4089         basefmt=basefmt,\n   4090         bottom=bottom,\n   4091         label=label,\n   4092         orientation=orientation,\n   4093         **({\"data\": data} if data is not None else {}),\n   4094     )\n\nFile [/opt/homebrew/Caskroom/miniconda/base/envs/book/lib/python3.13/site-packages/matplotlib/__init__.py:1521](http://localhost:8888/opt/homebrew/Caskroom/miniconda/base/envs/book/lib/python3.13/site-packages/matplotlib/__init__.py#line=1520), in _preprocess_data.\u003clocals\u003e.inner(ax, data, *args, **kwargs)\n   1518 @functools.wraps(func)\n   1519 def inner(ax, *args, data=None, **kwargs):\n   1520     if data is None:\n-\u003e 1521         return func(\n   1522             ax,\n   1523             *map(cbook.sanitize_sequence, args),\n   1524             **{k: cbook.sanitize_sequence(v) for k, v in kwargs.items()})\n   1526     bound = new_sig.bind(ax, *args, **kwargs)\n   1527     auto_label = (bound.arguments.get(label_namer)\n   1528                   or bound.kwargs.get(label_namer))\n\nFile [/opt/homebrew/Caskroom/miniconda/base/envs/book/lib/python3.13/site-packages/matplotlib/axes/_axes.py:3216](http://localhost:8888/opt/homebrew/Caskroom/miniconda/base/envs/book/lib/python3.13/site-packages/matplotlib/axes/_axes.py#line=3215), in Axes.stem(self, linefmt, markerfmt, basefmt, bottom, label, orientation, *args)\n   3214     marker_x = locs\n   3215     marker_y = heads\n-\u003e 3216     baseline_x = [np.min(locs), np.max(locs)]\n   3217     baseline_y = [bottom, bottom]\n   3219 markerline, = self.plot(marker_x, marker_y,\n   3220                         color=markercolor, linestyle=markerstyle,\n   3221                         marker=markermarker, label=\"_nolegend_\")\n\nFile [/opt/homebrew/Caskroom/miniconda/base/envs/book/lib/python3.13/site-packages/numpy/_core/fromnumeric.py:3301](http://localhost:8888/opt/homebrew/Caskroom/miniconda/base/envs/book/lib/python3.13/site-packages/numpy/_core/fromnumeric.py#line=3300), in min(a, axis, out, keepdims, initial, where)\n   3189 @array_function_dispatch(_min_dispatcher)\n   3190 def min(a, axis=None, out=None, keepdims=np._NoValue, initial=np._NoValue,\n   3191         where=np._NoValue):\n   3192     \"\"\"\n   3193     Return the minimum of an array or minimum along an axis.\n   3194 \n   (...)   3299     6\n   3300     \"\"\"\n-\u003e 3301     return _wrapreduction(a, np.minimum, 'min', axis, None, out,\n   3302                           keepdims=keepdims, initial=initial, where=where)\n\nFile [/opt/homebrew/Caskroom/miniconda/base/envs/book/lib/python3.13/site-packages/numpy/_core/fromnumeric.py:84](http://localhost:8888/opt/homebrew/Caskroom/miniconda/base/envs/book/lib/python3.13/site-packages/numpy/_core/fromnumeric.py#line=83), in _wrapreduction(obj, ufunc, method, axis, dtype, out, **kwargs)\n     82             return reduction(axis=axis, dtype=dtype, out=out, **passkwargs)\n     83         else:\n---\u003e 84             return reduction(axis=axis, out=out, **passkwargs)\n     86 return ufunc.reduce(obj, axis, dtype, out, **passkwargs)\n\nTypeError: min() received an invalid combination of arguments - got (out=NoneType, axis=NoneType, ), but expected one of:\n * ()\n * (Tensor other)\n * (int dim, bool keepdim = False)\n      didn't match because some of the keywords were incorrect: out, axis\n * (name dim, bool keepdim = False)\n      didn't match because some of the keywords were incorrect: out, axis\n```\n\n\u003c/p\u003e\n\u003c/details\u003e \n\n### Expected outcome\n\nMost of the time, matplotlib is capable of plotting tensors without issues.\n\n### Additional information\n\nPyTorch version: 2.7.0\n\n### Operating system\n\n_No response_\n\n### Matplotlib Version\n\n3.10.3\n\n### Matplotlib Backend\n\nmodule://matplotlib_inline.backend_inline\n\n### Python version\n\n3.13.5\n\n### Jupyter version\n\n4.4.3\n\n### Installation\n\nconda","author":{"url":"https://github.com/Atcold","@type":"Person","name":"Atcold"},"datePublished":"2025-06-25T21:01:29.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":6},"url":"https://github.com/30216/matplotlib/issues/30216"}