Closed
Description
Bug summary
Value error occurs when trying to plot a 2D pytorch tensor using matplotlib==3.8.0. The error does not arise in matplotlib==3.7.3.
Code for reproduction
# Using matplotlib==3.8.0
>>> import torch
>>> import matplotlib as mplt
>>> mplt.__version__
'3.8.0'
>>> import matplotlib.pyplot as plt
>>> a = torch.randn(185,5)
>>> plt.plot(a)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File ".../lib/python3.11/site-packages/matplotlib/pyplot.py", line 3578, in plot
return gca().plot(
^^^^^^^^^^^
File ".../lib/python3.11/site-packages/matplotlib/axes/_axes.py", line 1721, in plot
lines = [*self._get_lines(self, *args, data=data, **kwargs)]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File ".../lib/python3.11/site-packages/matplotlib/axes/_base.py", line 303, in __call__
yield from self._plot_args(
^^^^^^^^^^^^^^^^
File ".../lib/python3.11/site-packages/matplotlib/axes/_base.py", line 496, in _plot_args
axes.yaxis.update_units(y)
File ".../lib/python3.11/site-packages/matplotlib/axis.py", line 1706, in update_units
converter = munits.registry.get_converter(data)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File ".../lib/python3.11/site-packages/matplotlib/units.py", line 183, in get_converter
first = cbook._safe_first_finite(x)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File ".../lib/python3.11/site-packages/matplotlib/cbook.py", line 1730, in _safe_first_finite
if safe_isfinite(val):
^^^^^^^^^^^^^^^^^^
File ".../lib/python3.11/site-packages/matplotlib/cbook.py", line 1699, in safe_isfinite
return math.isfinite(val)
^^^^^^^^^^^^^^^^^^
ValueError: only one element tensors can be converted to Python scalars
>>> b = torch.randn(185)
>>> plt.plot(b)
[<matplotlib.lines.Line2D object at 0x7f27d7ccc190>]
# Using matplotlib==3.7.3
>>> import torch
>>> import matplotlib as mplt
>>> mplt.__version__
'3.7.3'
>>> import matplotlib.pyplot as plt
>>> a = torch.randn(185,5)
>>> plt.plot(a)
[<matplotlib.lines.Line2D object at 0x7f19762d7910>, <matplotlib.lines.Line2D object at 0x7f1976684250>, <matplotlib.lines.Line2D object at 0x7f19764d5150>, <matplotlib.lines.Line2D object at 0x7f197598f9d0>, <matplotlib.lines.Line2D object at 0x7f19762bff50>]Actual outcome
(included REPL output in above example)
Expected outcome
Expect 5 line series (one for each of the second dimension of the tensor)
Additional information
The bug seems to occur in version 3.8.0. (In both cases I was using torch==2.0.1)
Operating system
Ubuntu
Matplotlib Version
3.8.0 and 3.7.3
Matplotlib Backend
TkAgg
Python version
Python 3.11.5
Jupyter version
N/A
Installation
pip