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Description
Bug summary
Creating an empty FancyArrow throws an exception:
>>> import matplotlib.pyplot as plt>>> plt.arrow([], [], [], [])matplotlib/axes/_axes.py", line 5509, in arrow a = mpatches.FancyArrow(x, y, dx, dy, **kwargs)matplotlib/patches.py", line 1459, in __init__ self._make_verts()matplotlib/patches.py", line 1518, in _make_verts if not length: ^^^^^^ValueError: The truth value of an empty array is ambiguous. Use `array.size > 0` to check that an array is not empty.That exception used to throw a numpy deprecation warning, but that deprecationhas recently expired and now throws an exception.
That section appears to intend to properly handle zero-length input (matplotlib/patches.py", line 1518),
ifnotlength:self.verts=np.empty([0,2])# display nothing if empty
The fix appears to be to change theif not length toif length.size == 0.
Code for reproduction
importmatplotlib.pyplotaspltplt.arrow([], [], [], [])
Actual outcome
matplotlib/axes/_axes.py", line 5509, in arrow a = mpatches.FancyArrow(x, y, dx, dy, **kwargs)matplotlib/patches.py", line 1459, in __init__ self._make_verts()matplotlib/patches.py", line 1518, in _make_verts if not length: ^^^^^^ValueError: The truth value of an empty array is ambiguous. Use `array.size > 0` to check that an array is not empty.Expected outcome
Return a validFancyArrow
Additional information
python version 3.12
matplotlib version: 3.10.3 (latest release)
numpy version: 2.2.6 (deprecation above expired in 2.2.0, released Dec 2024)
Operating system
No response
Matplotlib Version
3.10.3
Matplotlib Backend
No response
Python version
3.12.8
Jupyter version
No response
Installation
pip
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