Closed
Description
Bug report
Bug summary
This *** ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all() error is raised when executing the bubble() function in cbook/__init__.py file.
Code for reproduction
Unfortunately I'm unable to provide an easy working example to reproduce the issue. I don't know how I ended up in this bubble() function, the line I wrote that triggered the error is:
cax=figure.add_axes([x, y, w, h])
When I tried composing a minimal example it worked fine.
Actual outcome
Below is the traceback:
Traceback (most recent call last):
File "/home/guangzhi/anaconda3/envs/cdat2b/lib/python2.7/pdb.py", line 1314, in main
pdb._runscript(mainpyfile)
File "/home/guangzhi/anaconda3/envs/cdat2b/lib/python2.7/pdb.py", line 1233, in _runscript
self.run(statement)
File "/home/guangzhi/anaconda3/envs/cdat2b/lib/python2.7/bdb.py", line 400, in run
exec cmd in globals, locals
File "<string>", line 1, in <module>
File "straighten_analysis_layers.py", line 7, in <module>
'''
File "/home/guangzhi/anaconda3/envs/cdat2b/lib/python2.7/site-packages/matplotlib/figure.py", line 1152, in add_axes
self.sca(a)
File "/home/guangzhi/anaconda3/envs/cdat2b/lib/python2.7/site-packages/matplotlib/figure.py", line 1848, in sca
self._axstack.bubble(a)
File "/home/guangzhi/anaconda3/envs/cdat2b/lib/python2.7/site-packages/matplotlib/figure.py", line 121, in bubble
return Stack.bubble(self, self._entry_from_axes(a))
File "/home/guangzhi/anaconda3/envs/cdat2b/lib/python2.7/site-packages/matplotlib/cbook/__init__.py", line 1239, in bubble
if o not in self._elements:
ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()
Uncaught exception. Entering post mortem debugging
I tried examining the if o not in self._elements: line it stopped at:
(Pdb) print o
((((0.125, -0.09000000000000002, 0.20514705882352943, 0.1),), ()), (25, <matplotlib.axes._axes.Axes object at 0x7efbc85c0310>))
(Pdb) print self._elements
[(((8, 3, 1), ()), (1, <matplotlib.axes._subplots.AxesSubplot object at 0x7efbcaad6cd0>)),
(((8, 3, 4), ()), (2, <matplotlib.axes._subplots.AxesSubplot object at 0x7efbc8d79490>)),
(((8, 3, 7), ()), (3, <matplotlib.axes._subplots.AxesSubplot object at 0x7efbc8cf7c10>)),
(((8, 3, 10), ()), (4, <matplotlib.axes._subplots.AxesSubplot object at 0x7efbc8c766d0>)),
(((8, 3, 13), ()), (5, <matplotlib.axes._subplots.AxesSubplot object at 0x7efbc8c50990>)),
(((8, 3, 16), ()), (6, <matplotlib.axes._subplots.AxesSubplot object at 0x7efbc8be4c10>)),
(((8, 3, 19), ()), (7, <matplotlib.axes._subplots.AxesSubplot object at 0x7efbc8b6c6d0>)),
(((8, 3, 22), ()), (8, <matplotlib.axes._subplots.AxesSubplot object at 0x7efbc8aec190>)),
(((8, 3, 2), ()), (9, <matplotlib.axes._subplots.AxesSubplot object at 0x7efbc8c3e890>)),
(((8, 3, 5), ()), (10, <matplotlib.axes._subplots.AxesSubplot object at 0x7efbc8cd1e50>)),
(((8, 3, 8), ()), (11, <matplotlib.axes._subplots.AxesSubplot object at 0x7efbc8a7fb50>)),
(((8, 3, 11), ()), (12, <matplotlib.axes._subplots.AxesSubplot object at 0x7efbc8a05610>)),
(((8, 3, 14), ()), (13, <matplotlib.axes._subplots.AxesSubplot object at 0x7efbc89820d0>)),
(((8, 3, 17), ()), (14, <matplotlib.axes._subplots.AxesSubplot object at 0x7efbc88f4b50>)),
(((8, 3, 20), ()), (15, <matplotlib.axes._subplots.AxesSubplot object at 0x7efbc887b610>)),
(((8, 3, 23), ()), (16, <matplotlib.axes._subplots.AxesSubplot object at 0x7efbc87f90d0>)),
(((8, 3, 3), ()), (17, <matplotlib.axes._subplots.AxesSubplot object at 0x7efbc873f3d0>)),
(((8, 3, 6), ()), (18, <matplotlib.axes._subplots.AxesSubplot object at 0x7efbc86f56d0>)),
(((8, 3, 9), ()), (19, <matplotlib.axes._subplots.AxesSubplot object at 0x7efbc8673150>)),
(((8, 3, 12), ()), (20, <matplotlib.axes._subplots.AxesSubplot object at 0x7efbc873ff90>)),
(((8, 3, 15), ()), (21, <matplotlib.axes._subplots.AxesSubplot object at 0x7efbc88d6bd0>)),
(((8, 3, 18), ()), (22, <matplotlib.axes._subplots.AxesSubplot object at 0x7efbc89c32d0>)),
(((8, 3, 21), ()), (23, <matplotlib.axes._subplots.AxesSubplot object at 0x7efbc8ce7d90>))
, (((8, 3, 24), ()), (24, <matplotlib.axes._subplots.AxesSubplot object at 0x7efbc87560d0>)),
((((0.125, -0.09000000000000002, 0.20514705882352943, 0.1),), ()), (25, <matplotlib.axes._axes.Axes object at 0x7efbc85c0310>))]
(Pdb) self._elements[-1] == o
True
(Pdb) self._elements[-2] == o
*** ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()
(Pdb) print
(Pdb)
(Pdb) o in set(self._elements)
True
(Pdb) np.any([np.all(i==o) for i in self._elements])
*** ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()
So it failed to do the equality comparison between o and elements in self._elements. As shown in the console output, np.any([np.all(i==o) for i in self._elements]) doesn't work.
I managed to get around this by using:
if o not in set(self._elements):
Similarly for the same line in remove() in the same cbook/__init__.py file.
And also for the line
if thiso == o:
is changed to
if set([thiso]) == set([o]):
Not entirely sure this is the correct way though.
Matplotlib version
- Operating system: Linux Mint 19.1
- Matplotlib version: 2.2.3 py27hb69df0a_0
- Matplotlib backend (
print(matplotlib.get_backend())): Qt5Agg - Python version: 2.7.17
- Other libraries: probably not relevant.
Matplotlib installed via conda install matplotlib