Closed
Description
The following code:
import matplotlib.pyplot as plt
plt.annotate('X', (0, float('nan')))
plt.tight_layout()
plt.savefig('crash.png')raises an exception when using matplotlib 3, including 3.0.1.
It works fine with matplotlib 2.
/tmp/mpl3/lib/python3.7/site-packages/numpy/core/fromnumeric.py:83: RuntimeWarning: invalid value encountered in reduce
return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
/tmp/mpl3/lib/python3.7/site-packages/numpy/core/_methods.py:32: RuntimeWarning: invalid value encountered in reduce
return umr_minimum(a, axis, None, out, keepdims, initial)
/tmp/mpl3/lib/python3.7/site-packages/numpy/core/_methods.py:28: RuntimeWarning: invalid value encountered in reduce
return umr_maximum(a, axis, None, out, keepdims, initial)
Traceback (most recent call last):
File "mplbug.py", line 5, in <module>
plt.savefig('crash.png')
File "/tmp/mpl3/lib/python3.7/site-packages/matplotlib/pyplot.py", line 689, in savefig
res = fig.savefig(*args, **kwargs)
File "/tmp/mpl3/lib/python3.7/site-packages/matplotlib/figure.py", line 2094, in savefig
self.canvas.print_figure(fname, **kwargs)
File "/tmp/mpl3/lib/python3.7/site-packages/matplotlib/backends/backend_qt5agg.py", line 88, in print_figure
super().print_figure(*args, **kwargs)
File "/tmp/mpl3/lib/python3.7/site-packages/matplotlib/backend_bases.py", line 2075, in print_figure
**kwargs)
File "/tmp/mpl3/lib/python3.7/site-packages/matplotlib/backends/backend_agg.py", line 510, in print_png
FigureCanvasAgg.draw(self)
File "/tmp/mpl3/lib/python3.7/site-packages/matplotlib/backends/backend_agg.py", line 402, in draw
self.figure.draw(self.renderer)
File "/tmp/mpl3/lib/python3.7/site-packages/matplotlib/artist.py", line 50, in draw_wrapper
return draw(artist, renderer, *args, **kwargs)
File "/tmp/mpl3/lib/python3.7/site-packages/matplotlib/figure.py", line 1649, in draw
renderer, self, artists, self.suppressComposite)
File "/tmp/mpl3/lib/python3.7/site-packages/matplotlib/image.py", line 138, in _draw_list_compositing_images
a.draw(renderer)
File "/tmp/mpl3/lib/python3.7/site-packages/matplotlib/artist.py", line 50, in draw_wrapper
return draw(artist, renderer, *args, **kwargs)
File "/tmp/mpl3/lib/python3.7/site-packages/matplotlib/axes/_base.py", line 2610, in draw
mimage._draw_list_compositing_images(renderer, self, artists)
File "/tmp/mpl3/lib/python3.7/site-packages/matplotlib/image.py", line 138, in _draw_list_compositing_images
a.draw(renderer)
File "/tmp/mpl3/lib/python3.7/site-packages/matplotlib/artist.py", line 50, in draw_wrapper
return draw(artist, renderer, *args, **kwargs)
File "/tmp/mpl3/lib/python3.7/site-packages/matplotlib/axis.py", line 1185, in draw
ticks_to_draw = self._update_ticks(renderer)
File "/tmp/mpl3/lib/python3.7/site-packages/matplotlib/axis.py", line 1023, in _update_ticks
tick_tups = list(self.iter_ticks()) # iter_ticks calls the locator
File "/tmp/mpl3/lib/python3.7/site-packages/matplotlib/axis.py", line 967, in iter_ticks
majorLocs = self.major.locator()
File "/tmp/mpl3/lib/python3.7/site-packages/matplotlib/ticker.py", line 1985, in __call__
return self.tick_values(vmin, vmax)
File "/tmp/mpl3/lib/python3.7/site-packages/matplotlib/ticker.py", line 1993, in tick_values
locs = self._raw_ticks(vmin, vmax)
File "/tmp/mpl3/lib/python3.7/site-packages/matplotlib/ticker.py", line 1932, in _raw_ticks
nbins = np.clip(self.axis.get_tick_space(),
File "/tmp/mpl3/lib/python3.7/site-packages/matplotlib/axis.py", line 2159, in get_tick_space
return int(np.floor(length / size))
ValueError: cannot convert float NaN to integerBased on the traceback, the following issues might be related:
#10360 (likely this is a duplicate)
#11386
#6789
The snippet has been tested on brand new conda environments with the defaults
channel.
Matplotlib 3 env
$ conda create -p /tmp/mpl3 matplotlib=3 --yes
Solving environment: done
## Package Plan ##
environment location: /tmp/mpl3
added / updated specs:
- matplotlib=3
The following packages will be downloaded:
package | build
---------------------------|-----------------
matplotlib-3.0.1 | py37h5429711_0 6.6 MB
The following NEW packages will be INSTALLED:
blas: 1.0-mkl
ca-certificates: 2018.03.07-0
certifi: 2018.10.15-py37_0
cycler: 0.10.0-py37_0
dbus: 1.13.2-h714fa37_1
expat: 2.2.6-he6710b0_0
fontconfig: 2.13.0-h9420a91_0
freetype: 2.9.1-h8a8886c_1
glib: 2.56.2-hd408876_0
gst-plugins-base: 1.14.0-hbbd80ab_1
gstreamer: 1.14.0-hb453b48_1
icu: 58.2-h9c2bf20_1
intel-openmp: 2019.0-118
jpeg: 9b-h024ee3a_2
kiwisolver: 1.0.1-py37hf484d3e_0
libedit: 3.1.20170329-h6b74fdf_2
libffi: 3.2.1-hd88cf55_4
libgcc-ng: 8.2.0-hdf63c60_1
libgfortran-ng: 7.3.0-hdf63c60_0
libpng: 1.6.35-hbc83047_0
libstdcxx-ng: 8.2.0-hdf63c60_1
libuuid: 1.0.3-h1bed415_2
libxcb: 1.13-h1bed415_1
libxml2: 2.9.8-h26e45fe_1
matplotlib: 3.0.1-py37h5429711_0
mkl: 2019.0-118
mkl_fft: 1.0.6-py37h7dd41cf_0
mkl_random: 1.0.1-py37h4414c95_1
ncurses: 6.1-hf484d3e_0
numpy: 1.15.3-py37h1d66e8a_0
numpy-base: 1.15.3-py37h81de0dd_0
openssl: 1.0.2p-h14c3975_0
pcre: 8.42-h439df22_0
pip: 10.0.1-py37_0
pyparsing: 2.2.2-py37_0
pyqt: 5.9.2-py37h05f1152_2
python: 3.7.0-h6e4f718_3
python-dateutil: 2.7.3-py37_0
pytz: 2018.5-py37_0
qt: 5.9.6-h8703b6f_2
readline: 7.0-h7b6447c_5
setuptools: 40.4.3-py37_0
sip: 4.19.8-py37hf484d3e_0
six: 1.11.0-py37_1
sqlite: 3.25.2-h7b6447c_0
tk: 8.6.8-hbc83047_0
tornado: 5.1.1-py37h7b6447c_0
wheel: 0.32.2-py37_0
xz: 5.2.4-h14c3975_4
zlib: 1.2.11-ha838bed_2
Downloading and Extracting Packages
matplotlib-3.0.1 | 6.6 MB | ########################################################################### | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use
#
# $ conda activate /tmp/mpl3
#
# To deactivate an active environment, use
#
# $ conda deactivate
Matplotlib 2 conda environment
$ conda create -p /tmp/mpl2 matplotlib=2 --yes (/tmp/mpl3)
Solving environment: done
## Package Plan ##
environment location: /tmp/mpl2
added / updated specs:
- matplotlib=2
The following NEW packages will be INSTALLED:
blas: 1.0-mkl
ca-certificates: 2018.03.07-0
certifi: 2018.10.15-py37_0
cycler: 0.10.0-py37_0
dbus: 1.13.2-h714fa37_1
expat: 2.2.6-he6710b0_0
fontconfig: 2.13.0-h9420a91_0
freetype: 2.9.1-h8a8886c_1
glib: 2.56.2-hd408876_0
gst-plugins-base: 1.14.0-hbbd80ab_1
gstreamer: 1.14.0-hb453b48_1
icu: 58.2-h9c2bf20_1
intel-openmp: 2019.0-118
jpeg: 9b-h024ee3a_2
kiwisolver: 1.0.1-py37hf484d3e_0
libedit: 3.1.20170329-h6b74fdf_2
libffi: 3.2.1-hd88cf55_4
libgcc-ng: 8.2.0-hdf63c60_1
libgfortran-ng: 7.3.0-hdf63c60_0
libpng: 1.6.35-hbc83047_0
libstdcxx-ng: 8.2.0-hdf63c60_1
libuuid: 1.0.3-h1bed415_2
libxcb: 1.13-h1bed415_1
libxml2: 2.9.8-h26e45fe_1
matplotlib: 2.2.3-py37hb69df0a_0
mkl: 2019.0-118
mkl_fft: 1.0.6-py37h7dd41cf_0
mkl_random: 1.0.1-py37h4414c95_1
ncurses: 6.1-hf484d3e_0
numpy: 1.15.3-py37h1d66e8a_0
numpy-base: 1.15.3-py37h81de0dd_0
openssl: 1.0.2p-h14c3975_0
pcre: 8.42-h439df22_0
pip: 10.0.1-py37_0
pyparsing: 2.2.2-py37_0
pyqt: 5.9.2-py37h05f1152_2
python: 3.7.0-h6e4f718_3
python-dateutil: 2.7.3-py37_0
pytz: 2018.5-py37_0
qt: 5.9.6-h8703b6f_2
readline: 7.0-h7b6447c_5
setuptools: 40.4.3-py37_0
sip: 4.19.8-py37hf484d3e_0
six: 1.11.0-py37_1
sqlite: 3.25.2-h7b6447c_0
tk: 8.6.8-hbc83047_0
tornado: 5.1.1-py37h7b6447c_0
wheel: 0.32.2-py37_0
xz: 5.2.4-h14c3975_4
zlib: 1.2.11-ha838bed_2
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use
#
# $ conda activate /tmp/mpl2
#
# To deactivate an active environment, use
#
# $ conda deactivate
The issue has been encountered in real code that expects MPL to deal with nan
values properly.
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