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Regression when calling annotate with nan values for the position #12648

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#12651
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Regression when calling annotate with nan values for the position#12648
#12651
Milestone
v3.0.2
@Zaharid

Description

@Zaharid
Zaharid
opened on Oct 27, 2018

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 integer

Based 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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