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MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
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Function plot incorrectly exit #7942

Closed YeZiyi1998 closed 4 years ago

YeZiyi1998 commented 4 years ago

Here is my code.

import os
import mne
import ssl

sample_data_folder = mne.datasets.sample.data_path()
sample_data_raw_file = os.path.join(sample_data_folder, 'MEG', 'sample',
                                    'sample_audvis_filt-0-40_raw.fif')
event_fname = os.path.join(sample_data_folder,'MEG','sample','sample_audvis_filt-0-40_raw-eve.fif')
raw = mne.io.read_raw_fif(sample_data_raw_file)
# print(raw.info)
# raw.plot_psd(fmax=50)
raw.plot(duration=1, n_channels=3)

The result is 

Opening raw data file /Users/yeziyi/mne_data/MNE-sample-data/MEG/sample/sample_audvis_filt-0-40_raw.fif...
    Read a total of 4 projection items:
        PCA-v1 (1 x 102)  idle
        PCA-v2 (1 x 102)  idle
        PCA-v3 (1 x 102)  idle
        Average EEG reference (1 x 60)  idle
    Range : 6450 ... 48149 =     42.956 ...   320.665 secs
Ready.
Current compensation grade : 0

Process finished with exit code 139 (interrupted by signal 11: SIGSEGV)

and there is not expected graph output. My computer is mac and mne is the latest version for python3.

agramfort commented 4 years ago

can you report what mne.sys_info() outputs?

YeZiyi1998 commented 4 years ago

Yes, Here it is.

Platform:      Darwin-19.5.0-x86_64-i386-64bit
Python:        3.7.2 (default, Jan 13 2019, 12:50:01)  [Clang 10.0.0 (clang-1000.11.45.5)]
Executable:    /usr/local/opt/python/bin/python3.7
CPU:           i386: 8 cores
Memory:        Unavailable (requires "psutil" package)
mne:           0.20.7
numpy:         1.16.1 {blas=openblas, lapack=openblas}
scipy:         1.2.1
matplotlib:    3.0.3 {backend=MacOSX}

sklearn:       0.20.3
numba:         Not found
nibabel:       Not found
cupy:          Not found
pandas:        1.0.3
dipy:          Not found
mayavi:        Not found
pyvista:       Not found
vtk:           Not found
None
YeZiyi1998 commented 4 years ago

I tried to install psutil and after that the result is:

Platform:      Darwin-19.5.0-x86_64-i386-64bit
Python:        3.7.2 (default, Jan 13 2019, 12:50:01)  [Clang 10.0.0 (clang-1000.11.45.5)]
Executable:    /usr/local/opt/python/bin/python3.7
CPU:           i386: 8 cores
Memory:        16.0 GB

mne:           0.20.7
numpy:         1.16.1 {blas=openblas, lapack=openblas}
scipy:         1.2.1
matplotlib:    3.0.3 {backend=MacOSX}

sklearn:       0.20.3
numba:         Not found
nibabel:       Not found
cupy:          Not found
pandas:        1.0.3
dipy:          Not found
mayavi:        Not found
pyvista:       Not found
vtk:           Not found
None

However, still have the problem of "Process finished with exit code 139 (interrupted by signal 11: SIGSEGV)".

larsoner commented 4 years ago

Probably another problem with the macOS backend. Can you try setting the env var MPLBACKEND=Qt5Agg or doing import matplotlib; matplotlib.use('Qt5Agg') and see if it gets rid of the segfault?

YeZiyi1998 commented 4 years ago

The segfault problem is solved but there is not image of 'raw.plot(duration=1, n_channels=3)' showed, while 'raw.plot_psd(fmax=50)' can show image accurately. Why is this problem occur?

cbrnr commented 4 years ago

Works for me with the default osx backend. @YeZiyi1998 try adding block=True in your call to raw.plot.

YeZiyi1998 commented 4 years ago

Thanks. Adding "block=True" really works. @cbrnr