Expected dtype object, got 'numpy.dtype[float64]'

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1
  • MNE-Python version: 0.23
  • operating system: win10
bids_path = BIDSPath(subject=subject_id, task='test',
                     root=settings_eeg.bids_root_path_init(),
                     session='5',datatype='eeg',suffix='eeg')

raw = read_raw_bids(bids_path=bids_path,
                    extra_params=dict(preload=True,eog=['EOG']))

I used read_raw_bids in the last few days. But it did not work today when I try to run the same code again. it rased the error"expected dtype object, got ‘numpy.dtype[float64]’". I have tried the read_raw_brainvision, it also didn’t work. anyone can help me fix this problem? or give me some suggestions? Appreciate in advance

2

Hey @XiaTaopsycho could you please post the full error message (the full traceback)

3

Hello! I’ve been encountering the same issue.
I also have the MNE 0.23 version on windows 10
Here is what I get :

mne.io.read_raw_gdf( "C:/Users/Public/Documents/imagined_S101.gdf", preload=True )
Extracting EDF parameters from C:\Users\Public\Documents\imagined_S101.gdf...
GDF file detected
Setting channel info structure...
Creating raw.info structure...
Traceback (most recent call last):

  File "<ipython-input-14-6ef4ccb4f56c>", line 1, in <module>
    mne.io.read_raw_gdf( "C:/Users/Public/Documents/imagined_S101.gdf", preload=True )

  File "C:\ProgramData\Anaconda3\lib\site-packages\mne\io\edf\edf.py", line 1366, in read_raw_gdf
    return RawGDF(input_fname=input_fname, eog=eog, misc=misc,

  File "<decorator-gen-198>", line 24, in __init__

  File "C:\ProgramData\Anaconda3\lib\site-packages\mne\io\edf\edf.py", line 197, in __init__
    super().__init__(info, preload, filenames=[input_fname],

  File "<decorator-gen-179>", line 24, in __init__

  File "C:\ProgramData\Anaconda3\lib\site-packages\mne\io\base.py", line 257, in __init__
    self._preload_data(preload)

  File "C:\ProgramData\Anaconda3\lib\site-packages\mne\io\base.py", line 536, in _preload_data
    (0, len(self.times) - 1, 0., self.times[-1]))

  File "C:\ProgramData\Anaconda3\lib\site-packages\mne\io\base.py", line 1580, in times
    out = _arange_div(self.n_times, float(self.info['sfreq']))

TypeError: expected dtype object, got 'numpy.dtype[float64]'

I am having the same issue with all my GDF files.
I also tried updating numpy to version 1.22.4 but no changes…
Any ideas what this might be due to? Thanks in advance!

4

can you share one file with us to see if we can replicate the problem?

ALex

5

Hello @icasso, I’d suggest you create a new MNE-Python environment with the latest version, following our installation instructions at:

https://mne.tools/stable/install/index.html

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Hello thanks for answering! you can find one here

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I have no problem loading this file with the latest version of mne

In [1]: import mne
raw
In [2]: raw = mne.io.read_raw(‘imagined_S103.gdf’)
:1: RuntimeWarning: Omitted 1 annotation(s) that were outside data range.
raw = mne.io.read_raw(‘imagined_S103.gdf’)

In [3]: raw.plot()
Out[3]: <mne_qt_browser._pg_figure.MNEQtBrowser at 0x7fe3f8ff6a60>

Alex

8

Hello thanks for your answers, I have tried with the new mne version in a new environment with no success. I will try re-installing anaconda

9

You can also use one of our installers, they contain everything you need and actually deploy an entire conda installation.

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In case someone is interested and for reference, I had the same error and I solved it by updating my numba version.

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