[Mne_analysis] mne.write_cov error

[mlgeliliangao]

不一定。
我想把成对的功能连接值重回大脑显示，这个老美的讨论是否给你提示呢，所以，转给你了

发自我的 iPad

> 在 2016年4月29日，6:21，JR KING <jeanremi.king at gmail.com> 写道：
> 
> Dear Peng,
> 
> You shouldn't save your covariance in a text file. Covariance object contains headers/metadata
> 
> You should do:
> 
> import mne
> epochs = mne.read_epochs(epochs_path) 
> 
> # compute covariance
> cov = mne.compute_covariance(epochs, tmax=0.)
> 
> # save covariance object
> cov.save('my_file-cov.fif')
> 
> # read covariance object
> cov = mne.read_cov(fname_cov)
> 
> 
> Try following the website tutorials first:
> http://martinos.org/mne/dev/auto_examples/io/plot_read_noise_covariance_matrix.html#sphx-glr-auto-examples-io-plot-read-noise-covariance-matrix-py
> http://martinos.org/mne/dev/faq.html#how-should-i-regularize-the-covariance-matrix
> 
> Best,
> 
> Jean-Rémi
> 
> 
> 
>> On 28 April 2016 at 17:17, Peng Zan <zanpeng.pz at gmail.com> wrote:
>> Dear mne expert,
>> 
>> I wanted to write a covariance matrix into a *-cov.fif file using python command 'mne.write_cov' but failed. I saved the covariance matrix into a txt file 'R2262.txt' and then read it via python to cov_matrix. The error occurred in the step of 'write_cov'. In tutorial, only file name and the matrix are needed. Everything should be correct but it said 'str' had no attribute 'save'. The detail is as follows.
>> 
>> >>> cov = open('/Users/Peng/Documents/MNE/MNE_analysis/MNE_TRFs/MEG/R2262_S0807/R2262cov.txt'); cov_matrix = cov.read()
>> 
>> >>> mne.write_cov('/Users/Peng/Documents/MNE/MNE_analysis/MNE_TRFs/MEG/R2262_S0807/R2262_trf-cp-cov.fif',cov_matrix)
>> 
>> Traceback (most recent call last):
>> 
>>   File "<stdin>", line 1, in <module>
>> 
>>   File "/Users/Peng/Library/Python/2.7/lib/python/site-packages/mne-0.12.dev0-py2.7.egg/mne/cov.py", line 1181, in write_cov
>> 
>>     cov.save(fname)
>> 
>> AttributeError: 'str' object has no attribute 'save'
>> 
>> 
>> 
>> Do you have any idea how should this work?
>> 
>> Thank you very much!
>> 
>> Sincerely,
>> 
>> Peng
>> 
>> 
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