[Mne_analysis] on_missing and time-frequency

[Denis-Alexander Engemann]

Thanks Virginie,

I opened a PR, which is based on your suggestion.

2014-10-02 22:42 GMT+02:00 Virginie van Wassenhove <
virginie.van.wassenhove at gmail.com>:

> simply specify that "if no event id are found in the data, an error will
> be automatically generated irrespective of the str"
>
> however, i am still unclear about what "no_missing" means: how would
> mne.epochs know in advance whether an event should be there or not (hence
> that it is missing)?
>


The mismatch is produced as follows:

You pass an event_id that will be a dict in most cases, e.g. {'left': 1,
'right':2}.

Second you pass events at which to segment the continuous recordings.
For simplicity let's assume we only have two of them.

np.array([[1, 0, 14],  [1, 0, 2]])

In this case the event id 'left' is not found in the events (not in the
data) and 'on_missing' becomes relevant.

For the sourcecode see:
https://github.com/mne-tools/mne-python/blob/master/mne/epochs.py#L708

If no event id is found at all and 'on_missing' is set to 'ignore' it will
crash here:

https://github.com/mne-tools/mne-python/blob/master/mne/epochs.py#L731


-Denis


> -V
>
> On Thu, Oct 2, 2014 at 6:30 PM, Alexandre Gramfort <
> alexandre.gramfort at telecom-paristech.fr> wrote:
>
>>  nice to hear it works
>>
>>  how would you phrase the doc? It is currently:
>>
>>      on_missing : str
>>         What to do if an event id is not found in the recording.
>>         Valid keys are 'error' | 'warning' | 'ignore'
>>         Default is 'error'. If on_missing is 'warning' it will proceed but
>>         warn, if 'ignore' it will proceed silently.
>>
>>  Alex
>>
>
>
>
>
>
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