[Mne_analysis] Filtering with EpochsArray

[JR KING]

If it is a file type which is not supported, could you open an issue on
Github?

If you have the continuous raw data in an array format, you can recreate a
raw with mne.io.RawArray

Else, well, good luck ;)

JR

On 10 August 2016 at 09:06, Emanuela Liaci <emanuela.liaci at gmail.com> wrote:

> Hi,
>
> thanks for your response. The problem is that the format of my raw data is
> not available in mne python and for this reason I created a 3d array for my
> epochs. So I don't have raw data.
>
> Cheers,
> Emanuela Liaci
>
> On Wed, Aug 10, 2016 at 2:43 PM, JR KING <jeanremi.king at gmail.com> wrote:
>
>> Hi Emanuela,
>>
>> We recommend not applying filter on epoched data, as the epochs edges
>> generate important artifacts. Instead, you can apply filters on the raw
>> data using raw.filter()
>>
>> If you really want to apply in on epochs data, you can retrieve the data
>> array, and pass it to mne.filter functions: e.g.
>>
>> epochs_data = epochs.get_data()
>> low, high = 10., 30.
>> epochs_data_filt = mne.filter.band_pass_filter(epochs_data, epochs.info['sfreq'],
>> low, high)
>> epochs_filt = mne.EpochsArray(epochs_data_filt, epochs.info)
>>
>> Hope that helps,
>>
>> Best,
>>
>> Jean-Rémi
>>
>> On 10 August 2016 at 08:01, Emanuela Liaci <emanuela.liaci at gmail.com>
>> wrote:
>>
>>> Hello,
>>>
>>> I have built my epochs with EpochsArray and I would like to apply a
>>> low-pass filter. But when I tried to do this:
>>>
>>> epochs = mne.EpochsArray(ElectrodeArray, info=info, baseline = (None,
>>> 0.04))
>>> epochs.filter(l_freq=None, h_freq=25.0)
>>>
>>> I get the error the following error: "AttributeError: 'EpochsArray'
>>> object has no attribute 'filter'".
>>>
>>> How can I solve this issue?
>>>
>>> Many thanks,
>>> Emanuela Liaci
>>>
>>>
>>>
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