# Extract channels as numpy arrays **URL:** \ **Category:** Mailing List Archive (read-only)\ **Tags:** list-archive\ **Created:** [May 3, 2019, 2:35pm UTC](https://mne.discourse.group/t/extract-channels-as-numpy-arrays/1834 "2019-05-03T14:35:52Z")\ **Posts on this page:** 2\ **Page:** 1
**Author:** ![system](https://global.discourse-cdn.com/free1/uploads/mne/original/1X/85cc6bd2b69cb698a166dc6d880fb550510d0144.jpeg) [@system](https://mne.discourse.group/u/system)\ **Post date:** [May 3, 2019, 2:35pm UTC](https://mne.discourse.group/t/extract-channels-as-numpy-arrays/1834/1 "2019-05-03T14:35:52Z")
External Email - Use Caution Dear MNE enthusiasts, I reach out to you with a specific question regarding the python MNE library and hope you can assist me as my colleagues can't. I am a neurologist interested in analyzing EEG data using the python version of mne. Pursuant to the mne documentation I have run the following python code: " \*import os.path as opimport numpy as npimport mnedata\_path = op.join(mne.datasets.sample.data\_path(), 'MEG', 'sample')raw = mne.io.read\_raw\_fif(op.join(data\_path, 'sample\_audvis\_raw.fif'), preload=True)raw.set\_eeg\_reference('average', projection=True) # set EEG average referenceraw.plot(block=True, lowpass=40)raw.plot(butterfly=True, group\_by='position')\* " Doing this allowed me to visualize the EEG data as follows: [image: grafik.png] Is there a way to output each of the MEG channels (just the curves) as numpy arrays? I would appreciate your help very much. Thank you very much. Best regards Kebir ---
**Author:** ![system](https://global.discourse-cdn.com/free1/uploads/mne/original/1X/85cc6bd2b69cb698a166dc6d880fb550510d0144.jpeg) [@system](https://mne.discourse.group/u/system)\ **Post date:** [May 3, 2019, 4:38pm UTC](https://mne.discourse.group/t/extract-channels-as-numpy-arrays/1834/2 "2019-05-03T16:38:32Z")
External Email - Use Caution Raw objects have a get\_data method: raw\_array = raw.get\_data()