In [6]:

    

# Notebook settings (i.e. this thing settings) 
%matplotlib inline
#%matplotlib notebook 
#Change to %matplotlib notebook to be able to zoom, pan, etc the figures,
#inline is only used so the notebook can be exported to .rst format and hosted on readthedocs
%load_ext autoreload
%autoreload 2


    

    




The autoreload extension is already loaded. To reload it, use:
  %reload_ext autoreload

In [7]:

    

# Documentation at: http://pyseries.readthedocs.io/en/latest/

# To use last version of pyseries enter in the terminal (pip installation: https://pip.pypa.io/en/stable/installing/)
# >>> pip install pyseries 

# To use use pyseries locally from downloaded github repo (when you want to make changes to source code),
# 1) pip uninstall pyseries 
# 2) checkout https://github.com/ryscet/pyseries.git (tutorial: https://help.github.com/articles/fetching-a-remote/)
# 3) uncomment below and put a correct path 

import sys
sys.path.insert(0, '/Users/user/Desktop/repo_for_pyseries/pyseries/')


    

In [8]:

    

import pyseries.LoadingData as loading
import pyseries.Preprocessing as prep
import pyseries.Analysis as analysis


    

In [9]:

    

def plot_rest():
    paths = [   '/Users/user/Desktop/nagrania_eeg/rest/Ania_14_06_16/',
                '/Users/user/Desktop/nagrania_eeg/rest/Karen_14_06_16/',
                '/Users/user/Desktop/nagrania_eeg/rest/Kuba_14_06_16/',
             
                '/Users/user/Desktop/nagrania_eeg/rest/Rysiek_03_06_16/',
                '/Users/user/Desktop/nagrania_eeg/rest/Rysiek_07_21_16/',

                '/Users/user/Desktop/nagrania_eeg/rest/Aleksandra_07_21_16/',

                '/Users/user/Desktop/nagrania_eeg/rest/Aleksandra_07_15_16/',
                '/Users/user/Desktop/nagrania_eeg/rest/Agnieszka_03_06_16/',
                '/Users/user/Desktop/nagrania_eeg/rest/Agnieszka_07_21_16/'
                ]


    for idx, path in enumerate(paths):
        recording = loading.Read_edf.Combine_EDF_XML(path, 3, 70)
        
        epochs_info= {"Eyes Open": [0, 498*140], "Eyes Closed": [0, 498 *140]}
        
        epochs = prep.Epochs.Make_Epochs_for_Channels(recording, ['EEG O1'],epochs_info)
        
        power_density= analysis.Explore.PlotPowerSpectrum(epochs['EEG O1'], 498, mode = 'welch', name = path, save_path ="/Users/user/Desktop/Figures/rest/" + str(idx) + ".png"   )

        #prep.Epochs.mark_events(recording,['EEG O1'], subject_name = path)


    

In [10]:

    

plot_rest()


    

    




(497.971446705165,)
/Users/user/Desktop/nagrania_eeg/rest/Ania_14_06_16/
(497.971446705165,)
/Users/user/Desktop/nagrania_eeg/rest/Karen_14_06_16/
(497.971446705165,)
/Users/user/Desktop/nagrania_eeg/rest/Kuba_14_06_16/
(497.971446705165,)
/Users/user/Desktop/nagrania_eeg/rest/Rysiek_03_06_16/
(500.0,)
/Users/user/Desktop/nagrania_eeg/rest/Aleksandra_07_15_16/
(500.0,)
/Users/user/Desktop/nagrania_eeg/rest/Rysiek_07_21_16/
(500.0,)
/Users/user/Desktop/nagrania_eeg/rest/Aleksandra_07_21_16/
(497.971446705165,)
/Users/user/Desktop/nagrania_eeg/rest/Agnieszka_03_06_16/
(500.0,)
/Users/user/Desktop/nagrania_eeg/rest/Agnieszka_07_21_16/






    













    













    













    













    













    













    













    













    

In [ ]: