import os, sys
import numpy as np
import scipy.io as sio
# add exp code folder to path
currfolder = os.getcwd()
codefolder = currfolder[0:currfolder.find('code') + len('code')]
sys.path.append(codefolder)
from util.folder_extract import code_corresfolder
from connAnalyTool.synchronization_indices import ciCoherence_acrosstrials
folder_code_corres, folder_codecorresparent = code_corresfolder(__file__)
savefolder = code_corres_folder
def lfpallfiles_extract(files):
if 'lfpdatas' in locals():
del lfpdata
for i, file in enumerate(files):
### load data
matdat = sio.loadmat(file,
variable_names=variablesinLoadfile,
struct_as_record=False,
squeeze_me=True)
### extract the noused channels, only calculate once
if i == 0:
files_normal.sort()
dailyfc_visual(files_normal)
files_mild.sort()
dailyfc_visual(files_mild)
files_moderate.sort()
dailyfc_visual(files_moderate)
animal = re.search('NHPs/[a-zA-Z]*/', __file__).group()[len('NHPs/'):-1]
_, _, pipelinefolder, _= exp_subfolders()
corresfolder, correparentfolder = code_corresfolder(__file__)
freq = [26, 28]
inputfolder = os.path.join(pipelinefolder, 'NHPs', animal, '0_dataPrep', 'Rest', 'm4_restData_filtered' + str(freq[0]) + '_' + str(freq[1]) + '_eqLen')
area_coord_file = os.path.join(correparentfolder, 'chn_brainArea_simCoord_BrainArea.csv')
savefolder = corresfolder
text_task = 'Rest'
if __name__ == '__main__':
# main()
cond = 'normal'
save_prefix = 'all'
images = glob.glob(os.path.join(savefolder, cond + '_' + save_prefix + '_[0-9]*'))
images.sort()
# ## exp subfolders & code_corresfolder
# %%
_, _, pipelinefolder, _ = exp_subfolders()
# %%
get_ipython().run_cell_magic(
'javascript', '',
'IPython.notebook.kernel.execute(\'nb_name = "\' + IPython.notebook.notebook_name + \'"\')'
)
# %%
nb_name = nb_name[0:nb_name.find('.ipynb')]
# corresfolder
corresfolder, correparentfolder = code_corresfolder(os.getcwd(), nb_name)
# %% [markdown]
# ## global parameters
# %%
freq = [26, 28]
sameDates4SKTRest = True
# %% [markdown]
# ## input setup
# %%
inputfolder = os.path.join(pipelinefolder, 'NHP_Pinky', '0_dataPrep', 'Rest',
'm6_restData_averagedAcrossOneArea')
